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Herbert W. Seliger Second Language Research Methods Herbert W. Seliger Second Language Research Methods
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Herbert W. Seliger Second Language Research Methods


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2670 руб.

Based on a set of four research parameters, this book discusses the development of research questions and hypotheses, naturalistic and experimental research, data collection, and validation of research instruments. Each chapter includes examples and activities.

Jo Rycroft-Malone Models and Frameworks for Implementing Evidence-Based Practice. Linking Evidence to Action Jo Rycroft-Malone Models and Frameworks for Implementing Evidence-Based Practice. Linking Evidence to Action
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Jo Rycroft-Malone Models and Frameworks for Implementing Evidence-Based Practice. Linking Evidence to Action


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4397.17 руб.

The Evidence-Based Nursing Series is co-published with Sigma Theta Tau International (STTI). The series focuses on implementing evidence-based practice in nursing and mirrors the remit of Worldviews on Evidence-Based Nursing, encompassing clinical practice, administration, research and public policy. Models and Frameworks for Implementing Evidence- Based Practice: Linking Evidence to Action looks at ways of implementing evidence gained through research and factors that influence successful implementation. It acknowledges the gap that exists between obtaining evidence and the practicalities of putting it into practice and provides direction to help to close this gap. This, the first book in the series, helps the reader to make decisions about the appropriateness of using various models and frameworks. A selection of models and frameworks are examined in detail including examples of their use in practice. The book concludes with an analysis and synthesis of the included models and frameworks. The models and frameworks that have been included are based on a number of criteria: that they are internationally recognised, have undergone widespread evaluation and testing, are transferable across different settings, and can be used by different disciplines. Models and frameworks include: Stetler Model Ottowa Model of Research Use IOWA model of evidence-based practice Advancing Research and Clinical Practice through Close Collaboration (ARCC) model Dobbins’ dissemination and use of research evidence for policy and practice framework Joanna Briggs Institute model Knowledge to Action framework Promoting Action on Research Implementation in Health Services (PARIHS) Key Points: Includes an overview of implementation issues and the use of theory and frameworks in implementing evidence into practice Chapters are written by the developers of the model or framework Each chapter provides background on an implementation model or framework, suitable applications, underlying theory and examples of use Each chapter examines strengths and weaknesses of each model alongside barriers and facilitators for its implementation

Zhu Hua Research Methods in Intercultural Communication. A Practical Guide Zhu Hua Research Methods in Intercultural Communication. A Practical Guide
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Zhu Hua Research Methods in Intercultural Communication. A Practical Guide


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3241.1 руб.

Research Methods in Intercultural Communication introduces and contextualizes the most important methodological issues in the field for upper-level undergraduate and graduate students. Examples of these issues are which paradigms and how to research multilingually, interculturally and ethnically. Provides the first dedicated and most comprehensive volume on research methods in intercultural communication research in the last 30 years Explains new and emerging methods, as well as more established ones. These include: Matched Guise Technique, Discourse Completion Task, Critical Incident Technique, Critical Discourse Analysis, Ethnography, Virtual Ethnography, Corpus Analysis, Multimodality, Conversation Analysis, Narrative Analysis, Questionnaire and Interview. Assists readers in determining the most suitable method for various research questions, conceptualizing the research process, interpreting results, and drawing conclusions Supports students from start to finish with key terms, suggestions for further reading, research summaries, and sound guidance from experienced scholars and researchers

Matthews Tracey D. Designing and Conducting Research in Health and Human Performance Matthews Tracey D. Designing and Conducting Research in Health and Human Performance
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Matthews Tracey D. Designing and Conducting Research in Health and Human Performance


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5924.77 руб.

