000			02831nam a2200325 i 4500
001			47409
008			051220s2014 enka b 001 0 eng
020			_a9781292021317 _q(paperback)
020			_a1292021314 _q(paperback)
035			_a(OCoLC)
040			_aDLC _beng _cDLC _dYDXCP _dBAKER _dMUQ _dOCLCQ _dBTCTA _dUBA _dTTU _dXTL _dAGL _dUQ1 _dTEX _dNCECU _dHEBIS _dDEBBG _dCHVBK _dUKM _dOCL _dDEBSZ _dBDX _dFER _dOHS _dOCLCF _dBAUN _erda
049			_aBAUN_MERKEZ
050	0	0	_aQA278 _b.T3 2014
082	0	0	_222
100	1		_aTabachnick, Barbara G., _d1936-
245	1	0	_aUsing multivariate statistics / _cBarbara G. Tabachnick, Linda S. Fidell
250			_aSixth edition/ Pearson new international edition.
264		1	_aHarlow : _bPearson Education Limited , _c[2014]
264		4	_c©2014
300			_a1066 pages : _billustrations ; _c25 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index
505	0	0	_t-- 1. Introduction _t-- 2. A guide to statistical techniques : Using the book _t-- 3. Review of univariate and bivariate statistics _t-- 4. Cleaning up your act: screening data prior to analysis _t-- 5. Multiple regression _t-- 6. Canonical correlation _t-- 7. Multiway frequency analysis _t-- 8. Analysis of Covariance _t-- 9. Multivariate analysis of variance and covariance _t-- 10. Profile analysis : the multivariate approach to repeated measures _t-- 11. Discriminant function analysis _t-- 12. Logistic regression _t-- 13. Principal components and factor analysis _t-- 14. Structural equation modeling _r/ Jodie B. Ullman _t-- 15. Survival/failure analysis _t-- 16. Time-series analysis _t-- 17. An overview of the general linear model-- Appendix A : A skimpy introduction to matrix algebra _t-- Appendix B : Research designs for complete Examples _t-- Appendix C : Statistical tables
520			_a"This text takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and multivariate techniques. Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the most recent releases of SAS and SPSS. The book maintains its practical approach, still focusing on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Overall, it provides advanced students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics."--Publisher's Web site
650		0	_aMultivariate analysis
700	1		_aFidell, Linda S
942			_2lcc _cKT
999			_c50222 _d50222