000 | 03242pam a22004811i 4500 | ||
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001 | 0074277 | ||
003 | BD-SySUS | ||
005 | 20200913101619.0 | ||
006 | m || d | | ||
007 | cr ||||||||||| | ||
008 | 140714s2014 flua o| 001 0 eng|d | ||
015 |
_aGBB479109 _2bnb |
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020 |
_a9781482256222 (ePub ebook) : _c£57.99 |
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020 |
_z9781466567283 (hbk.) : _c£57.99 |
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020 |
_a9781466567290 (PDF ebook) : _c£57.99 |
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020 |
_a9781482256215 (VitalBook ebook) : _c£57.99 |
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035 | _a(Uk)016803065 | ||
037 |
_aTANDF_282123 _bIngram Content Group |
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040 |
_aStDuBDS _beng _erda _epn _cStDuBDS _dUk |
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042 | _aukblsr | ||
082 | 0 | 4 |
_a519.535 _223 _bKOI |
100 | 1 |
_aKonishi, Sadanori, _eauthor. _936523 |
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245 | 1 | 0 |
_aIntroduction to multivariate analysis : _blinear and nonlinear modeling / _cSadanori Konishi. |
250 | _a1st | ||
264 | 1 |
_aBoca Raton : _bChapman & Hall/CRC, _c2014. |
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300 |
_axxv, 312 p. : _bill. ; _c22 cm. |
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336 |
_atext _2rdacontent |
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_astill image _2rdacontent |
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_acomputer _2rdamedia |
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_aonline resource _2rdacarrier |
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490 | 0 | _aChapman & Hall/CRC texts in statistical science series | |
500 | _aAcademic | ||
504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _aIntroduction; Regression Modeling; Classification and Discrimination; Dimension Reduction; Clustering Linear Regression Models; Relationship between Two Variables; Relationships Involving Multiple Variables; Regularization Nonlinear Regression Models; Modeling Phenomena; Modeling by Basis Functions; Basis Expansions; Regularization Logistic Regression Models; Risk Prediction Models; Multiple Risk Factor Models; Nonlinear Logistic Regression Models Model Evaluation and Selection; Criteria Based on Prediction Errors; Information Criteria; Bayesian Model Evaluation Criterion Discriminant Analysis; Fisher’s Linear Discriminant Analysis; Classification Based on Mahalanobis Distance; Variable Selection; Canonical Discriminant Analysis Bayesian Classification; Bayes’ Theorem; Classification with Gaussian Distributions; Logistic Regression for Classification Support Vector Machines; Separating Hyperplane; Linearly Nonseparable Case; From Linear to Nonlinear Principal Component Analysis; Principal Components; Image Compression and Decompression; Singular Value Decomposition; Kernel Principal Component Analysis Clustering; Hierarchical Clustering; Nonhierarchical Clustering; Mixture Models for Clustering Appendix A: Bootstrap Methods ; Appendix B: Lagrange Multipliers ; Appendix C: EM Algorithm Bibliography Index | |
506 | 1 |
_aLegal Deposit; _cOnly available on premises controlled by the deposit library and to one user at any one time; _eThe Legal Deposit Libraries (Non-Print Works) Regulations (UK). _5UkOxU |
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_aRestricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. _5UkOxU |
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588 | _aDescription based on CIP data; item not viewed. | ||
650 | 0 |
_aMultivariate analysis. _936524 |
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776 | 0 | 8 |
_iPrint version: _z9781466567283 |
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_2ddc _cBK |
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_c75475 _d75475 |