Designing and Conducting Research in Health and Human Performance shows students how to become effective producers and consumers of health and human performance research. The book provides comprehensive coverage of both quantitative and qualitative research methods and includes step-by-step guidance for writing effective research proposals and theses. In addition, the authors show how to read, assess, interpret, and apply published research and how to conduct basic studies in health, physical education, exercise science, athletic training, and recreation. Designing and Conducting Research in Health and Human Performance is filled with illustrative examples that emphasize the real-world applications of research methods. Throughout, the authors draw on a variety of examples that were selected because they provide a context to further the understanding of health and human performance research. Research to Practice examples and Tips are included by the authors to help students better appreciate the book's content. These study aids provide suggestions and additional resources to assist students in understanding the research process. Key Terms, defined and highlighted, enrich each chapter. Chapter Review Questions, designed to help students comprehend and follow best practices in research methods, close each chapter. Online resources and guides developed by the authors to support and enhance students' learning of important research concepts are available.

David Wang Architectural Research Methods David Wang Architectural Research Methods
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David Wang Architectural Research Methods


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5408.22 руб.

A practical guide to research for architects and designers—now updated and expanded! From searching for the best glass to prevent glare to determining how clients might react to the color choice for restaurant walls, research is a crucial tool that architects must master in order to effectively address the technical, aesthetic, and behavioral issues that arise in their work. This book's unique coverage of research methods is specifically targeted to help professional designers and researchers better conduct and understand research. Part I explores basic research issues and concepts, and includes chapters on relating theory to method and design to research. Part II gives a comprehensive treatment of specific strategies for investigating built forms. In all, the book covers seven types of research, including historical, qualitative, correlational, experimental, simulation, logical argumentation, and case studies and mixed methods. Features new to this edition include: Strategies for investigation, practical examples, and resources for additional information A look at current trends and innovations in research Coverage of design studio–based research that shows how strategies described in the book can be employed in real life A discussion of digital media and online research New and updated examples of research studies A new chapter on the relationship between design and research Architectural Research Methods is an essential reference for architecture students and researchers as well as architects, interior designers, landscape architects, and building product manufacturers.

Alan Agresti Categorical Data Analysis Alan Agresti Categorical Data Analysis
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Alan Agresti Categorical Data Analysis


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11108.95 руб.

Praise for the Second Edition «A must-have book for anyone expecting to do research and/or applications in categorical data analysis.» —Statistics in Medicine «It is a total delight reading this book.» —Pharmaceutical Research «If you do any analysis of categorical data, this is an essential desktop reference.» —Technometrics The use of statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments, this book offers a comprehensive treatment of the most important methods for categorical data analysis. Categorical Data Analysis, Third Edition summarizes the latest methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial loglinear models for discrete data with normal regression for continuous data. This edition also features: An emphasis on logistic and probit regression methods for binary, ordinal, and nominal responses for independent observations and for clustered data with marginal models and random effects models Two new chapters on alternative methods for binary response data, including smoothing and regularization methods, classification methods such as linear discriminant analysis and classification trees, and cluster analysis New sections introducing the Bayesian approach for methods in that chapter More than 100 analyses of data sets and over 600 exercises Notes at the end of each chapter that provide references to recent research and topics not covered in the text, linked to a bibliography of more than 1,200 sources A supplementary website showing how to use R and SAS; for all examples in the text, with information also about SPSS and Stata and with exercise solutions Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and methodologists, such as biostatisticians and researchers in the social and behavioral sciences, medicine and public health, marketing, education, finance, biological and agricultural sciences, and industrial quality control.

Peter Jeschke Modern Methods in Crop Protection Research Peter Jeschke Modern Methods in Crop Protection Research
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Peter Jeschke Modern Methods in Crop Protection Research


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14565.11 руб.

This handbook and ready reference highlights a couple of basic aspects of recently developed new methods in modern crop protection research, authored by renowned experts from major agrochemical companies. Organized into four major parts that trace the key phases of the compound development process, the first section addresses compound design, while the second covers newly developed methods for the identification of the mode of action of agrochemical compounds. The third part describes methods used in improving the bioavailability of compounds, and the final section looks at modern methods for risk assessment. As a result, the agrochemical developer will find here a valuable toolbox of advanced methods, complete with first-hand practical advice and copious examples from current industrial practice.

