| 000 | 02003cam a22004817a 4500 | ||
|---|---|---|---|
| 001 | 20620 | ||
| 005 | 20230423231033.0 | ||
| 008 | 110221s2008 nyua b 001 0 eng | ||
| 020 | _a9780387781884 (hbk.) | ||
| 020 | _a0387781889 (hbk.) | ||
| 049 | _bPITLIB | ||
| 050 | 0 | 0 |
_aQA278 _b.I94 2008 |
| 100 | 1 |
_aIzenman, Alan Julian _928526 |
|
| 245 | 1 | 0 |
_aModern multivariate statistical techniques : _bregression, classification, and manifold learning / _cby Alan Julian Izenman _h[book] |
| 260 |
_aLondon : _aLondon : _bSpringer, _c2008. _94430 |
||
| 300 |
_axxv, 731 p. : _bill. |
||
| 440 | 0 |
_aSpringer texts in statistics _928527 |
|
| 449 | 0 | _a•x011– New Arrivals- Feb. 2011 | |
| 504 | _aIncludes bibliographical references (p. [667]-707) and indexes | ||
| 650 | 0 |
_aMultivariate analysis _918147 |
|
| 650 | 0 |
_aMultivariate analysis _vProblems, exercises, etc |
|
| 690 | 4 |
_a0049 สำนักการศึกษาทั่วไป _9132 |
|
| 942 | _cBK | ||
| 970 |
_l1. _tIntroduction and preview _pp. 1 |
||
| 970 |
_l2. _tData and databases _pp. 17 |
||
| 970 |
_l3. _tRandom vectors and matrices _pp. 45 |
||
| 970 |
_l4. _tNonparametric density estimation _pp. 75 |
||
| 970 |
_l5. _tModel assessment and selection in multiple regression _pp. 107 |
||
| 970 |
_l6. _tMultivariate regression _pp. 159 |
||
| 970 |
_l7. _tLinear dimensionality reduction _pp. 195 |
||
| 970 |
_l8. _tLinear discriminant analysis _pp. 237 |
||
| 970 |
_l9. _tRecursive partitioning and tree-based _pp. 281 |
||
| 970 |
_l10. _tArtificail neural networks _pp. 315 |
||
| 970 |
_l11. _tSupport vector machines _pp. 369 |
||
| 970 |
_l12. _tCluster analysis _pp. 407 |
||
| 970 |
_l13. _tMultidimensional scaling and distance geometry |
||
| 970 |
_l14. _tCommittee machines _pp. 505 |
||
| 970 |
_l15. _tLatent variable models for blind source separation _pp. 551 |
||
| 970 |
_l16. _tNonlinear dimensionality reduction _pp. 597 |
||
| 970 |
_l17. _tCorrespondence analysis _pp. 633 |
||
| 988 | _c20620 | ||
| 999 |
_c20620 _d20620 |
||