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Ajouter au panierEtat : Used: Good. Occasion - Bon Etat - Numerical analysis for statisticians (1999) - Grand Format.
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EUR 25,09
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Ajouter au panierEtat : very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if youâre not satisfied with purchase please return item for full refund. Ships USPS Media Mail.
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Ajouter au panierEtat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
EUR 17,42
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Ajouter au panierHardcover. Etat : with no dust jacket. "A biased selection of those topics in theoretical numerical analysis most relevant to statistics." 356 pages. Spine area sunned, name inked on free front endpage.; 6 1/4 x 9 1/2 ''.
Edité par New York: Springer-Verlag, 2000
ISBN 10 : 0387949798 ISBN 13 : 9780387949796
Langue: anglais
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EUR 52,20
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Ajouter au paniergebundene Ausgabe. Etat : Sehr gut. Zust: Gutes Exemplar. XV, 356 S., Englisch 668g.
EUR 34,84
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Ajouter au panierTrade Paperback. Etat : Near Fine. Corrected Second Printing. This is a near fine corrected second printing paperback copy, tan spine.
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EUR 83,70
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Ajouter au panierpaperback. Etat : Good. Cover and edges may have some wear.
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Ajouter au panierhardcover. Etat : Very Good. Cover and edges may have some wear.
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Ajouter au panierhardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 115,89
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EUR 111,93
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Ajouter au panierEtat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
EUR 111,99
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Ajouter au panierEtat : New.
EUR 115,87
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Ajouter au panierEtat : New.
Edité par Springer New York, Springer US Sep 2012, 2012
ISBN 10 : 146142612X ISBN 13 : 9781461426127
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 117,69
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Ajouter au panierTaschenbuch. Etat : Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 620 pp. Englisch.
Edité par Springer New York, Springer US, 2012
ISBN 10 : 146142612X ISBN 13 : 9781461426127
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 122,12
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Ajouter au panierTaschenbuch. 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.
Vendeur : Toscana Books, AUSTIN, TX, Etats-Unis
EUR 108,97
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Ajouter au panierHardcover. Etat : new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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EUR 112,77
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Ajouter au panierHardcover. Etat : Very Good. Very Good. book.
EUR 141,71
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Ajouter au panierEtat : New. pp. 622 2nd Edition.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 147,35
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Ajouter au panierEtat : New. In English.
Vendeur : Textbooks_Source, Columbia, MO, Etats-Unis
EUR 88,59
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Ajouter au panierhardcover. Etat : Good. 2nd ed. 2010. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
EUR 147,34
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Ajouter au panierEtat : New.
EUR 156,29
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Ajouter au panierEtat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 110,83
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Ajouter au panierEtat : New.
Edité par Springer-Verlag New York Inc., 2012
ISBN 10 : 146142612X ISBN 13 : 9781461426127
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 166,71
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Ajouter au panierPaperback. Etat : Brand New. 2nd reprint edition. 620 pages. 9.00x6.00x1.50 inches. In Stock.
EUR 163,36
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EUR 168,53
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Ajouter au panierBuch. 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.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 175,94
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Ajouter au panierEtat : New.
EUR 187,55
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 178,06
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Ajouter au panierPaperback. Etat : Like New. Like New. book.
EUR 211,15
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Ajouter au panierEtat : As New. Unread book in perfect condition.