Alan Agresti Foundations of Linear and Generalized Linear Models Alan Agresti Foundations of Linear and Generalized Linear Models
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Alan Agresti Foundations of Linear and Generalized Linear Models


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9012.56 руб.

A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book presents a broad, in-depth overview of the most commonly usedstatistical models by discussing the theory underlying the models, R software applications,and examples with crafted models to elucidate key ideas and promote practical modelbuilding. The book begins by illustrating the fundamentals of linear models, such as how the model-fitting projects the data onto a model vector subspace and how orthogonal decompositions of the data yield information about the effects of explanatory variables. Subsequently, the book covers the most popular generalized linear models, which include binomial and multinomial logistic regression for categorical data, and Poisson and negative binomial loglinear models for count data. Focusing on the theoretical underpinnings of these models, Foundations ofLinear and Generalized Linear Models also features: An introduction to quasi-likelihood methods that require weaker distributional assumptions, such as generalized estimating equation methods An overview of linear mixed models and generalized linear mixed models with random effects for clustered correlated data, Bayesian modeling, and extensions to handle problematic cases such as high dimensional problems Numerous examples that use R software for all text data analyses More than 400 exercises for readers to practice and extend the theory, methods, and data analysis A supplementary website with datasets for the examples and exercises An invaluable textbook for upper-undergraduate and graduate-level students in statistics and biostatistics courses, Foundations of Linear and Generalized Linear Models is also an excellent reference for practicing statisticians and biostatisticians, as well as anyone who is interested in learning about the most important statistical models for analyzing data.

John Strang Addiction Research Methods John Strang Addiction Research Methods
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John Strang Addiction Research Methods


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7353.7 руб.

Addiction Research Methods’ is a comprehensive handbook for health professionals, policy-makers and researchers working and training in the field of addiction. The book provides a clear, comprehensive and practical guide to research design, methods and analysis within the context of the field of alcohol and other drugs. The reader is introduced to fundamental principles and key issues; and is orientated to available sources of information and key literature. Written by a team of internationally acclaimed contributors, the book is divided into six major sections: Introduction; Research Design; Basic Toolbox; Biological Models; Specialist Methods; and Analytical Methods. Each chapter offers an introduction to the background and development of the discipline in question, its key features and applications, how it compares to other methods/analyses and its advantages and limitations. FEATURES List of useful websites and assistive technology. Case study examples List of useful hermeneutics Recommended reading list Contains exercises to help the reader to develop their skills.

Janet Ruane M. Introducing Social Research Methods. Essentials for Getting the Edge Janet Ruane M. Introducing Social Research Methods. Essentials for Getting the Edge
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Janet Ruane M. Introducing Social Research Methods. Essentials for Getting the Edge


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5910.32 руб.

Introducing Social Research Methods: Essentials for Getting the Edge is a concise and student-friendly introduction to research methods that uses examples from around the world to illustrate the centrality of social science research in our everyday lives. Explains complex, multi-faceted concepts and methodologies in straightforward prose Designed for students who are new to or skeptical of social science research methods as useful tools for approaching real-world challenges Persuasively argues that social scientific proficiency unlocks an array of personal and professional opportunities beyond the realms of academia A supplementary website features a glossary, test bank, Power Point presentations, a comprehensive list of web resources, a guide to relevant TED lectures and much more

Igor Ushakov A. Probabilistic Reliability Models Igor Ushakov A. Probabilistic Reliability Models
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Igor Ushakov A. Probabilistic Reliability Models


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7702.21 руб.

Practical Approaches to Reliability Theory in Cutting-Edge Applications Probabilistic Reliability Models helps readers understand and properly use statistical methods and optimal resource allocation to solve engineering problems. The author supplies engineers with a deeper understanding of mathematical models while also equipping mathematically oriented readers with a fundamental knowledge of the engineeringrelated applications at the center of model building. The book showcases the use of probability theory and mathematical statistics to solve common, real-world reliability problems. Following an introduction to the topic, subsequent chapters explore key systems and models including: • Unrecoverable objects and recoverable systems • Methods of direct enumeration • Markov models and heuristic models • Performance effectiveness • Time redundancy • System survivability • Aging units and their related systems • Multistate systems Detailed case studies illustrate the relevance of the discussed methods to real-world technical projects including software failure avalanches, gas pipelines with underground storage, and intercontinental ballistic missile (ICBM) control systems. Numerical examples and detailed explanations accompany each topic, and exercises throughout allow readers to test their comprehension of the presented material. Probabilistic Reliability Models is an excellent book for statistics, engineering, and operations research courses on applied probability at the upper-undergraduate and graduate levels. The book is also a valuable reference for professionals and researchers working in industry who would like a mathematical review of reliability models and the relevant applications.

