Multivariate Statistical Methods / Frontiers in Probability and the Statistical Sciences (PDF)

Name: Multivariate Statistical Methods / Frontiers in Probability and the Statistical Sciences
Brand: Springer International Publishing
SKU: 140740663
Price: 109.99 EUR
Availability: OnlineOnly

Going Beyond the Linear (Sprache: Englisch)

Autor: György Terdik

Schreiben Sie einen Kommentar zu "Multivariate Statistical Methods / Frontiers in Probability and the Statistical Sciences".

Multivariate Statistical Methods / Frontiers in Probability and the Statistical Sciences, György Terdik

Merken

Mehr zum Inhalt Autorenporträt Video

eBook (pdf) 109.99 €

Buch (Gebunden) 120.99 €

Leider schon ausverkauft

Bestellnummer: 140740663

Printausgabe 120.99 €

eBook (pdf) -9% 109.99 €

Download bestellen

Verschenken

Lastschrift, Kreditkarte, Paypal, Rechnung
Kostenloser tolino webreader

Produktdetails

Produktbeschreibung
Autorenporträt
eBook Hilfe
Biblio. Angaben / Produktdetails

Produktinformationen zu „Multivariate Statistical Methods / Frontiers in Probability and the Statistical Sciences (PDF)“

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.

Autoren-Porträt von György Terdik

György Terdik received his PhD in 1982 at the Department of Probability Theory, State University of Leningrad, USSR. He has been a full-time professor at the Faculty of Informatics, University of Debrecen, Hungary since 2008. He has spent 10 semesters visiting different universities in the US including UC Berkeley and UC Santa Barbara, and the Case Western Reserve University, among others.

His research interests include multivariate nonlinear statistics, time series analysis, modelling high speed communication networks, bilinear and multi-fractal models, directional statistics, and spherical processes, spatial dependence and interaction between space and time.