Moxic Soft Abstract Art Living Room Area Rugs Rectangular Children Crawling Bedroom Rug Fleece Anti-Slip Carpets Nordic Modern 3D Home Decor Mats Indoor Outdoor Runners Nursery 6.5' X 9.2'

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.

• | Author: György Terdik
• | Publisher: Springer
• | Publication Date: Oct 28, 2022
• | Number of Pages: NA pages
• | Language: English
• | Binding: Misc. Supplies
• | ISBN-10: 3030813940
• | ISBN-13: 9783030813949