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 rela...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2021, 2021
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| Edition: | 1st ed. 2021 |
| Series: | Contributions to Statistics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Preface
- Holonomic gradient method for multivariate distribution theory (Akimichi Takemura)
- From normality to skewed multivariate distributions: a personal view (Tõnu Kollo)
- Multivariate moments in multivariate analysis (Jolanta Pielaszkiewicz and Dietrich von Rosen)
- Regularized estimation of covariance structure through quadratic loss function (Defei Zhang, Xiangzhao Cui, Chun Li, Jine Zhao, Li Zeng, and Jianxin Pan)
- Separable covariance structure identification for doubly multivariate data (Katarzyna Filipiak, Daniel Klein, and Monika Mokrzycka)
- Estimation and testing of the covariance structure of doubly multivariate data (Katarzyna Filipiak and Daniel Klein)
- Testing equality of mean vectors with block-circular and block compound-symmetric covariance matrices (Carlos A. Coelho)
- Estimation and testing hypotheses in two-level and three-level multivariate data with block compound symmetric covariance structure (Arkadiusz Kozioł, Anuradha Roy, Roman Zmyślony, Ivan Žežula, and Miguel Fonseca)
- Testing of multivariate repeated measures data with block exchangeable covariance structure (Ivan Žežula, Daniel Klein, and Anuradha Roy)
- On a simplified approach to estimation in experiments with orthogonal block structure (Radosław Kala)
- A review of the linear sufficiency and linear prediction sufficiency in the linear model with new observations (Stephen J. Haslett, Jarkko Isotalo, Radosław Kala, Augustyn Markiewicz, and Simo Puntanen)
- Linear mixed-effects model using penalized spline based on data transformation methods (Syed Ejaz Ahmed, Dursun Aydın and Ersin Yılmaz)
- MMLM meetings – List of Publications
- Index