Multivariate Statistical Methods Multivariate Statistical Methods
Frontiers in Probability and the Statistical Sciences

Multivariate Statistical Methods

Going Beyond the Linear

    • USD 89.99
    • USD 89.99

Descripción editorial

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.

GÉNERO
Ciencia y naturaleza
PUBLICADO
2021
26 de octubre
IDIOMA
EN
Inglés
EXTENSIÓN
432
Páginas
EDITORIAL
Springer International Publishing
VENDEDOR
Springer Nature B.V.
TAMAÑO
18.3
MB
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