György Terdik

(Author)

Multivariate Statistical Methods: Going Beyond the Linear (2021)Hardcover - 2021, 27 October 2021

Multivariate Statistical Methods: Going Beyond the Linear (2021)
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Part of Series
Frontiers in Probability and the Statistical Sciences
Print Length
418 pages
Language
English
Publisher
Springer
Date Published
27 Oct 2021
ISBN-10
3030813916
ISBN-13
9783030813918

Description

This book presents a general method for deriving higher-order statistics of multivariate distributions with simple algorithms that allow for actual calculations. Multivariate nonlinear statistical models require the study of higher-order moments and cumulants. The main tool used for the definitions is the tensor derivative, leading to several useful expressions concerning Hermite polynomials, moments, cumulants, skewness, and kurtosis. A general test of multivariate skewness and kurtosis is obtained from this treatment. Exercises are provided for each chapter to help the readers understand the methods. Lastly, the book includes a comprehensive list of references, equipping readers to explore further on their own.

Product Details

Author:
György Terdik
Book Edition:
2021
Book Format:
Hardcover
Country of Origin:
NL
Date Published:
27 October 2021
Dimensions:
23.39 x 15.6 x 2.39 cm
ISBN-10:
3030813916
ISBN-13:
9783030813918
Language:
English
Location:
Cham
Pages:
418
Publisher:
Weight:
780.18 gm

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