000 | 01726pam a2200253 a 4500 | ||
---|---|---|---|
001 | vtls000005999 | ||
003 | VRT | ||
005 | 20250102223551.0 | ||
008 | 090315s1992 njua |b 001 0 eng | ||
020 | _a0130417734 | ||
039 | 9 |
_a201402040137 _bVLOAD _c201004120853 _dmalmash _c200903150920 _dvenkatrajand _y200903150919 _zvenkatrajand |
|
050 | 0 | 0 |
_aQA278 _b.J63 1992 |
100 | 1 |
_aJohnson, Richard Arnold. _925989 |
|
245 | 1 | 0 |
_aApplied multivariate statistical analysis / _cRichard A. Johnson, Dean W. Wichern. |
250 | _a3rd ed. | ||
260 |
_aEnglewood Cliffs, N.J. : _bPrentice Hall, _cc1992. |
||
300 |
_axiv, 642 p. : _bill. ; _c24 cm. |
||
504 | _aIncludes bibliographical references and indexes. | ||
505 | _aPart 1 Getting started: aspects of multivariate analysis; matrix algebra and random vectors; sample geometry and random sampling; the multivariate normal distribution. Part 2 Inferences about multivariate means and linear models: inferences about a mean vector; comparisons of several multivariate means; multivariate linear regression models. Part 3 Analysis of covariance structure: principal components; factor analysis and inference for structured covariance analysis; canonical correlation analysis. Part 4 Classification and grouping techniques: discrimination and classification; clustering. | ||
520 | _aAn updated edition, this book provides explanations of the results needed to understand output from the standard multivariate analysis computer packages and prepares readers to make proper interpretations, select appropriate techniques and understand their strengths and weaknesses | ||
650 | 0 |
_aMultivariate analysis. _925990 |
|
700 | 1 |
_aWichern, Dean W. _925991 |
|
942 |
_2lcc _n0 _cBK |
||
999 |
_c10831 _d10831 |