Numerical methods of statistics /

Numerical methods of statistics /

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Bibliographic Details
Author / Creator:	Monahan, John F.
Edition:	2nd ed.
Imprint:	Cambridge ; New York : Cambridge University Press, 2011.
Description:	1 online resource (xvi, 447 pages) : illustrations
Language:	English
Series:	Cambridge series in statistical and probabilistic mathematics ; [32] Cambridge series on statistical and probabilistic mathematics ; 32.
Subject:	Mathematical statistics -- Data processing. Numerical analysis. Mathematical statistics -- Data processing. Numerical analysis.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11827356

Hidden Bibliographic Details
ISBN:	9781139082112 1139082116 9781139079846 1139079840 9781139077552 1139077554 9780511977176 0511977174 1107213894 9781107213890 1283112329 9781283112321 9786613112323 6613112321 1139075292 9781139075299 1139069527 9781139069526 9780521191586 0521191580 9780521139519 0521139511
Digital file characteristics:	data file
Notes:	Includes bibliographical references and indexes. English. Print version record.
Summary:	This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book offers a basic background in numerical analysis that emphasizes issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats the application of numerical tools; numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. Each chapter contains exercises that range from simple questions to research problems. Most of the examples are accompanied by demonstration and source code available from the author's website. New in this second edition are demonstrations coded in R, as well as new sections on linear programming and the Nelder-Mead search algorithm.
Other form:	Print version: Monahan, John F. Numerical methods of statistics. 2nd ed. Cambridge ; New York : Cambridge University Press, ©2011 9780521191586

Description
Physical Description:	1 online resource (xvi, 447 pages) : illustrations
Bibliography:	Includes bibliographical references and indexes.
ISBN:	9781139082112 1139082116 9781139079846 1139079840 9781139077552 1139077554 9780511977176 0511977174 1107213894 9781107213890 1283112329 9781283112321 9786613112323 6613112321 1139075292 9781139075299 1139069527 9781139069526 9780521191586 0521191580 9780521139519 0521139511