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Multivariate, Multilinear and Mixed Linear Models
Paperback
Series: Contributions to Statistics
AlgebraProbability & Statistics
ISBN13: 9783030754969
Publisher: Springer
Published: Oct 3 2022
Pages: 350
Weight: 1.12
Height: 0.75 Width: 6.14 Depth: 9.21
Language: English
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 statisticalscience who are interested in multivariate and mixed linear models.
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