Kód: 41632265
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 highe ... celý popis
Angličtina
113.31 €
Bežne: 122.74 €
Ušetríte 9.43 €

Nákupom získate 274 bodov
Anotácia knihy
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.
Parametre knihy
Zaradenie knihy Knihy po anglicky Mathematics & science Mathematics Probability & statistics
113.31 €
Angličtina
Osobný odber Bratislava a 12744 dalších
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