LEADER 03353nam 22005415 450 001 996418269903316 005 20200703070356.0 010 $a981-13-2616-9 024 7 $a10.1007/978-981-13-2616-5 035 $a(CKB)4100000011321553 035 $a(MiAaPQ)EBC6238665 035 $a(DE-He213)978-981-13-2616-5 035 $a(PPN)248593315 035 $a(EXLCZ)994100000011321553 100 $a20200628d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNon-Asymptotic Analysis of Approximations for Multivariate Statistics$b[electronic resource] /$fby Yasunori Fujikoshi, Vladimir V. Ulyanov 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (133 pages) 225 1 $aJSS Research Series in Statistics,$x2364-0057 311 $a981-13-2615-0 320 $aIncludes bibliographical references. 327 $a1. Introduction -- 2. Correlation Coefficient -- 3. MANOVA Test Statistics -- 4. Linear and Quadratic Discriminant Functions -- 5. Bootstrap Confidence Sets -- 6. Gaussian Comparison -- 7. Cornish-Fisher Expansions -- 8 Approximations for Statistics Based on Random Sample Sizes -- 9. Power-divergence Statistics -- 10.General Approach to Construct Non-asymptotic Bounds -- 11 - Other Topics -- Index. 330 $aThis book presents recent non-asymptotic results for approximations in multivariate statistical analysis. The book is unique in its focus on results with the correct error structure for all the parameters involved. Firstly, it discusses the computable error bounds on correlation coefficients, MANOVA tests and discriminant functions studied in recent papers. It then introduces new areas of research in high-dimensional approximations for bootstrap procedures, Cornish?Fisher expansions, power-divergence statistics and approximations of statistics based on observations with random sample size. Lastly, it proposes a general approach for the construction of non-asymptotic bounds, providing relevant examples for several complicated statistics. It is a valuable resource for researchers with a basic understanding of multivariate statistics. . 410 0$aJSS Research Series in Statistics,$x2364-0057 606 $aStatistics  606 $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aApplied Statistics$3https://scigraph.springernature.com/ontologies/product-market-codes/S17000 615 0$aStatistics . 615 14$aStatistical Theory and Methods. 615 24$aStatistics and Computing/Statistics Programs. 615 24$aApplied Statistics. 676 $a519.535 700 $aFujikoshi$b Yasunori$4aut$4http://id.loc.gov/vocabulary/relators/aut$0618912 702 $aUlyanov$b Vladimir V$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996418269903316 996 $aNon-Asymptotic Analysis of Approximations for Multivariate Statistics$92351475 997 $aUNISA