Linear algebra and linear models
Resource Information
The work Linear algebra and linear models represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Linear algebra and linear models
Resource Information
The work Linear algebra and linear models represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Linear algebra and linear models
 Statement of responsibility
 R.B. Bapat
 Subject

 Algebras, Linear
 Algebras, Linear
 Algebras, Linear
 Electronic resources
 Linear Models
 Linear Models
 Linear and Multilinear Algebras, Matrix Theory.
 Linear models (Statistics)
 Linear models (Statistics)
 Linear models (Statistics)
 Linear models (Statistics)
 Linear models (Statistics)
 Linear models (Statistics)
 Lineare Algebra
 Lineare Algebra
 Lineare Algebra
 Lineares Modell
 Lineares Modell
 Lineares Modell
 Mathematical statistics.
 Mathematics
 Mathematics
 Mathematics.
 Matrix theory.
 Statistical Theory and Methods.
 Statistics for Business/Economics/Mathematical Finance/Insurance.
 Algebras, Linear
 Algebras, Linear
 Algebras, Linear
 Language
 eng
 Summary
 Linear Algebra and Linear Models comprises a concise and rigorous introduction to linear algebra required for statistics followed by the basic aspects of the theory of linear estimation and hypothesis testing. The emphasis is on the approach using generalized inverses. Topics such as the multivariate normal distribution and distribution of quadratic forms are included. For this third edition, the material has been reorganised to develop the linear algebra in the first six chapters, to serve as a first course on linear algebra that is especially suitable for students of statistics or for those looking for a matrix theoretic approach to the subject. Other key features include: • coverage of topics such as rank additivity, inequalities for eigenvalues and singular values; • a new chapter on linear mixed models; • over seventy additional problems on rank: the matrix rank is an important and rich topic with connections to many aspects of linear algebra such as generalized inverses, idempotent matrices and partitioned matrices. This text is aimed primarily at advanced undergraduate and firstyear graduate students taking courses in linear algebra, linear models, multivariate analysis and design of experiments. A wealth of exercises, complete with hints and solutions, help to consolidate understanding. Researchers in mathematics and statistics will also find the book a useful source of results and problems
 Cataloging source
 GW5XE
 Image bit depth
 0
 LC call number
 QA184.2
 LC item number
 .B37 2012
 Literary form
 non fiction
 Nature of contents
 dictionaries
 Series statement
 Universitext,
Context
Context of Linear algebra and linear modelsWork of
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