LEADER 02487nam  22005535  450 
001 9910300100903321
005 20250409111948.0
010   $a978-981-13-2248-8
010   $a981-13-2248-1
024 7 $a10.1007/978-981-13-2248-8
035   $a(CKB)4100000005958488
035   $a(DE-He213)978-981-13-2248-8
035   $a(MiAaPQ)EBC6314648
035   $a(PPN)229913326
035   $a(EXLCZ)994100000005958488
100   $a20180828d2018      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aU-Statistics, Mm-Estimators and Resampling /$fby Arup Bose, Snigdhansu Chatterjee
205   $a1st ed. 2018.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2018.
215   $a1 online resource (XV, 174 p.) 
225 1 $aTexts and Readings in Mathematics,$x2366-8725
311 08$a981-13-2247-3 
320   $aIncludes bibliographical references and index.
327   $aChapter 1. Introduction to U-statistics -- Chapter 2. M-estimators and U-statistics -- Chapter 3. Introduction to resampling -- Chapter 4. Resampling U-statistics and M-estimators -- Chapter 5. An Introduction to R.
330   $aThis is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It covers the basics of U-statistics and Mm-estimators and develops their asymptotic properties. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R.
410  0$aTexts and Readings in Mathematics,$x2366-8725
606   $aStatistics
606   $aMathematical statistics$xData processing
606   $aStatistical Theory and Methods
606   $aStatistics and Computing
615  0$aStatistics.
615  0$aMathematical statistics$xData processing.
615 14$aStatistical Theory and Methods.
615 24$aStatistics and Computing.
676   $a519.5
700   $aBose$b Arup$4aut$4http://id.loc.gov/vocabulary/relators/aut$0768007
702   $aChatterjee$b Snigdhansu$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910300100903321
996   $aU-Statistics, Mm-Estimators and Resampling$92205550
997   $aUNINA