Ordered Random Variables: Theory and Applications, Shahbaz

Автор: Simon Marvin K., Riedel Eibe
Название: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists
ISBN: 0387346570 ISBN-13(EAN): 9780387346571
Издательство: Springer
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Цена: 9781.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.

Автор: Rao M.M., Swift R.J.
Название: Probability Theory with Applications
ISBN: 0387277307 ISBN-13(EAN): 9780387277301
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book is a revised and expanded edition of a successful graduate and reference text. The material in the book is designed for a standard graduate course on probability theory, including some important applications. This new edition contains a detailed treatment of the core area of probability, and both structural and limit results are presented in full detail. Compared to the first edition, the material and presentation are better highlighted with several (small and large) alterations made to each chapter. Key features of the book include:

Автор: Dattalo Patrick
Название: Analysis of Multiple Dependent Variables
ISBN: 0199773599 ISBN-13(EAN): 9780199773596
Издательство: Oxford Academ
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Цена: 6334.00 р.
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Описание: This pocket guide provides a concise, practical, and economical introduction to four procedures for the analysis of multiple dependent variables: multivariate analysis of variance (MANOVA), multivariate analysis of covariance (MANCOVA), multivariate multiple regression (MMR), and structural equation modeling (SEM).

Автор: Stirzaker David, David Stirzaker
Название: Probability and Random Variables: A Beginner`s Guide
ISBN: 0521644453 ISBN-13(EAN): 9780521644457
Издательство: Cambridge Academ
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Цена: 7445.00 р.
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Описание: A simple, concise and accessible introduction to probability theory. Examples and exercises explore real life problems in areas including science, medicine, and gaming. Assuming minimal prior technical knowledge, it is suitable for students taking introductory courses, those needing a working knowledge of probability and other interested readers.