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Applied multivariate statistical analysis, Hardle, Wolfgang Karl Simar, Leopold Fengler, Matthias R.


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Автор: Hardle, Wolfgang Karl Simar, Leopold Fengler, Matthias R.
Название:  Applied multivariate statistical analysis
ISBN: 9783031638329
Издательство: Springer
Издательство: Springer international publishing ag
Классификация:


ISBN-10: 3031638328
Обложка/Формат: Paperback
Страницы: 613
Вес: 0.95 кг.
Дата издания: 29.09.2024
Издание: Sixth edition 2024
Иллюстрации: 141 illustrations, color; 62 illustrations, black and white; xv, 613 p. 203 illus., 141 illus. in color.
Размер: 155 x 234 x 39
Ссылка на Издательство: Link
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Поставляется из: Англии


      Старое издание
Applied Multivariate Statistical Analysis

Автор: Hardle Wolfgang Karl, Simar Leopold
Название: Applied Multivariate Statistical Analysis
ISBN: 3030260054 ISBN-13(EAN): 9783030260057
Издательство: Springer
Цена: 11878.00 р.
Наличие на складе: Нет в наличии.
Описание:

This textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields, and all the examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis.

For this new edition, the book has been updated and extensively revised and now includes an extended chapter on cluster analysis. All solutions to the exercises are supplemented by R and MATLAB or SAS computer code and can be downloaded from the Quantlet platform. Practical exercises from this book and their solutions can also be found in the accompanying Springer book by W.K. Hдrdle and Z. Hlбvka: Multivariate Statistics - Exercises and Solutions.

The Quantlet platform, quantlet.de, quantlet.com, quantlet.org, is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding data-driven document-based visualization allow readers to reproduce the tables, pictures and calculations presented in this Springer book.



Innovations in Multivariate Statistical Analysis

Автор: Risto D.H. Heijmans; D.S.G. Pollock; Albert Satorr
Название: Innovations in Multivariate Statistical Analysis
ISBN: 0792386361 ISBN-13(EAN): 9780792386360
Издательство: Springer
Рейтинг:
Цена: 29209.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The three decades which have followed the publication of Heinz Neudecker`s seminal paper `Some Theorems on Matrix Differentiation with Special Reference to Kronecker Products` in the Journal of the American Statistical Association (1969) have witnessed the growing influence of matrix analysis in many scientific disciplines.

Innovations in Multivariate Statistical Analysis

Автор: Risto D.H. Heijmans; D.S.G. Pollock; Albert Satorr
Название: Innovations in Multivariate Statistical Analysis
ISBN: 1461370809 ISBN-13(EAN): 9781461370802
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The three decades which have followed the publication of Heinz Neudecker`s seminal paper `Some Theorems on Matrix Differentiation with Special Reference to Kronecker Products` in the Journal of the American Statistical Association (1969) have witnessed the growing influence of matrix analysis in many scientific disciplines.

Applied Multivariate Statistical Analysis

Автор: Hardle Wolfgang Karl, Simar Leopold
Название: Applied Multivariate Statistical Analysis
ISBN: 3030260054 ISBN-13(EAN): 9783030260057
Издательство: Springer
Рейтинг:
Цена: 11878.00 р.
Наличие на складе: Нет в наличии.

Описание:

This textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields, and all the examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis.

For this new edition, the book has been updated and extensively revised and now includes an extended chapter on cluster analysis. All solutions to the exercises are supplemented by R and MATLAB or SAS computer code and can be downloaded from the Quantlet platform. Practical exercises from this book and their solutions can also be found in the accompanying Springer book by W.K. Hдrdle and Z. Hlбvka: Multivariate Statistics - Exercises and Solutions.

The Quantlet platform, quantlet.de, quantlet.com, quantlet.org, is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding data-driven document-based visualization allow readers to reproduce the tables, pictures and calculations presented in this Springer book.

Multivariate Dependencies

Автор: Cox, D.R. , Wermuth, Nanny
Название: Multivariate Dependencies
ISBN: 0367401371 ISBN-13(EAN): 9780367401375
Издательство: Taylor&Francis
Рейтинг:
Цена: 9798.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields including the social and medical sciences. This book sets out both the general concepts and the more technical statistical issues involved in analysis and interpretation. Numerous illustrative examples are described in outline and four studies are discussed in some detail.

The use of graphical representations of dependencies and independencies among the features under study is stressed, both to incorporate available knowledge at the planning stage of an analysis and to summarize aspects important for interpretation after detailed statistical analysis is complete. This book is aimed at research workers using statistical methods as well as statisticians involved in empirical research.

