This book provides a rigorous introduction to the basic aspects of the theory of linear estimation and hypothesis testing, covering the necessary prerequisites in matrices, multivariate normal distribution and distributions of quadratic forms along the way. It will appeal to advanced undergraduate and first-year graduate students, research mathematicians and statisticians.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
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Dura. Condition: New. Dust Jacket Condition: Nuevo. No Aplica (illustrator). 2. 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 necesary prerquisites in matrices, multivariate normal distribution, and distributions of quadratics forms are developed along the way. The book is aimed at advances undergraduate and first-year graduate master?s 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 asource of standard results and problems. 340 gr. Libro. Seller Inventory # 9780387988719LEA19536
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