Multivariate Statistics:, H?rdle

Автор: Wolfgang Karl H?rdle; Zden?k Hl?vka
Название: Multivariate Statistics
ISBN: 3642360041 ISBN-13(EAN): 9783642360046
Издательство: Springer
Цена: 55890 T
Описание: This book presents the tools and concepts of multivariate data analysis. It demonstrates the application of simple calculus and basic multivariate methods in real life situations, and features more than 200 solved exercises.

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
Рейтинг:
Цена: 184750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: Ruey S. Tsay
Название: Multivariate Time Series Analysis: With R and Financial Applications
ISBN: 1118617908 ISBN-13(EAN): 9781118617908
Издательство: Wiley
Рейтинг:
Цена: 125610.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series.

Автор: Koch
Название: Analysis of Multivariate and High-Dimensional Data
ISBN: 0521887933 ISBN-13(EAN): 9780521887939
Издательство: Cambridge Academ
Рейтинг:
Цена: 70750.00 T
Наличие на складе: Поставка под заказ.
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: Bai Zhidong Et Al
Название: Random Matrix Theory And Its Applications: Multivariate Statistics And Wireless Communications
ISBN: 9814273112 ISBN-13(EAN): 9789814273114
Издательство: World Scientific Publishing
Рейтинг:
Цена: 80250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Random matrix theory has a long history, beginning in the first instance in multivariate statistics. It was used by Wigner to supply explanations for the important regularity features of the apparently random dispositions of the energy levels of heavy nuclei. This title contains chapters which serve as an introduction into this area of research.

Автор: Whittaker, Joe
Название: Graphical models in applied multivariate statistics
ISBN: 0470743662 ISBN-13(EAN): 9780470743669
Издательство: Wiley
Рейтинг:
Цена: 70700.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: - It reveals the interrelationships between multiple variables and features of the underlying conditional independence. - It covers conditional independence, several types of independence graphs, Gaussian models, issues in model selection, regression and decomposition. - Many numerical examples and exercises with solutions are included.

Автор: Manly Bryan F.J.
Название: Multivariate Statistical Methods
ISBN: 1498728960 ISBN-13(EAN): 9781498728966
Издательство: Taylor&Francis
Рейтинг:
Цена: 58170.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used.

The original idea with this book still applies. This was to make it as short as possible and enable readers to begin using multivariate methods in an intelligent manner. With updated information on multivariate analyses, new references, and R code included, this book continues to provide a timely introduction to useful tools for multivariate statistical analysis.