Essentials of Multivariate Data Analysis, Spencer, Neil H.

Автор: Koch
Название: Analysis of Multivariate and High-Dimensional Data
ISBN: 0521887933 ISBN-13(EAN): 9780521887939
Издательство: Cambridge Academ
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Описание: `Big data` poses challenges that require both classical multivariate methods and modern machine-learning techniques. This coherent treatment integrates theory with data analysis, visualisation and interpretation of the analysis. Problems, data sets and MATLAB (R) code complete the package. It is suitable for master`s/graduate students in statistics and working scientists in data-rich disciplines.

Автор: Newsom
Название: Longitudinal Data Analysis
ISBN: 0415874149 ISBN-13(EAN): 9780415874144
Издательство: Taylor&Francis
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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: Zadora Grzegorz
Название: Statistical Analysis in Forensic Science
ISBN: 0470972106 ISBN-13(EAN): 9780470972106
Издательство: Wiley
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Цена: 12189.00 р.
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Описание: This book provides the methods and software to enable statisticians and forensic experts to work effectively with evidence evaluation methods. It also covers a collection of recent likelihood ratio (LR) approaches, explores suitable software toolboxes, and includes documentation and examples about how to use them in practice.

Автор: Hougaard Philip
Название: Analysis of Multivariate Survival Data
ISBN: 1461270871 ISBN-13(EAN): 9781461270874
Издательство: Springer
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Цена: 7406.00 р.
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Описание: Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. As the field is rather new, the concepts and the possible types of data are described in detail.

Автор: Kedem Benjamin Et Al
Название: Statistical Data Fusion
ISBN: 9813200189 ISBN-13(EAN): 9789813200180
Издательство: World Scientific Publishing
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Цена: 12830.00 р.
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Описание: 'The book provides a comprehensive review of the DRM approach to data fusion. It is well written and easy to follow, although the technical details are not trivial. The authors did an excellent job in making a concise introduction of the statistical techniques in data fusion. The book contains several real data ... Overall, I found that the book covers an important topic and the DRM is a promising tool in this area. Researchers on data fusion will surely find this book very helpful and I will use this book in studying with my PhD students.'Journal of the American Statistical AssociationThis book comes up with estimates or decisions based on multiple data sources as opposed to more narrowly defined estimates or decisions based on single data sources. And as the world is awash with data obtained from numerous and varied processes, there is a need for appropriate statistical methods which in general produce improved inference by multiple data sources.The book contains numerous examples useful to practitioners from genomics. Topics range from sensors (radars), to small area estimation of body mass, to the estimation of small tail probabilities, to predictive distributions in time series analysis.

Автор: Fionn Murtagh; Andre Heck
Название: Multivariate Data Analysis
ISBN: 9027724261 ISBN-13(EAN): 9789027724267
Издательство: Springer
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Цена: 23053.00 р.
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Описание: Interest in statistical methodology is increasing so rapidly in the astronomical community that accessible introductory material in this area is long overdue.

Автор: H. Bozdogan; Arjun K. Gupta
Название: Multivariate Statistical Modeling and Data Analysis
ISBN: 9027725926 ISBN-13(EAN): 9789027725929
Издательство: Springer
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Цена: 20537.00 р.
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Описание: The areas covered included topics in the analysis of repeated measurements, cluster analysis, discriminant analysis, canonical cor- relations, distribution theory and testing, bivariate densi ty estimation, factor analysis, principle component analysis, multidimensional scaling, multivariate linear models, nonparametric regression, etc.

Автор: H. Bozdogan; Arjun K. Gupta
Название: Multivariate Statistical Modeling and Data Analysis
ISBN: 9401082642 ISBN-13(EAN): 9789401082648
Издательство: Springer
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Цена: 20537.00 р.
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Описание: The areas covered included topics in the analysis of repeated measurements, cluster analysis, discriminant analysis, canonical cor- relations, distribution theory and testing, bivariate densi ty estimation, factor analysis, principle component analysis, multidimensional scaling, multivariate linear models, nonparametric regression, etc.

Автор: J.D. Jobson
Название: Applied Multivariate Data Analysis
ISBN: 1461269601 ISBN-13(EAN): 9781461269601
Издательство: Springer
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Цена: 6986.00 р.
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Описание: An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory.

Автор: J.D. Jobson
Название: Applied Multivariate Data Analysis
ISBN: 1461269474 ISBN-13(EAN): 9781461269472
Издательство: Springer
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Цена: 13974.00 р.
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Описание: A Second Course in Statistics The past decade has seen a tremendous increase in the use of statistical data analysis and in the availability of both computers and statistical software.

Автор: Brian S. Everitt, Graham Dunn
Название: Applied Multivariate Data Analysis
ISBN: 0470711175 ISBN-13(EAN): 9780470711170
Издательство: Wiley
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Цена: 7278.00 р.
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Описание: Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. Breaking through the apparent disorder of the information, it provides the means for both describing and exploring data, aiming to extract the underlying patterns and structure.

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: 9083.00 р.
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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.