Linear Algebra and Linear Models
(Sprache: Englisch)
The main purpose of Linear Algebra and Linear Models is to provide a rigorous introduction to the basic aspects of the theory of linear estimation and hypothesis testing. The necessary prerequisites in matrices, multivariate normal distribution and...
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Klappentext zu „Linear Algebra and Linear Models “
The main purpose of Linear Algebra and Linear Models is to provide a rigorous introduction to the basic aspects of the theory of linear estimation and hypothesis testing. The necessary prerequisites in matrices, multivariate normal distribution and distributions of quadratic forms are developed along the way. The book is aimed at advanced undergraduate and first-year graduate masters students taking courses in linear algebra, linear models, multivariate analysis, and design of experiments. It should also be of use to research mathematicians and statisticians as a source of standard results and problems.
Inhaltsverzeichnis zu „Linear Algebra and Linear Models “
Vector Spaces and Matrices.- Linear Estimation.- Tests of Linear Hypotheses.- Singular Values and Their Applications.- Block Designs and Optimality.- Rank Additivity.
Bibliographische Angaben
- Autor: R. B. Bapat
- 2000, 2nd ed., X, 138 Seiten, Maße: 24,5 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 0387988718
- ISBN-13: 9780387988719
Sprache:
Englisch
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