Luc Bauwens Handbook of Volatility Models and Their Applications Luc Bauwens Handbook of Volatility Models and Their Applications
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Luc Bauwens Handbook of Volatility Models and Their Applications


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12329.59 руб.

A complete guide to the theory and practice of volatility models in financial engineering Volatility has become a hot topic in this era of instant communications, spawning a great deal of research in empirical finance and time series econometrics. Providing an overview of the most recent advances, Handbook of Volatility Models and Their Applications explores key concepts and topics essential for modeling the volatility of financial time series, both univariate and multivariate, parametric and non-parametric, high-frequency and low-frequency. Featuring contributions from international experts in the field, the book features numerous examples and applications from real-world projects and cutting-edge research, showing step by step how to use various methods accurately and efficiently when assessing volatility rates. Following a comprehensive introduction to the topic, readers are provided with three distinct sections that unify the statistical and practical aspects of volatility: Autoregressive Conditional Heteroskedasticity and Stochastic Volatility presents ARCH and stochastic volatility models, with a focus on recent research topics including mean, volatility, and skewness spillovers in equity markets Other Models and Methods presents alternative approaches, such as multiplicative error models, nonparametric and semi-parametric models, and copula-based models of (co)volatilities Realized Volatility explores issues of the measurement of volatility by realized variances and covariances, guiding readers on how to successfully model and forecast these measures Handbook of Volatility Models and Their Applications is an essential reference for academics and practitioners in finance, business, and econometrics who work with volatility models in their everyday work. The book also serves as a supplement for courses on risk management and volatility at the upper-undergraduate and graduate levels.

Harper David Qualitative Research Methods in Mental Health and Psychotherapy. A Guide for Students and Practitioners Harper David Qualitative Research Methods in Mental Health and Psychotherapy. A Guide for Students and Practitioners
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Harper David Qualitative Research Methods in Mental Health and Psychotherapy. A Guide for Students and Practitioners


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8587.22 руб.

This book provides a user-friendly introduction to the qualitative methods most commonly used in the mental health and psychotherapy arena. Chapters are written by leading researchers and the editors are experienced qualitative researchers, clinical trainers, and mental health practitioners Provides chapter-by-chapter guidance on conducting a qualitative study from across a range of approaches Offers guidance on how to review and appraise existing qualitative literature, how to choose the most appropriate method, and how to consider ethical issues Demonstrates how specific methods have been applied to questions in mental health research Uses examples drawn from recent research, including research with service users, in mental health practice and in psychotherapy

Ishizaka Alessio Multi-criteria Decision Analysis. Methods and Software Ishizaka Alessio Multi-criteria Decision Analysis. Methods and Software
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Ishizaka Alessio Multi-criteria Decision Analysis. Methods and Software


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8739.04 руб.

This book presents an introduction to MCDA followed by more detailed chapters about each of the leading methods used in this field. Comparison of methods and software is also featured to enable readers to choose the most appropriate method needed in their research. Worked examples as well as the software featured in the book are available on an accompanying website.

P. Mouton R. Neurostereology. Unbiased Stereology of Neural Systems P. Mouton R. Neurostereology. Unbiased Stereology of Neural Systems
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P. Mouton R. Neurostereology. Unbiased Stereology of Neural Systems


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9946.31 руб.

