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Multivariate Statistical Methods = Going Beyond the Linear /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Multivariate Statistical Methods / by György Terdik.
其他題名:	Going Beyond the Linear /
作者:	Terdik, György.
面頁冊數:	XIV, 418 p.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics and Computing/Statistics Programs. -
電子資源:	https://doi.org/10.1007/978-3-030-81392-5
ISBN:	9783030813925

Multivariate Statistical Methods = Going Beyond the Linear /
Terdik, György.

Multivariate Statistical Methods Going Beyond the Linear /[electronic resource] :by György Terdik. - 1st ed. 2021. - XIV, 418 p.online resource. - Frontiers in Probability and the Statistical Sciences,2624-9995. - Frontiers in Probability and the Statistical Sciences,.

Some Introductory Algebra -- Tensor derivative of vector functions -- T-Moments and T-Cumulants -- Gaussian systems, T-Hermite polynomials, Moments and Cumulants -- Multivariate Skew Distributions -- Multivariate skewness and kurtosis.

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.

ISBN: 9783030813925

Standard No.: 10.1007/978-3-030-81392-5doiSubjects--Topical Terms:

669775
Statistics and Computing/Statistics Programs.

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

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