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ISBN10: 1441959440, ISBN13: 9781441959447, [publisher: Springer Nature Singapore] Hardcover 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 te ...
Hard Cover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Numerical Analysis for Statisticians. ISBN 1441959440 9781441959447 [GB]
ISBN10: 1441959440, ISBN13: 9781441959447, [publisher: Springer Nature Singapore] Hardcover 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 te ...
ISBN10: 1441959440, ISBN13: 9781441959447, [publisher: Springer] Hardcover Presenting aspects of numerical analysis applicable to statisticians, this volume enables students to craft their own software and to understand both the advantages and challenges of numerical methods. Topics include numerical stability, accurate approximations, computational complexity and more. Series: Statistics and Computing. Num Pages: 600 pages, biography. BIC Classification: KCHS; PBT. Category: (P) Professional & Vocational. Dimension: 240 x 158 x 41. Weight in Grams: 1044. . 2010. 2nd ed. 2010. Hardcover. . . . . [Galway, GY, Ireland] [Publication Year: 2010]
Springer, Date: 2010-06-15. Hardcover. Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Tracking 2010. Springer ISBN 1441959440 9781441959447 [US]
ISBN10: 1441959440, ISBN13: 9781441959447, [publisher: Springer] Hardcover Presenting aspects of numerical analysis applicable to statisticians, this volume enables students to craft their own software and to understand both the advantages and challenges of numerical methods. Topics include numerical stability, accurate approximations, computational complexity and more. Series: Statistics and Computing. Num Pages: 600 pages, biography. BIC Classification: KCHS; PBT. Category: (P) Professional & Vocational. Dimension: 240 x 158 x 41. Weight in Grams: 1044. . 2010. 2nd ed. 2010. Hardcover. . . . . Books ship from the US and Ireland. [Olney, MD, U.S.A.] [Publication Year: 2010]
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