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100   $a19940523d1994      uy             0
101 0 $aeng
135   $aurnn#---|u||u
181   $ctxt
182   $cc
183   $acr
200 10$aParametric statistical theory$b[electronic resource] /$fJohann Pfanzagl, with the assistance of R. Hambo?ker
205   $aReprint 2011
210   $aBerlin ;$aNew York $cW. de Gruyter$d1994
215   $a1 online resource (388 p.)
225 0 $aDe Gruyter Textbook
300   $aDescription based upon print version of record.
311 0 $a3-11-013863-8 
311 0 $a3-11-014030-6 
320   $aIncludes bibliographical references (p. [345]-359) and indexes.
327   $tFront matter --$tChapter 1 Sufficiency and completeness --$tChapter 2 The evaluation of estimators --$tChapter 3 Mean unbiased estimators and convex loss functions --$tChapter 4 Testing hypotheses --$tChapter 5 Confidence procedures --$tChapter 6 Consistent estimators --$tChapter 7 Asymptotic distributions of estimator sequences --$tChapter 8 Asymptotic bounds for the concentration of estimators and confidence bounds --$tChapter 9 Miscellaneous results on asymptotic distributions --$tChapter 10 Asymptotic test theory --$tReferences --$tAuthor Index --$tSubject Index --$tNotation Index
330   $aParametric Statistical Theory
410  3$aDe Gruyter Textbook
606   $aMathematical statistics
606   $aMathematics
608   $aElectronic books.
615  0$aMathematical statistics.
615  0$aMathematics.
676   $a519.5/4
700   $aPfanzagl$b J$g(Johann)$049812
701   $aHambo?ker$b R$0411211
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910462516803321
996   $aParametric statistical theory$92477223
997   $aUNINA