This text aims to provide a clear and deep understanding of the general linear model using simple statistical ideas. Elegant geometric arguments are also invoked as needed and a review of vector spaces and matrices is provided to make the treatment self-contained. Complex, matrix-algebraic methods,
Linear Models: An Integrated Approach
โ Scribed by Sreenivasa Rao Jammalamadaka, Debasis Sengupta
- Publisher
- World Scientific Publishing Company
- Year
- 2003
- Tongue
- English
- Leaves
- 645
- Edition
- 1st
- Category
- Library
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๐ SIMILAR VOLUMES
This text aims to provide a clear and deep understanding of the general linear model using simple statistical ideas. Elegant geometric arguments are also invoked as needed and a review of vector spaces and matrices is provided to make the treatment self-contained. Complex, matrix-algebraic methods,
Generalized Linear Models (GLM) is a general class of statistical models that includes many commonly used models as special cases. For example, the class of GLMs that includes linear regression, analysis of variance and analysis of covariance, is a special case of GLIMs. GLIMs also include log-lin
The assessment of risks posed by natural hazards such as floods, droughts, earthquakes, tsunamis or cyclones, may not reflect the full range or magnitude of events possible. As human populations grow, especially in hazard-prone areas, methods for accurately assessing natural hazard risks are becomin
The aim of this textbook is to develop the basic properties of modules and to show their importance in the theory of linear algebra. It is intended to provide a self-contained course as well as to indicate how the theory may be developed in a number of more advanced directions. Throughout, numerous