Multivariate, Multilinear and Mixed Linear Models (Paperback, 1st ed. 2021)

This book presents the latest findings on statistical inference in multivariate, multilinear and mixed linear models, providing a holistic presentation of the subject. It contains pioneering and carefully selected review contributions by experts in the field and guides the reader through topics related to estimation and testing of multivariate and mixed linear model parameters. Starting with the theory of multivariate distributions, covering identification and testing of covariance structures and means under various multivariate models, it goes on to discuss estimation in mixed linear models and their transformations. The results presented originate from the work of the research group Multivariate and Mixed Linear Models and their meetings held at the Mathematical Research and Conference Center in Bedlewo, Poland, over the last 10 years. Featuring an extensive bibliography of related publications, the book is intended for PhD students and researchers in modern statistical science who are interested in multivariate and mixed linear models.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Contributions to Statistics
Release date:	October 2022
First published:	2021
Editors:	Katarzyna Filipiak • Augustyn Markiewicz • Dietrich Von Rosen
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	350
Edition:	1st ed. 2021
ISBN-13:	978-3-03-075496-9
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Algebra > General
LSN:	3-03-075496-0
Barcode:	9783030754969

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