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Multivariate Statistical Methods - Going Beyond the Linear (Hardcover, 1st ed. 2021) Loot Price: R3,294
Discovery Miles 32 940
Repayment Terms: R309 pm x 12*
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Multivariate Statistical Methods - Going Beyond the Linear (Hardcover, 1st ed. 2021): Gyoergy Terdik

Multivariate Statistical Methods - Going Beyond the Linear (Hardcover, 1st ed. 2021)

Gyoergy Terdik

Series: Frontiers in Probability and the Statistical Sciences

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Loot Price R3,294 Discovery Miles 32 940 | Repayment Terms: R309 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Frontiers in Probability and the Statistical Sciences
Release date: October 2021
First published: 2021
Authors: Gyoergy Terdik
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 418
Edition: 1st ed. 2021
ISBN-13: 978-3-03-081391-8
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
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LSN: 3-03-081391-6
Barcode: 9783030813918

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