Stereological methods provide researchers with unparalleled quantitative data from tissue samples and allow for well-evidenced research advances in a broad range of scientific fields. Presenting a concise introduction to the methodology and application of stereological research in neuroscience, Neurostereology provides a fuller understanding of the use of these methods in research and a means for replicating successful scientific approaches. Providing sound footing for future research, Neurostereology is a useful tool for basic and clinical researchers and advanced students looking to integrate these methods into their research.

Nikolaos Limnios Statistical Models and Methods for Reliability and Survival Analysis Nikolaos Limnios Statistical Models and Methods for Reliability and Survival Analysis
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Nikolaos Limnios Statistical Models and Methods for Reliability and Survival Analysis


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13482.92 руб.

Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as they discuss their applications providing up-to-date developments in methods used in survival analysis, statistical goodness of fit, stochastic processes for system reliability, amongst others. Many of these are related to the work of Professor M. Nikulin in statistics over the past 30 years. The authors gather together various contributions with a broad array of techniques and results, divided into three parts – Statistical Models and Methods, Statistical Models and Methods in Survival Analysis, and Reliability and Maintenance. The book is intended for researchers interested in statistical methodology and models useful in survival analysis, system reliability and statistical testing for censored and non-censored data.

P. Mouton R. Neurostereology. Unbiased Stereology of Neural Systems P. Mouton R. Neurostereology. Unbiased Stereology of Neural Systems
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P. Mouton R. Neurostereology. Unbiased Stereology of Neural Systems


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10216.53 руб.

Stereological methods provide researchers with unparalleled quantitative data from tissue samples and allow for well-evidenced research advances in a broad range of scientific fields. Presenting a concise introduction to the methodology and application of stereological research in neuroscience, Neurostereology provides a fuller understanding of the use of these methods in research and a means for replicating successful scientific approaches. Providing sound footing for future research, Neurostereology is a useful tool for basic and clinical researchers and advanced students looking to integrate these methods into their research.

Geoffrey Maruyama Research Methods in Social Relations Geoffrey Maruyama Research Methods in Social Relations
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Geoffrey Maruyama Research Methods in Social Relations


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9009.14 руб.

Research Methods in Social Relations, 8th Edition, features a series of updates and revisions in its comprehensive introduction to current research methods in the social and behavioural sciences. Offers comprehensive coverage of a wide variety of traditional and topical research methods Addresses many newer research approaches such as propensity score matching, mixed methods designs, and confirmatory factor analysis Written to be accessible to a range of social and behavioural science disciplines, including public health, political science, sociology, and psychology Includes new chapters that engage readers in critical thinking about the processes involved in building sustainable partnerships in field and community settings The Companion website includes an array of resources for Instructors, including Test Banks, Power Point lecture slides, discussion questions and exercises This new edition is the much-anticipated follow-up to 2001’s seventh edition by Hoyle, Harris and Judd

Machin David Regression Methods for Medical Research Machin David Regression Methods for Medical Research
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Machin David Regression Methods for Medical Research


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5772.95 руб.

Regression Methods for Medical Research provides medical researchers with the skills they need to critically read and interpret research using more advanced statistical methods. The statistical requirements of interpreting and publishing in medical journals, together with rapid changes in science and technology, increasingly demands an understanding of more complex and sophisticated analytic procedures. The text explains the application of statistical models to a wide variety of practical medical investigative studies and clinical trials. Regression methods are used to appropriately answer the key design questions posed and in so doing take due account of any effects of potentially influencing co-variables. It begins with a revision of basic statistical concepts, followed by a gentle introduction to the principles of statistical modelling. The various methods of modelling are covered in a non-technical manner so that the principles can be more easily applied in everyday practice. A chapter contrasting regression modelling with a regression tree approach is included. The emphasis is on the understanding and the application of concepts and methods. Data drawn from published studies are used to exemplify statistical concepts throughout. Regression Methods for Medical Research is especially designed for clinicians, public health and environmental health professionals, para-medical research professionals, scientists, laboratory-based researchers and students.

Ricardo Maronna A. Robust Statistics. Theory and Methods (with R) Ricardo Maronna A. Robust Statistics. Theory and Methods (with R)
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Ricardo Maronna A. Robust Statistics. Theory and Methods (with R)


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9775.88 руб.

