Numerical Analysis for Statisticians, Second Edition (Statistics and Computing) - Couverture souple
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Synopsis
Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on the principles of numerical analysis and is intended to equip those readers who use statistics to craft their own software and to understand the advantages and disadvantages of different numerical methods.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on the principles of numerical analysis and is intended to equip those readers who use statistics to craft their own software and to understand the advantages and disadvantages of different numerical methods.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Numerical Analysis for Statisticians (Statistics and Computing)
Edité par
Springer, 2012
ISBN 10 : 146142612X
ISBN 13 : 9781461426127
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Lange:Numerical Analysis for Statistici (eng)
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Numerical Analysis for Statisticians (Statistics and Computing)
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Numerical Analysis for Statisticians
Edité par
Springer, Humana Sep 2012, 2012
ISBN 10 : 146142612X
ISBN 13 : 9781461426127
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Every advance in computer architecture and software tempts statisticians to tackle numerically harder problems. To do so intelligently requires a good working knowledge of numerical analysis. This book equips students to craft their own software and to understand the advantages and disadvantages of different numerical methods. Issues of numerical stability, accurate approximation, computational complexity, and mathematical modeling share the limelight in a broad yet rigorous overview of those parts of numerical analysis most relevant to statisticians.In this second edition, the material on optimization has been completely rewritten. There is now an entire chapter on the MM algorithm in addition to more comprehensive treatments of constrained optimization, penalty and barrier methods, and model selection via the lasso. There is also new material on the Cholesky decomposition, Gram-Schmidt orthogonalization, the QR decomposition, the singular value decomposition, and reproducing kernel Hilbert spaces. The discussions of the bootstrap, permutation testing, independent Monte Carlo, and hidden Markov chains are updated, and a new chapter on advanced MCMC topics introduces students to Markov random fields, reversible jump MCMC, and convergence analysis in Gibbssampling.Numerical Analysis for Statisticians can serve as a graduate text for a course surveying computational statistics. With a careful selection of topics and appropriate supplementation, it can be used at the undergraduate level. It contains enough material for a graduate course on optimization theory. Because many chapters are nearly self-contained, professional statisticians will also find the book useful as a reference. 620 pp. Englisch. N° de réf. du vendeur 9781461426127
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Numerical Analysis for Statisticians
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Springer New York, 2012
ISBN 10 : 146142612X
ISBN 13 : 9781461426127
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Serves as a graduate text for a survey of computational statisticsSecond edition adds material on optimization, MM algorithm, penalty and barrier methods, and model selection via the lassoOther major topics are updatedNumerical analysis is the study of . N° de réf. du vendeur 4197607
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Numerical Analysis for Statisticians
Edité par
Springer-Verlag New York Inc., 2012
ISBN 10 : 146142612X
ISBN 13 : 9781461426127
Neuf
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Numerical Analysis for Statisticians
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Taschenbuch. Etat : Neu. Numerical Analysis for Statisticians | Kenneth Lange | Taschenbuch | Statistics and Computing | xx | Englisch | 2012 | Humana | EAN 9781461426127 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 106298059
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Numerical Analysis for Statisticians
Edité par
Springer, Humana Sep 2012, 2012
ISBN 10 : 146142612X
ISBN 13 : 9781461426127
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Every advance in computer architecture and software tempts statisticians to tackle numerically harder problems. To do so intelligently requires a good working knowledge of numerical analysis. This book equips students to craft their own software and to understand the advantages and disadvantages of different numerical methods. Issues of numerical stability, accurate approximation, computational complexity, and mathematical modeling share the limelight in a broad yet rigorous overview of those parts of numerical analysis most relevant to statisticians.In this second edition, the material on optimization has been completely rewritten. There is now an entire chapter on the MM algorithm in addition to more comprehensive treatments of constrained optimization, penalty and barrier methods, and model selection via the lasso. There is also new material on the Cholesky decomposition, Gram-Schmidt orthogonalization, the QR decomposition, the singular value decomposition, and reproducing kernel Hilbert spaces. The discussions of the bootstrap, permutation testing, independent Monte Carlo, and hidden Markov chains are updated, and a new chapter on advanced MCMC topics introduces students to Markov random fields, reversible jump MCMC, and convergence analysis in Gibbssampling.Numerical Analysis for Statisticians can serve as a graduate text for a course surveying computational statistics. With a careful selection of topics and appropriate supplementation, it can be used at the undergraduate level. It contains enough material for a graduate course on optimization theory. Because many chapters are nearly self-contained, professional statisticians will also find the book useful as a reference.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 620 pp. Englisch. N° de réf. du vendeur 9781461426127
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Numerical Analysis for Statisticians
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Every advance in computer architecture and software tempts statisticians to tackle numerically harder problems. To do so intelligently requires a good working knowledge of numerical analysis. This book equips students to craft their own software and to understand the advantages and disadvantages of different numerical methods. Issues of numerical stability, accurate approximation, computational complexity, and mathematical modeling share the limelight in a broad yet rigorous overview of those parts of numerical analysis most relevant to statisticians.In this second edition, the material on optimization has been completely rewritten. There is now an entire chapter on the MM algorithm in addition to more comprehensive treatments of constrained optimization, penalty and barrier methods, and model selection via the lasso. There is also new material on the Cholesky decomposition, Gram-Schmidt orthogonalization, the QR decomposition, the singular value decomposition, and reproducing kernel Hilbert spaces. The discussions of the bootstrap, permutation testing, independent Monte Carlo, and hidden Markov chains are updated, and a new chapter on advanced MCMC topics introduces students to Markov random fields, reversible jump MCMC, and convergence analysis in Gibbssampling.Numerical Analysis for Statisticians can serve as a graduate text for a course surveying computational statistics. With a careful selection of topics and appropriate supplementation, it can be used at the undergraduate level. It contains enough material for a graduate course on optimization theory. Because many chapters are nearly self-contained, professional statisticians will also find the book useful as a reference. N° de réf. du vendeur 9781461426127
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Numerical Analysis for Statisticians (Statistics and Computing)
Edité par
Springer-Verlag New York Inc., 2012
ISBN 10 : 146142612X
ISBN 13 : 9781461426127
Neuf
Paperback
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 2nd reprint edition. 620 pages. 9.00x6.00x1.50 inches. In Stock. N° de réf. du vendeur x-146142612X
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