000			02183cam a2200433 i 4500
001			18333415
003			OSt
005			20150325132034.0
008			141014s2013 caua b 001 0 eng d
010			_a 2012361596
015			_aGBB343742 _2bnb
016	7		_a016328945 _2Uk
020			_a1452234957
020			_a9781452234953
035			_a(OCoLC)ocn823577885
040			_aYDXCP _beng _cYDXCP _erda _dUKMGB _dJCU _dXII _dLGG _dOCLCF _dCUD _dOCLCO _dDLC _dSIU Central Library
042			_alccopycat
050	0	0	_aHA31.3 _b.K38 2013
082	0	4	_a300.727 _223 _b41117
100	1		_aKaufman, Robert L., _eauthor.
245	1	0	_aHeteroskedasticity in regression : _bdetection and correction / _cRobert L. Kaufman.
300			_axiv, 97 pages : _billustrations ; _c22 cm.
365			_bRs.1254.00 _e19.00 USD
366			_2The Forward Books, Pune. Invoice no.7027
490	1		_aSeries: Quantitative applications in the social sciences ; _v172.
500			_aSeries numbering on spine: 07-172; on cover: 172.
504			_aIncludes bibliographical references (pages 89-90) and indexes.
505	0		_aWhat is heteroskedasticity and why should we care? -- Detecting and diagnosing heteroskedasticity -- Variance-stabilizing transformations to correct for heteroskedasticity -- Heteroskedasticity-consistent (robust) standard errors -- (Estimated) generalized least squares regression model for heteroskedasticity -- Choosing among correction options -- Appendix: miscellaneous derivations and tables.
520			_a"Covers the commonly ignored topic of heteroskedasticity (unequal error variances) in regression analyses and provides a practical guide for how to proceed in terms of testing and correction."-- Publisher description.
650		0	_aHeteroscedasticity.
650		0	_aRegression analysis.
650		0	_aLeast squares.
650		0	_aEconometrics.
650		0	_aSocial sciences _xStatistical methods.
830		0	_aQuantitative applications in the social sciences ; _vno. 07-172.
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cB
999			_c297426 _d297426