LEADER 03066nam 2200625Ia 450 001 9910830949803321 005 20220218125749.0 010 $a1-280-26492-6 010 $a9786610264926 010 $a0-470-34190-4 010 $a0-471-65406-X 010 $a0-471-72118-2 035 $a(CKB)111087027106960 035 $a(EBL)219004 035 $a(OCoLC)192099132 035 $a(SSID)ssj0000155284 035 $a(PQKBManifestationID)11152877 035 $a(PQKBTitleCode)TC0000155284 035 $a(PQKBWorkID)10112750 035 $a(PQKB)10082301 035 $a(MiAaPQ)EBC219004 035 $a(PPN)190600756 035 $a(EXLCZ)99111087027106960 100 $a20000602d2000 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFinite mixture models$b[electronic resource] /$fGeoffrey McLachlan, David Peel 210 $aNew York $cWiley$dc2000 215 $a1 online resource (450 p.) 225 1 $aWiley series in probability and statistics. Applied probability and statistics section 300 $aDescription based upon print version of record. 311 $a0-471-00626-2 320 $aIncludes bibliographical references (p. 349-393) and indexes. 327 $aContents; Preface; 1 General Introduction; 2 ML Fitting of Mixture Models; 3 Multivariate Normal Mixtures; 4 Bayesian Approach to Mixture Analysis; 5 Mixtures with Nonnormal Components; 6 Assessing the Number of Components in Mixture Models; 7 Multivariate t Mixtures; 8 Mixtures of Factor Analyzers; 9 Fitting Mixture Models to Binned Data; 10 Mixture Models for Failure-Time Data; 11 Mixture Analysis of Directional Data; 12 Variants of the EM Algorithm for Large Databases; 13 Hidden Markov Models; Appendix: Mixture Software; References; Author Index; Subject Index 330 $aAn up-to-date, comprehensive account of major issues in finite mixture modelingThis volume provides an up-to-date account of the theory and applications of modeling via finite mixture distributions. With an emphasis on the applications of mixture models in both mainstream analysis and other areas such as unsupervised pattern recognition, speech recognition, and medical imaging, the book describes the formulations of the finite mixture approach, details its methodology, discusses aspects of its implementation, and illustrates its application in many common statistical contexts.Major iss 410 0$aWiley series in probability and statistics.$pApplied probability and statistics. 606 $aMixture distributions (Probability theory) 606 $aMathematics 615 0$aMixture distributions (Probability theory) 615 0$aMathematics. 676 $a519 676 $a519.2 676 $a519.532 700 $aMcLachlan$b Geoffrey J.$f1946-$027687 701 $aPeel$b David$f1971-$0437642 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830949803321 996 $aFinite mixture models$965233 997 $aUNINA