Multivariate, Multilinear and Mixed Linear Models

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Éditeur :

Springer


Collection :

Contributions to Statistics

Paru le : 2021-10-01

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Description


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 statisticalscience who are interested in multivariate and mixed linear models. 

Pages
350 pages
Collection
Contributions to Statistics
Parution
2021-10-01
Marque
Springer
EAN papier
9783030754938
EAN PDF
9783030754945

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
35
Taille du fichier
6380 Ko
Prix
179,34 €
EAN EPUB
9783030754945

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
35
Taille du fichier
39363 Ko
Prix
179,34 €