Multivariate Statistical Methods

Discover the intricacies of multivariate distributions with Multivariate Statistical Methods by György Terdik. Published by Springer Nature Switzerland AG in 2022, this comprehensive paperback edition spans 418 pages and offers a clear methodology for deriving higher-order statistics using straightforward algorithms.

György Terdik expertly employs the tensor derivative as a primary tool, leading to valuable insights into Hermite polynomials, moments, cumulants, skewness, and kurtosis. This book is an essential resource for statisticians and researchers looking to enhance their understanding of complex statistical methods. Dive into the world of multivariate statistics and elevate your analytical skills with this enlightening guide.