LEADER 05171nam 2200685Ia 450 001 9910456864003321 005 20200520144314.0 010 $a1-282-44321-6 010 $a9786612443213 010 $a981-283-824-4 035 $a(CKB)2550000000000393 035 $a(EBL)477241 035 $a(OCoLC)647849546 035 $a(SSID)ssj0000411295 035 $a(PQKBManifestationID)11309175 035 $a(PQKBTitleCode)TC0000411295 035 $a(PQKBWorkID)10355867 035 $a(PQKB)11004010 035 $a(MiAaPQ)EBC477241 035 $a(WSP)00002106 035 $a(Au-PeEL)EBL477241 035 $a(CaPaEBR)ebr10361405 035 $a(CaONFJC)MIL244321 035 $a(EXLCZ)992550000000000393 100 $a20090127d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAdvances in multivariate statistical methods$b[electronic resource] /$feditor, Ashis SenGupta 210 $aNew Jersey $cWorld Scientific$dc2009 215 $a1 online resource (492 p.) 225 1 $aStatistical science and interdisciplinary research,$x1793-6195 ;$vv. 4 225 0 $aPlatinum jubilee series 300 $aDescription based upon print version of record. 311 $a981-283-823-6 320 $aIncludes bibliographical references. 327 $aForeword; Preface; Contents; 1. High-Dimensional Discrete Statistical Models: UIP, MCP and CSI in Perspectives P. K. Sen; 2. A Review of Multivariate Theory for High Dimensional Data with Fewer Observations M. S. Srivastava; 3. Model Based Penalized Clustering for Multivariate Data S. Ghosh and D. K. Dey; 4. Jacobians Under Constraints and Statistical Bioinformatics K. V. Mardia; 5. Cluster Validation for Microarray Data: An Appraisal V. Pihur, G. N. Brock and S. Datta; 6. Flexible Bivariate Circular Models B. C. Arnold and A. SenGupta 327 $a7. Optimal Text Space Representation of Student Essays Using Latent Semantic Analysis A. Villacorta and S. R. Jammalamadaka8. Linear Regression for Random Measures M. M. Rao; 9. Mixed Multivariate Models for Random Sums and Maxima T. J. Kozubowski, A. K. Panorska and F. Biondi; 10. Estimation of the Multivariate Box-Cox Transformation Parameters M. Rahman and L. M. Pearson; 11. Generation of Multivariate Densities R. N. Rattihalli and A. N. Basugade; 12. Smooth Estimation of Multivariate Distribution and Density Functions Y. P. Chaubey 327 $a13. Estimation Using Quantile Function Structure with Emphasis on Weibull Distribution G. D. Kollia, G. S. Mudholkar and D. K. Srivastava14. On Optimal Estimating Functions in the Presence of Nuisance Parameters P. Mukhopadhyay; 15. Inference in Exponential Family Regression Models Under Certain Shape Constraints M. Banerjee; 16. Study of Optimal Adaptive Rule in Testing Problem S. K. Bhandari, R. Dutta and R. G. Niyogi; 17. The G-IG Analogies and Robust Tests for Inverse Gaussian Scale Parameters G. S. Mudholkar, H. Wang and R. Natarajan 327 $a18. Clusterwise Regression Using Dirichlet Mixtures C. Kang and S. Ghosal19. Bayesian Analysis of Rank Data Using SIR A. K. Laha and S. Dongaonkar; 20. Bayesian Tests of Equality of Stratified Proportions for a Multiple Response Categorical Variable B. Nandram; 21. Respondent-Generated Intervals in Sample Surveys: A Summary S. J. Press and J. M. Tanur; 22. Quality Index and Mahalanobis D2 Statistic R. Dasgupta; 23. AQL Based Multiattribute Sampling Scheme A. Majumdar 327 $a24. Multivariate Quality Management in Terms of a Desirability Measure and a Related Result on Purchase Decision: A Distributional Study D. Roy25. Time Series of Categorical Data Using Auto-Mutual Information with Application of Fitting an AR(2) Model A. Biswas and A. Guha; 26. Estimation of Integrated Covolatility for Asynchronous Assets in the Presence of Microstructure Noise R. Sen and Q. Xu; 27. Improving the Hansen-Hurwitz Estimator in PPSWR Sampling A. K. Adhikary 330 $aThis volume contains a collection of research articles on multivariate statistical methods, encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. It serves as a tribute to Professor S N Roy, an eminent statistician who has made seminal contributions to the area of multivariate statistical methods, on his birth centenary. In the area of emerging applications, the topics include bioinformatics, categorical data and clinical trials, econometrics, longitudinal data analysis, microarray data analysis, sample surveys, statistical process control, et 410 0$aStatistical science and interdisciplinary research ;$vv. 4. 606 $aMultivariate analysis 606 $aStatistics 608 $aElectronic books. 615 0$aMultivariate analysis. 615 0$aStatistics. 676 $a519.5/35 701 $aSengupta$b A$g(Ashis)$0986032 712 02$aIndian Statistical Institute. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910456864003321 996 $aAdvances in multivariate statistical methods$92253757 997 $aUNINA