000			05847cam a2200685Ma 4500
001			ocm45729599
003			OCoLC
005			20190114101353.0
006			m o d
007			cr cn|||||||||
008			001009s1997 nyua ob 001 0 eng d
010			_z 97020373
040			_aN$T _beng _epn _cN$T _dOCL _dOCLCQ _dNLGGC _dOCLCQ _dE7B _dOCLCQ _dTUU _dOCLCQ _dTNF _dDAY _dYDXCP _dEBLCP _dMHW _dO9T _dOCLCQ _dGRPVE _dOCLCO _dOCLCQ _dZCU _dGW5XE _dOCLCF _dOCLCQ _dNHA _dOCLCQ _dDEBSZ _dIDEBK _dCOO _dOCLCQ _dMWM _dOCLCQ _dSUR _dZ5A _dOCLCQ _dUAB _dOCLCQ _dSAV _dOCLCQ _dQT7 _dCOD _dN$T _dOCL _dLUE _dMERUC _dSTF _dDKU _dOCLCQ
019			_a55047759 _a66742671 _a272404596 _a532712630 _a639050070 _a970729577 _a984853071 _a1007373042 _a1035678749
020			_a0585256578 _q(electronic bk.)
020			_a9780585256573 _q(electronic bk.)
020			_z9780306456480
020			_z0306456486
029	1		_aAU@ _b000058011283
029	1		_aDEBSZ _b430280114
029	1		_aNZ1 _b11632666
029	1		_aNZ1 _b15295575
035			_a(OCoLC)45729599 _z(OCoLC)55047759 _z(OCoLC)66742671 _z(OCoLC)272404596 _z(OCoLC)532712630 _z(OCoLC)639050070 _z(OCoLC)970729577 _z(OCoLC)984853071 _z(OCoLC)1007373042 _z(OCoLC)1035678749
050		4	_aQA278.2 _b.A434 1997eb
072		7	_aMAT _x029030 _2bisacsh
082	0	4	_a519.536
049			_aMAIN
100	1		_aAllen, Michael Patrick.
245	1	0	_aUnderstanding regression analysis / _cMichael Patrick Allen.
260			_aNew York : _bPlenum Press, _c�1997.
300			_a1 online resource (ix, 216 pages) : _billustrations
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
504			_aIncludes bibliographical references (pages 210-212) and index.
520			_aProceeding on the assumption that it is possible to develop a sufficient understanding of this technique without resorting to mathematical proofs and statistical theory, Understanding Regression Analysis explores Descriptive statistics using vector notation and the components of a simple regression model; the logic of sampling distributions and simple hypothesis testing; the basic operations of matrix algebra and the properties of the multiple regression model; the testing of compound hypotheses and the application of the regression model to the analysis of variance and covariance; and structural equation models and influence statistics.
520	8		_aThis user-friendly text encourages an intuitive grasp of regression analysis by deferring issues of statistical inference until the reader has gained some experience with the purely descriptive properties of the regression model. It is an excellent, practical guide for advanced undergraduate and postgraduate students in social science courses covering sociology, political science, anthropology, and psychology, and a worthwhile primer for researchers and policy analysts with no formal training in statistics.
505	0	0	_tOrigins and uses of regression analysis -- _tBasic matrix algebra: manipulating vectors -- _tMean and variance of a variable -- _tRegression models and linear functions -- _tErrors of prediction and least-squares estimation -- _tCovariance and linear independence -- _tSeparating explained and error variance -- _tTransforming variables to standard form -- _tRegression analysis with standardized variables -- _tPopulations, samples, and sampling distributions -- _tSampling distributions and test statistics -- _tTesting hypotheses using the t test -- _tt test for the simple regression coefficient -- _tMore matrix algebra: manipulating matrices -- _tMultiple regression model -- _tNormal equations and partial regression coefficients -- _tPartial regression and residualized variables -- _tCoefficient of determination in multiple regression -- _tStandard errors of partial regression coefficents -- _tIncremental contributions of variables -- _tTesting simple hypotheses using the f test -- _tTesting for interaction in multiple regression -- _tNonlinear relationships and variable transformations -- _tRegression analysis with dummy variables -- _tOne-way analysis of variance using the regression model -- _tTwo-way analysis of variance using the regression model -- _tTesting for interaction in analysis of variance -- _tAnalysis of covariance using the regression model -- _tInterpreting interaction in analysis of covariance -- _tStructural equation models and path analysis -- _tComputing direct and total effects of variables -- _tModel specification in regression analysis -- _tInfluential cases in regression analysis -- _tProblem of multicollinearity -- _tAssumptions of ordinary least-squares estimation -- _tBeyond ordinary regression analysis.
588	0		_aPrint version record.
590			_aOCLC _bWorldCat Holdings
590			_aeBooks on EBSCOhost _bAll EBSCO eBooks
650		0	_aRegression analysis.
650		0	_aStatistics.
650		0	_aMatrices.
650		0	_aStructural equation modeling.
650		7	_aMATHEMATICS _xProbability & Statistics _xRegression Analysis. _2bisacsh
650		7	_aMatrices. _2fast _0(OCoLC)fst01012399
650		7	_aRegression analysis. _2fast _0(OCoLC)fst01432090
650		7	_aStatistics. _2fast _0(OCoLC)fst01132103
650		7	_aStructural equation modeling. _2fast _0(OCoLC)fst01738928
655		4	_aElectronic books.
776	0	8	_iPrint version: _aAllen, Michael Patrick. _tUnderstanding regression analysis. _dNew York : Plenum Press, �1997 _z0306456486 _w(DLC) 97020373 _w(OCoLC)36892856
856	4	0	_uhttp://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=34594
938			_aEBL - Ebook Library _bEBLB _nEBL219531
938			_aebrary _bEBRY _nebr10218010
938			_aEBSCOhost _bEBSC _n34594
938			_aProQuest MyiLibrary Digital eBook Collection _bIDEB _ncis23712460
938			_aYBP Library Services _bYANK _n2756824
994			_a92 _bGRPAT
999			_c138681 _d138681