000 02336nam a22003618i 4500
001 CR9780511812231
003 UkCbUP
005 20200124160220.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 101021s2001||||enk o ||1 0|eng|d
020 _a9780511812231 (ebook)
020 _z9780521791687 (hardback)
020 _z9780521159418 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQA276.4
_b.M65 2001
082 0 0 _a519.5
_221
100 1 _aMonahan, John F.,
_eauthor.
245 1 0 _aNumerical methods of statistics /
_cJohn F. Monahan.
264 1 _aCambridge :
_bCambridge University Press,
_c2001.
300 _a1 online resource (xiv, 428 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 ;
_v7
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520 _aThis 2001 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 provides a basic background in numerical analysis emphasizing 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 application of numerical tools: numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. The book concludes with an examination of sorting, FFT and the application of other 'fast' algorithms to statistics. Each chapter contains exercises that range from the simple to research problems, as well as examples of the methods at work.
650 0 _aMathematical statistics
_xData processing.
650 0 _aNumerical analysis.
776 0 8 _iPrint version:
_z9780521791687
830 0 _aCambridge series on statistical and probabilistic mathematics ;
_v7.
856 4 0 _uhttps://doi.org/10.1017/CBO9780511812231
999 _c516660
_d516658