Книга Multivariate Statistical Methods György Terdik

Multivariate Statistical Methods

Going Beyond the Linear

Автор: György Terdik
Език: Английски език
Корици: С меки корици
Издател: Springer, Berlin
Наличност: Външен склад
Изпращаме след 5-8 дни
115.72 226.32 лв
This book presents a general method for deriving higher-order statistics of multivariate distributio...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С меки корици
Издадена
2022
страници
418
EAN
9783030813949
Enbook ID
41632265
Издател
Теглоt
602
Размери
155 x 235 x 24

Пълно описание

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.

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