000			02007cam a22003374a 4500
001			17088936
003			OSt
005			20150408114152.0
008			111219s2012 ne a b 001 0 eng
010			_a 2011047130
020			_a9780123869838 (hardback)
040			_aDLC _cDLC _dDLC
042			_apcc
050	0	0	_aQA276.8 _b.W55 2012
082	0	0	_a519.544 _223 _bWRI
100	1		_aWilcox, Rand R. _917193
245	1	0	_aIntroduction to robust estimation and hypothesis testing / _cRand R. Wilcox.
250			_a3rd ed.
260			_aAmsterdam ; _aBoston : _bAcademic Press, _c2012.
300			_axxi, 690 p. : _bill. ; _c25 cm.
490	0		_aStatistical modeling and decision science
504			_aIncludes bibliographical references and index.
505	8		_aMachine generated contents note: Preface 1. Introduction 2. A Foundation for Robust Methods 3. Estimating Measures of Location and Scale 4. Confidence Intervals in the One-Sample Case 5. Comparing Two Groups 6. Some Multivariate Methods 7. One-Way and Higher Designs for Independent Groups 8. Comparing Multiple Dependent Groups 9. Correlation and Tests of Independence 10. Robust Regression 11. More Regression Methods.
520			_a"This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"--
650		0	_aEstimation theory. _910573
650		0	_aRobust statistics. _940044
650		0	_aStatistical hypothesis testing. _940045
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cDVD
999			_c32158 _d266658