Multivariate Analysis, Backhaus, Klaus Erichson, Bernd Gensler, Sonja Weiber, Rolf Weiber, Thomas

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 184750.00 T
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Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.

Автор: Arthur, Jr.
Название: Conducting Meta-Analysis Using SAS
ISBN: 0805838090 ISBN-13(EAN): 9780805838091
Издательство: Taylor&Francis
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Цена: 40820.00 T
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Описание: Designed to teach the reader about meta-analysis and show them how to conduct one using SAS. Its focus is more applied and practical than theoretical and will include additional programming codes and examples. Web site to house program code and sample ou

Автор: Kimmo Vehkalahti , Brian S. Everitt
Название: Multivariate Analysis for the Behavioral Sciences, Second Edition
ISBN: 0815385153 ISBN-13(EAN): 9780815385158
Издательство: Taylor&Francis
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Цена: 86760.00 T
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Описание: Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists.

Автор: Kawaguchi, Atsushi
Название: Multivariate Analysis for Neuroimaging Data
ISBN: 0367255324 ISBN-13(EAN): 9780367255329
Издательство: Taylor&Francis
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Цена: 158230.00 T
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Описание: This book enables us to analyze statistically brain imaging data. It is meant for a wide range of researchers interested in biostatistics, data science, and neuroscience. It is useful to understand the background theory of standard software for neuroimaging data analysis.

Автор: Jones, Richard N.
Название: Longitudinal Data Analysis
ISBN: 0415874157 ISBN-13(EAN): 9780415874151
Издательство: Taylor&Francis
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Цена: 57150.00 T
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Автор: Bartholomew, David J.
Название: Analysis of Multivariate Social Science Data
ISBN: 1584889608 ISBN-13(EAN): 9781584889601
Издательство: Taylor&Francis
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Цена: 58170.00 T
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Автор: Spencer, Neil H.
Название: Essentials of Multivariate Data Analysis
ISBN: 1466584785 ISBN-13(EAN): 9781466584785
Издательство: Taylor&Francis
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Цена: 58170.00 T
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Автор: Newsom
Название: Longitudinal Data Analysis
ISBN: 0415874149 ISBN-13(EAN): 9780415874144
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Описание:

This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis.

Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes.

The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis.

An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.

Автор: Dugard
Название: Approaching Multivariate Analysis, 2nd Edition
ISBN: 0415645913 ISBN-13(EAN): 9780415645911
Издательство: Taylor&Francis
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Цена: 57150.00 T
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Описание: This book gets students started, and prepares them to approach more comprehensive treatments with confidence. It`s an ideal text for psychology students, medical students and for any students or academics in disciplines that use multivariate methods.

Автор: Nussbaum E Michael
Название: Categorical and Nonparametric Data Analysis
ISBN: 1138787825 ISBN-13(EAN): 9781138787827
Издательство: Taylor&Francis
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Цена: 81650.00 T
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Описание: Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, the book's clear explanations of the underlying assumptions, computer simulations, and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of the techniques. The underlying assumptions of each test and the factors that impact validity and statistical power are reviewed so readers can explain their assumptions and how tests work in future publications. Numerous examples from psychology, education, and other social sciences demonstrate varied applications of the material. Basic statistics and probability are reviewed for those who need a refresher. Mathematical derivations are placed in optional appendices for those interested in this detailed coverage. Highlights include the following: Unique coverage of categorical and nonparametric statistics better prepares readers to select the best technique for their particular research project; however, some chapters can be omitted entirely if preferred. Step-by-step examples of each test help readers see how the material is applied in a variety of disciplines.  Although the book can be used with any program, examples of how to use the tests in SPSS and Excel foster conceptual understanding. Exploring the Concept boxes integrated throughout prompt students to review key material and draw links between the concepts to deepen understanding.  Problems in each chapter help readers test their understanding of the material.  Emphasis on selecting tests that maximize power helps readers avoid "marginally" significant results.  Website (www.routledge.com/9781138787827) features datasets for the book's examples and problems, and for the instructor, PowerPoint slides, sample syllabi, answers to the even-numbered problems, and Excel data sets for lecture purposes. Intended for individual or combined graduate or advanced undergraduate courses in categorical and nonparametric data analysis, cross-classified data analysis, advanced statistics and/or quantitative techniques taught in psychology, education, human development, sociology, political science, and other social and life sciences, the book also appeals to researchers in these disciplines. The nonparametric chapters can be deleted if preferred. Prerequisites include knowledge of t tests and ANOVA.

Автор: David Olive
Название: Robust Multivariate Analysis
ISBN: 3319682512 ISBN-13(EAN): 9783319682518
Издательство: Springer
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Цена: 69870.00 T
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Описание: This text presents methods that are robust to the assumption of a multivariate normal distribution or methods that are robust to certain types of outliers. The robust techniques are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor analysis.

Автор: Thioulouse, Jean Dray, Stephane Dufour, Anne-beatrice Siberchicot, Aurelie Jombart, Thibaut Pavoine, Sandrine
Название: Multivariate analysis of ecological data with ade4
ISBN: 1493988484 ISBN-13(EAN): 9781493988488
Издательство: Springer
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Цена: 60550.00 T
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Описание: This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis. The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems. These two goals may seem contradictory, as they concern two separate groups of scientists, namely statisticians and ecologists. However, statistical ecology has become a scientific discipline of its own, and the good use of multivariate data analysis methods by ecologists implies a fair knowledge of the mathematical properties of these methods.The organization of the book is based on ecological questions, but these questions correspond to particular classes of data analysis methods. The first chapters present both usual and multiway data analysis methods. Further chapters are dedicated for example to the analysis of spatial data, of phylogenetic structures, and of biodiversity patterns. One chapter deals with multivariate data analysis graphs.In each chapter, the basic mathematical definitions of the methods and the outputs of the R functions available in ade4 are detailed in two different boxes. The text of the book itself can be read independently from these boxes. Thus the book offers the opportunity to find information about the ecological situation from which a question raises alongside the mathematical properties of methods that can be applied to answer this question, as well as the details of software outputs. Each example and all the graphs in this book come with executable R code.