Multivariate, Multilinear and Mixed Linear Models

Download or Read eBook Multivariate, Multilinear and Mixed Linear Models PDF written by Katarzyna Filipiak and published by Springer Nature. This book was released on 2021-10-01 with total page 357 pages. Available in PDF, EPUB and Kindle.
Multivariate, Multilinear and Mixed Linear Models
Author :
Publisher : Springer Nature
Total Pages : 357
Release :
ISBN-10 : 9783030754945
ISBN-13 : 3030754944
Rating : 4/5 (45 Downloads)

Book Synopsis Multivariate, Multilinear and Mixed Linear Models by : Katarzyna Filipiak

Book excerpt: 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 Będlewo, 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.


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