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Springer Multivariate Statistical Methods: Going Beyond the Linear (Frontiers in Probability and the Statistical Sciences)

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£99.99 £86.02 £89.07 £92.12 £95.16 £98.21 £101.26 22 February 2026 13 March 2026 01 April 2026 20 April 2026 10 May 2026

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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 Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 October 2022
Listed Since
30 September 2022

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