LEADER 03432nam 22006375 450 001 9911001462803321 005 20260128100017.0 010 $a981-9620-04-X 024 7 $a10.1007/978-981-96-2004-3 035 $a(CKB)38753731200041 035 $a(DE-He213)978-981-96-2004-3 035 $a(MiAaPQ)EBC32086619 035 $a(Au-PeEL)EBL32086619 035 $a(EXLCZ)9938753731200041 100 $a20250506d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDirectional and Multivariate Statistics $eA Volume in Honour of Ashis SenGupta /$fedited by Somesh Kumar, Barry C. Arnold, Kunio Shimizu, Arnab Kumar Laha 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (XXVI, 474 p. 87 illus., 54 illus. in color.) 311 08$a981-9620-03-1 327 $aChapter 1 Circular Data Diagnostics in Regression and Time Series Models -- Chapter 2 The Weighting Approach on the Circle -- Chapter 3 Isotonic Regression Estimators for Simultaneous Estimation of Order Restricted Location/Scale Parameters of a Bivariate Distribution: A Unified Study. 330 $aThis book contains select chapters on a range of topics in directional statistics, multivariate statistical inference, financial statistics, statistical machine learning and reliability inference. At the 43rd Annual Convention of the Indian Society for Probability and Statistics (ISPS) held in Prayagraj (formerly Allahabad), Uttar Pradesh, India, from 6?8 February 2024, attribute was paid to Prof. Ashis SenGupta on the occasion of his 70th birthday. He has pioneered research on directional statistics in the modern era in India and enhanced it worldwide and contributed significantly to the advancement of the following topics: Highly flexible distributions on manifolds Statistical machine learning in data science Big data on manifolds Optimal multiparameter, multivariate statistical inference Reliability inference and stress-dependent-strength models Directional statistics for highly volatile financial models Cylindrical, spherical and toroidal regression analysis Innovative applications of emerging real-life directional data. 606 $aMultivariate analysis 606 $aBig data 606 $aMachine learning 606 $aMultivariate Analysis 606 $aBig Data 606 $aMachine Learning 606 $aAnàlisi multivariable$2thub 606 $aEstadística$2thub 608 $aLlibres electrònics$2thub 615 0$aMultivariate analysis. 615 0$aBig data. 615 0$aMachine learning. 615 14$aMultivariate Analysis. 615 24$aBig Data. 615 24$aMachine Learning. 615 7$aAnàlisi multivariable 615 7$aEstadística 676 $a519.535 702 $aSomesh Kumar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aArnold$b Barry C$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aShimizu$b Kunio$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLaha$b Arnab Kumar$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911001462803321 996 $aDirectional and Multivariate Statistics$94384261 997 $aUNINA