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Applied Multivariate Data Analysis, Brian S. Everitt, Graham Dunn


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Цена: 48520.00T
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Склад Америка: 138 шт.  
При оформлении заказа до: 2025-08-04
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Brian S. Everitt, Graham Dunn
Название:  Applied Multivariate Data Analysis
ISBN: 9780470711170
Издательство: Wiley
Классификация:
ISBN-10: 0470711175
Обложка/Формат: Paperback
Страницы: 354
Вес: 0.50 кг.
Дата издания: 2010-06-28
Серия: Hard Science
Язык: English
Издание: 2nd edition
Иллюстрации: Black & white illustrations
Размер: 232 x 165 x 19
Читательская аудитория: Professional and scholarly
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Англии
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.

An Introduction to Multivariate Statistical Analysis, Third Edition

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.

Applied matrix and tensor variate data analysis

Название: Applied matrix and tensor variate data analysis
ISBN: 443155386X ISBN-13(EAN): 9784431553861
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book provides comprehensive reviews of recent progress in matrix variate and tensor variate data analysis from applied points of view.

An Introduction to Multivariate Data

Автор: Cox
Название: An Introduction to Multivariate Data
ISBN: 0470689188 ISBN-13(EAN): 9780470689189
Издательство: Wiley
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Цена: 36910.00 T
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Описание:

A comprehensive overview of multivariate data and analysis

Providing an introduction to the subject of multivariate data analysis without delving deeply into underlying theory and concepts, An Introduction to Multivariate Data is an excellent resource for undergraduate statistics courses as well as for professionals who require an understanding of statistical techniques for analyzing their own data sets. Focused on real-world application, the book includes sample exercises in each chapter to firmly cement the concepts covered. Exercises range from simple problems that can be solved by hand or with a calculator, while others require the use of computer-based statistical software.


Applied Multiway Data Analysis

Автор: Kroonenberg
Название: Applied Multiway Data Analysis
ISBN: 0470164972 ISBN-13(EAN): 9780470164976
Издательство: Wiley
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Цена: 155180.00 T
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Описание: This book covers the most common methods for analyzing single, double, three-way and multi-way data. Geared towards applications and the decisions that have to be made to get meaningful analyses, it presents a variety of models illustrated using commercially available software.

Applied Multivariate Analysis

Автор: Neil H. Timm
Название: Applied Multivariate Analysis
ISBN: 1441929630 ISBN-13(EAN): 9781441929631
Издательство: Springer
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Цена: 83850.00 T
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Описание: Univariate statistical analysis is concerned with techniques for the analysis of a single random variable. This book is about applied multivariate analysis. It was written to p- vide students and researchers with an introduction to statistical techniques for the ana- sis of continuous quantitative measurements on several random variables simultaneously. While quantitative measurements may be obtained from any population, the material in this text is primarily concerned with techniques useful for the analysis of continuous obser- tions from multivariate normal populations with linear structure. While several multivariate methods are extensions of univariate procedures, a unique feature of multivariate data an- ysis techniques is their ability to control experimental error at an exact nominal level and to provide information on the covariance structure of the data. These features tend to enhance statistical inference, making multivariate data analysis superior to univariate analysis. While in a previous edition of my textbook on multivariate analysis, I tried to precede a multivariate method with a corresponding univariate procedure when applicable, I have not taken this approach here. Instead, it is assumed that the reader has taken basic courses in multiple linear regression, analysis of variance, and experimental design. While students may be familiar with vector spaces and matrices, important results essential to multivariate analysis are reviewed in Chapter 2. I have avoided the use of calculus in this text.

Multivariate Time Series Analysis: With R and Financial Applications

Автор: Ruey S. Tsay
Название: Multivariate Time Series Analysis: With R and Financial Applications
ISBN: 1118617908 ISBN-13(EAN): 9781118617908
Издательство: Wiley
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Цена: 125610.00 T
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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.

Methods of Multivariate Analysis, 3e

Автор: Rencher
Название: Methods of Multivariate Analysis, 3e
ISBN: 0470178965 ISBN-13(EAN): 9780470178966
Издательство: Wiley
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Цена: 122440.00 T
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Описание: This new edition, now with a co-author, offers a complete and up-to-date examination of the field. The authors have streamlined previously tedious topics, such as multivariate regression and MANOVA techniques, to add newer, more timely content.


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