A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using the increasingly popular open-source software R. Classical statistics fail to cope well with outliers associated with deviations from standard distributions. Robust statistical methods take into account these deviations when estimating the parameters of parametric models, thus increasing the reliability of fitted models and associated inference. This new, second edition of Robust Statistics: Theory and Methods (with R) presents a broad coverage of the theory of robust statistics that is integrated with computing methods and applications. Updated to include important new research results of the last decade and focus on the use of the popular software package R, it features in-depth coverage of the key methodology, including regression, multivariate analysis, and time series modeling. The book is illustrated throughout by a range of examples and applications that are supported by a companion website featuring data sets and R code that allow the reader to reproduce the examples given in the book. Unlike other books on the market, Robust Statistics: Theory and Methods (with R) offers the most comprehensive, definitive, and up-to-date treatment of the subject. It features chapters on estimating location and scale; measuring robustness; linear regression with fixed and with random predictors; multivariate analysis; generalized linear models; time series; numerical algorithms; and asymptotic theory of M-estimates. Explains both the use and theoretical justification of robust methods Guides readers in selecting and using the most appropriate robust methods for their problems Features computational algorithms for the core methods Robust statistics research results of the last decade included in this 2nd edition include: fast deterministic robust regression, finite-sample robustness, robust regularized regression, robust location and scatter estimation with missing data, robust estimation with independent outliers in variables, and robust mixed linear models. Robust Statistics aims to stimulate the use of robust methods as a powerful tool to increase the reliability and accuracy of statistical modelling and data analysis. It is an ideal resource for researchers, practitioners, and graduate students in statistics, engineering, computer science, and physical and social sciences.

Irini Moustaki Latent Variable Models and Factor Analysis. A Unified Approach Irini Moustaki Latent Variable Models and Factor Analysis. A Unified Approach
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Irini Moustaki Latent Variable Models and Factor Analysis. A Unified Approach


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6705.89 руб.

Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for investigating dependency. This book: Provides a unified approach showing how such apparently diverse methods as Latent Class Analysis and Factor Analysis are actually members of the same family. Presents new material on ordered manifest variables, MCMC methods, non-linear models as well as a new chapter on related techniques for investigating dependency. Includes new sections on structural equation models (SEM) and Markov Chain Monte Carlo methods for parameter estimation, along with new illustrative examples. Looks at recent developments on goodness-of-fit test statistics and on non-linear models and models with mixed latent variables, both categorical and continuous. No prior acquaintance with latent variable modelling is pre-supposed but a broad understanding of statistical theory will make it easier to see the approach in its proper perspective. Applied statisticians, psychometricians, medical statisticians, biostatisticians, economists and social science researchers will benefit from this book.

Daniel Pope Quantitative Methods for Health Research. A Practical Interactive Guide to Epidemiology and Statistics Daniel Pope Quantitative Methods for Health Research. A Practical Interactive Guide to Epidemiology and Statistics
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Daniel Pope Quantitative Methods for Health Research. A Practical Interactive Guide to Epidemiology and Statistics


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5187.95 руб.

A practical introduction to epidemiology, biostatistics, and research methodology for the whole health care community This comprehensive text, which has been extensively revised with new material and additional topics, utilizes a practical slant to introduce health professionals and students to epidemiology, biostatistics, and research methodology. It draws examples from a wide range of topics, covering all of the main contemporary health research methods, including survival analysis, Cox regression, and systematic reviews and meta-analysis—the explanation of which go beyond introductory concepts. This second edition of Quantitative Methods for Health Research: A Practical Interactive Guide to Epidemiology and Statistics also helps develop critical skills that will prepare students to move on to more advanced and specialized methods. A clear distinction is made between knowledge and concepts that all students should ensure they understand, and those that can be pursued further by those who wish to do so. Self-assessment exercises throughout the text help students explore and reflect on their understanding. A program of practical exercises in SPSS (using a prepared data set) helps to consolidate the theory and develop skills and confidence in data handling, analysis, and interpretation. Highlights of the book include: Combining epidemiology and bio-statistics to demonstrate the relevance and strength of statistical methods Emphasis on the interpretation of statistics using examples from a variety of public health and health care situations to stress relevance and application Use of concepts related to examples of published research to show the application of methods and balance between ideals and the realities of research in practice Integration of practical data analysis exercises to develop skills and confidence Supplementation by a student companion website which provides guidance on data handling in SPSS and study data sets as referred to in the text Quantitative Methods for Health Research, Second Edition is a practical learning resource for students, practitioners and researchers in public health, health care and related disciplines, providing both a course book and a useful introductory reference.

