000			02625cam a22003734a 4500
001			16497764
003			BD-DhUL
005			20140909111321.0
008			101012s2011 njua b 001 0 eng
010			_a 2010043284
020			_a9781118010648 (hardback)
020			_a1118010647 (hardback)
035			_a(OCoLC)ocn669751135
040			_aDLC _cDLC _dYDX _dBTCTA _dYDXCP _dBWX _dCDX _dDLC _dBD-DhUL
042			_apcc
050	0	0	_aQA276.15 _b.H83 2011
082	0	0	_a519.509 _bHUD _222
084			_aMAT029000 _2bisacsh
100	1		_aHuber, Peter J.
245	1	0	_aData analysis : _bwhat can be learned from the past 50 years / _cPeter J. Huber.
260			_aHoboken, N.J. : _bWiley, _cc2011.
300			_axiv, 210 p. : _bill. ; _c25 cm.
365			_aUSD _b98.96
490	0		_aWiley series in probability and statistics
504			_aIncludes bibliographical references and index.
520			_a"This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the time-tested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught? What techniques work best, and for whom? How valid are the results? How much data should be tested? Which machine languages should be used, if used at all? Emphasis on apprenticeship (through hands-on case studies) and anecdotes (through real-life applications) are the tools that Peter J. Huber uses in this volume. Concern with specific statistical techniques is not of immediate value; rather, questions of strategy - when to use which technique - are employed. Central to the discussion is an understanding of the significance of massive (or robust) data sets, the implementation of languages, and the use of models. Each is sprinkled with an ample number of examples and case studies. Personal practices, various pitfalls, and existing controversies are presented when applicable. The book serves as an excellent philosophical and historical companion to any present-day text in data analysis, robust statistics, data mining, statistical learning, or computational statistics"--Provided by publisher.
520			_a"This book explores the many provocative questions concerning the fundamentals of data analysis"-- _cProvided by publisher.
650		0	_aMathematical statistics _xHistory.
650		0	_aMathematical statistics _xPhilosophy.
650		0	_aNumerical analysis _xMethodology.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
955			_bre04 2010-10-12 _cre04 2010-10-12 ONIX Science _atc12 2011-06-09 1 copy rec'd., to CIP ver.
999			_c9076 _d9076