The Statistical Analysis of Multivariate Failure Time Data

Автор: Prentice, Ross L.
Название: The Statistical Analysis of Multivariate Failure Time Data
ISBN: 0367729555 ISBN-13(EAN): 9780367729554
Издательство: Taylor&Francis
Рейтинг:
Цена: 7501.00 р.
Наличие на складе: Нет в наличии.

Analysis of Multivariate and High-Dimensional Data

Автор: Koch
Название: Analysis of Multivariate and High-Dimensional Data
ISBN: 0521887933 ISBN-13(EAN): 9780521887939
Издательство: Cambridge Academ
Рейтинг:
Цена: 10613.00 р.
Наличие на складе: Нет в наличии.

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.

Statistical Analysis in Forensic Science

Автор: Zadora Grzegorz
Название: Statistical Analysis in Forensic Science
ISBN: 0470972106 ISBN-13(EAN): 9780470972106
Издательство: Wiley
Рейтинг:
Цена: 12189.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Statistical Analysis of Questionnaires

Автор: Bartolucci
Название: Statistical Analysis of Questionnaires
ISBN: 1466568496 ISBN-13(EAN): 9781466568495
Издательство: Taylor&Francis
Рейтинг:
Цена: 13779.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata presents special statistical methods for analyzing data collected by questionnaires. The book takes an applied approach to testing and measurement tasks, mirroring the growing use of statistical methods and software in education, psychology, sociology, and other fields. It is suitable for graduate students in applied statistics and psychometrics and practitioners in education, health, and marketing.

The book covers the foundations of classical test theory (CTT), test reliability, validity, and scaling as well as item response theory (IRT) fundamentals and IRT for dichotomous and polytomous items. The authors explore the latest IRT extensions, such as IRT models with covariates, multidimensional IRT models, IRT models for hierarchical and longitudinal data, and latent class IRT models. They also describe estimation methods and diagnostics, including graphical diagnostic tools, parametric and nonparametric tests, and differential item functioning.

Stata and R software codes are included for each method. To enhance comprehension, the book employs real datasets in the examples and illustrates the software outputs in detail. The datasets are available on the authors' web page.

Practical Multivariate Analysis, Si

Автор: Afifi
Название: Practical Multivariate Analysis, Si
ISBN: 1138702226 ISBN-13(EAN): 9781138702226
Издательство: Taylor&Francis
Рейтинг:
Цена: 14086.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc.

Statistical Data Fusion

Автор: Kedem Benjamin Et Al
Название: Statistical Data Fusion
ISBN: 9813200189 ISBN-13(EAN): 9789813200180
Издательство: World Scientific Publishing
Рейтинг:
Цена: 12830.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Advances in multivariate statistical analysis

Название: Advances in multivariate statistical analysis
ISBN: 9048184398 ISBN-13(EAN): 9789048184392
Издательство: Springer
Рейтинг:
Цена: 35218.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The death of Professor K. C. Sreedharan Pillai on June 5, 1985 was a heavy loss to many statisticians all around the world. This volume is dedicated to his memory in recog- nition of his many contributions in multivariate statis- tical analysis. It brings together eminent statisticians Working in multivariate analysis from around the world. The research and expository papers cover a cross-section of recent developments in the field. This volume is especially useful to researchers and to those who want to keep abreast of the latest directions in multivariate statistical analysis. I am grateful to the authors from so many different countries and research institutions who contributed to this volume. I wish to express my appreciation to all those who have reviewed the papers. The list of people include Professors T. C. Chang, So-Hsiang Chou, Dipak K. Dey, Peter Hall, Yu-Sheng Hsu, J. D. Knoke, W. J. Krzanowski, Edsel Pena, Bimal K. Sinha, Dennis L. Young, Drs. K. Krishnamoorthy, D. K. Nagar, and Messrs. Alphonse Amey, Chi-Chin Chao and Samuel Ofori-Nyarko. I wish to thank Professors Shanti S. Gupta and James 0. Berger for their keen interest and encouragement. Thanks are also due to Cynthia Patterson for her help and Reidel Publishing Com any for their cooperation in bringing this volume out.

Multivariate Statistical Analysis

Автор: V.I. Serdobolskii
Название: Multivariate Statistical Analysis
ISBN: 0792366433 ISBN-13(EAN): 9780792366430
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents a branch of mathematical statistics which intends to construct unimprovable methods of multivariate analysis, multi-parametric estimation, and discriminant and regression analysis. This work is suitable for researchers and graduate students whose work involves statistics and probability, reliability and risk analysis, and econometrics.


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