LEADER 03085nam 2200601 a 450 001 9910139608903321 005 20230725051051.0 010 $a1-283-24646-5 010 $a9786613246462 010 $a0-470-53987-9 010 $a0-470-53986-0 035 $a(CKB)2550000000045431 035 $a(EBL)698785 035 $a(OCoLC)751970345 035 $a(SSID)ssj0000544345 035 $a(PQKBManifestationID)11332807 035 $a(PQKBTitleCode)TC0000544345 035 $a(PQKBWorkID)10536138 035 $a(PQKB)11230263 035 $a(MiAaPQ)EBC698785 035 $a(EXLCZ)992550000000045431 100 $a20090428d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMultivariate statistics$b[electronic resource] $ehigh-dimensional and large-sample approximations /$fYasunori Fujikoshi, Vladimir V. Ulyanov, Ryoichi Shimizu 210 $aHoboken, N.J. $cWiley$dc2010 215 $a1 online resource (564 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 $a0-470-41169-4 320 $aIncludes bibliographical references and index. 327 $aMultivariate normal and related distributions -- Wishart distribution -- Hotelling's Tē and lambda statistics -- Correlation coefficients -- Asymptotic expansions from multivariate basic statistics -- MANOVA models -- Multivariate regression -- Classical and high-dimensional tests for covariance matrices -- Discriminant analysis -- Principal component analysis -- Canonical correlation analysis -- Growth curve analysis --Approximation to the scale-mixted distributions -- Approximation to some related distributions -- Error bounds for approximations of multivariate tests -- Error bounds for approximations to some other statistics -- Appendix. 330 $aA comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by prominent researchers in the field, the book focuses on high-dimensional and large-scale approximations and details the many basic multivariate methods used to achieve high levels of accuracy. The authors begin with a fundamental presenta 410 0$aWiley series in probability and statistics. 606 $aMultivariate analysis 606 $aApproximation theory 615 0$aMultivariate analysis. 615 0$aApproximation theory. 676 $a519.5/35 676 $a519.535 700 $aFujikoshi$b Yasunori$f1942-$0618912 701 $aUlyanov$b Vladimir V.$f1953-$0855869 701 $aShimizu$b Ryoichi$f1931-$0855870 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139608903321 996 $aMultivariate statistics$91910727 997 $aUNINA