Linear Algebra Models by Bapat (26 results)

Trade Paperback. Condition: Fine. Dust Jacket Condition: wraps. Second Edition. This is a fine paperback second edition copy, reddish spine.

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Condition: New. 3rd Edition.

Soft cover. Condition: New. ISBN:9789380250281.

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Hardcover. Condition: Très bon. Ancien livre de bibliothèque avec équipements. Couverture différente. Edition 1999. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Different cover. Edition 1999. Ammareal gives back up to 15% of this item's net price to charity organizations. …

Dura. Condition: New. Dust Jacket Condition: Nuevo. 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. No Aplica (illustrator). Libro. …

Condition: New. In English.

Paperback. Condition: New.

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Condition: New. pp. 176 3rd Edition.

Paperback. Condition: Brand New. 3rd edition. 184 pages. 9.25x6.10x0.40 inches. In Stock.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 first-year 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.…

Taschenbuch. Condition: Neu. Linear Algebra and Linear Models | Ravindra B. Bapat | Taschenbuch | Universitext | viii | Englisch | 2012 | Springer | EAN 9781447127383 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

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Hardcover. Condition: gut. Linear Algebra and Linear Models In englischer Sprache. pages.

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 first-year 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. 176 pp. Englisch.…

Condition: New. Print on Demand pp. 176 Illus.

Condition: New. PRINT ON DEMAND pp. 176.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a concise and rigorous introduction to linear algebra from the matrix theory viewpoint which is well-suited for statistical applicationsOffers a compact introduction to estimation and testing in linear models covering the basic results re.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 first-year 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 176 pp. Englisch.…