000 02475nam a2200385 i 4500
001 CR9780511977176
003 UkCbUP
005 20240913181313.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 101013s2011||||enk o ||1 0|eng|d
020 _a9780511977176 (ebook)
020 _z9780521191586 (hardback)
020 _z9780521139519 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQA276.4
_b.M65 2011
082 0 0 _a519.5
_223
100 1 _aMonahan, John F.,
_eauthor.
245 1 0 _aNumerical methods of statistics /
_cJohn F. Monahan.
250 _aSecond edition.
264 1 _aCambridge :
_bCambridge University Press,
_c2011.
300 _a1 online resource (xvi, 447 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aCambridge series on statistical and probabilistic mathematics
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520 _aThis 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.
650 0 _aMathematical statistics
_xData processing.
650 0 _aNumerical analysis.
776 0 8 _iPrint version:
_z9780521191586
830 0 _aCambridge series on statistical and probabilistic mathematics.
856 4 0 _uhttps://doi.org/10.1017/CBO9780511977176
942 _2ddc
_cEB
999 _c10189
_d10189