Produktnummer:
189853d9ccad6140efb7d5576071261fbe
| Themengebiete: | Covariance Structure High-dimensional Assumptions Linear Models Mixed Linear Models Mixed Multivariate Models Multi-level Multivariate Data Sets Multilinear Algebra Multilinear Models Multivariate Analysis Statistical Testing and Estimation |
|---|---|
| Veröffentlichungsdatum: | 03.10.2022 |
| EAN: | 9783030754969 |
| Sprache: | Englisch |
| Seitenzahl: | 350 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Filipiak, Katarzyna Markiewicz, Augustyn von Rosen, Dietrich |
| Verlag: | Springer International Publishing |
Produktinformationen "Multivariate, Multilinear and Mixed Linear Models"
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.
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