Graham Bodie D. The Sourcebook of Listening Research. Methodology and Measures Graham Bodie D. The Sourcebook of Listening Research. Methodology and Measures
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Graham Bodie D. The Sourcebook of Listening Research. Methodology and Measures


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11175.57 руб.

Essential reading for listening researchers across a range of disciplines, The Sourcebook of Listening Research: Methodology and Measures is a landmark publication that defines the field of listening research and its best practices. the definitive guide to listening methodology and measurement with contributions from leading listening scholars and researchers Evaluates current listening methods and measures, with attention to scale development, qualitative methods, operationalizing cognitive processes, and measuring affective and behavioral components A variety of theoretical models for assessing the cognitive, affective, and behavioral facets of listening are presented alongside 65 measurement profiles Outlines cutting-edge trends in listening research, as well as the complexities involved in performing successful research in this area

Nigel Lewis DaCosta Operational Risk with Excel and VBA. Applied Statistical Methods for Risk Management, + Website Nigel Lewis DaCosta Operational Risk with Excel and VBA. Applied Statistical Methods for Risk Management, + Website
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Nigel Lewis DaCosta Operational Risk with Excel and VBA. Applied Statistical Methods for Risk Management, + Website


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6998.64 руб.

A valuable reference for understanding operational risk Operational Risk with Excel and VBA is a practical guide that only discusses statistical methods that have been shown to work in an operational risk management context. It brings together a wide variety of statistical methods and models that have proven their worth, and contains a concise treatment of the topic. This book provides readers with clear explanations, relevant information, and comprehensive examples of statistical methods for operational risk management in the real world. Nigel Da Costa Lewis (Stamford, CT) is president and CEO of StatMetrics, a quantitative research boutique. He received his PhD from Cambridge University.


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A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using the increasingly popular open-source software R. Classical statistics fail to cope well with outliers associated with deviations from standard distributions. Robust statistical methods take into account these deviations when estimating the parameters of parametric models, thus increasing the reliability of fitted models and associated inference. This new, second edition of Robust Statistics: Theory and Methods (with R) presents a broad coverage of the theory of robust statistics that is integrated with computing methods and applications. Updated to include important new research results of the last decade and focus on the use of the popular software package R, it features in-depth coverage of the key methodology, including regression, multivariate analysis, and time series modeling. The book is illustrated throughout by a range of examples and applications that are supported by a companion website featuring data sets and R code that allow the reader to reproduce the examples given in the book. Unlike other books on the market, Robust Statistics: Theory and Methods (with R) offers the most comprehensive, definitive, and up-to-date treatment of the subject. It features chapters on estimating location and scale; measuring robustness; linear regression with fixed and with random predictors; multivariate analysis; generalized linear models; time series; numerical algorithms; and asymptotic theory of M-estimates. Explains both the use and theoretical justification of robust methods Guides readers in selecting and using the most appropriate robust methods for their problems Features computational algorithms for the core methods Robust statistics research results of the last decade included in this 2nd edition include: fast deterministic robust regression, finite-sample robustness, robust regularized regression, robust location and scatter estimation with missing data, robust estimation with independent outliers in variables, and robust mixed linear models. Robust Statistics aims to stimulate the use of robust methods as a powerful tool to increase the reliability and accuracy of statistical modelling and data analysis. It is an ideal resource for researchers, practitioners, and graduate students in statistics, engineering, computer science, and physical and social sciences.
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