Numerical Analysis for Statisticians (Paperback, Softcover reprint of hardcover 2nd ed. 2010)

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 Gibbs sampling. 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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Statistics and Computing
Release date:	September 2012
First published:	2010
Authors:	Kenneth Lange
Dimensions:	235 x 155 x 31mm (L x W x T)
Format:	Paperback
Pages:	600
Edition:	Softcover reprint of hardcover 2nd ed. 2010
ISBN-13:	978-1-4614-2612-7
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Economics > Econometrics > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	1-4614-2612-X
Barcode:	9781461426127

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