Gyorgy Terdik,
György Terdik
Multivariate Statistical Methods
Going Beyond the Linear
Paperback Engels 2022 9783030813949Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9783030813949
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing
Lezersrecensies
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Inhoudsopgave
<p>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.</p>
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