000			01785cam a2200265 a 4500
001			0000062851
003			0001
008			131002s1997 njua b 001 0 eng
020			_a080582572X (pbk. : alk. paper)
020			_a0805825711 (alk. paper)
020			_a9780805825725
035			_9(DLC) 96046287
040			_aDLC _cDLC _dDLC
082	0	0	_a300.15195 _221
084			_a300.15195 _bMAR-M
100	1		_aMarcoulides, George A.
245	1	0	_aMultivariate statistical methods _h[Book] : _ba first course / _cGeorge A. Marcoulides, Scott L. Hershberger.
260			_aMahwah, N.J. : _bLawrence Erlbaum Associates, _c1997.
300			_axi, 322 p. : _bill. ; _c24 cm.
520			_aMultivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple variables or measures are involved. Any analysis of more than two variables or measures can loosely be considered a multivariate statistical analysis. An introductory text for students learning multivariate statistical methods for the first time, this book keeps mathematical details to a minimum while conveying the basic principles. One of the principal strategies used throughout the book—in addition to the presentation of actual data analyses—is pointing out the analogy between a common univariate statistical technique and the corresponding multivariate method. Many computer examples—drawing on SAS software —are used as demonstrations. .
650		0	_aSocial sciences _xStatistical methods.
650		0	_aMultivariate analysis _xData processing.
700	1		_aHershberger, Scott L.
852			_p46382 _94721.00 _h300.15195 MAR-M _vEagle Information Marketing _b2nd Floor _dBooks _t1 _q1-New _aJZL-CUI
999			_c75256 _d75256