LEADER 02586nam 22005415 450 001 9910437874203321 005 20220404174623.0 010 $a3-642-40433-2 024 7 $a10.1007/978-3-642-40433-7 035 $a(CKB)3710000000024391 035 $a(EBL)1538896 035 $a(SSID)ssj0001049634 035 $a(PQKBManifestationID)11622871 035 $a(PQKBTitleCode)TC0001049634 035 $a(PQKBWorkID)11018887 035 $a(PQKB)11131913 035 $a(DE-He213)978-3-642-40433-7 035 $a(MiAaPQ)EBC1538896 035 $a(PPN)176114688 035 $a(EXLCZ)993710000000024391 100 $a20131017d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical decision theory /$fby Nicholas T. Longford 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (126 p.) 225 1 $aSpringerBriefs in Statistics,$x2191-544X 300 $aDescription based upon print version of record. 311 $a3-642-40432-4 320 $aIncludes bibliographical references and index. 327 $aPreface -- 1.Introduction -- 2.Estimating the Mean -- 3.Estimating the Variance -- 4.The Bayesian Paradigm -- 5.Data from other Distributions -- 6.Classification -- 7.Small-area Estimation -- 8.Study Design -- Index. 330 $aThis monograph presents a radical rethinking of how elementary inferences should be made in statistics, implementing a comprehensive alternative to hypothesis testing in which the control of the probabilities of the errors is replaced by selecting the course of action (one of the available options) associated with the smallest expected loss. Its strength is that the inferences are responsive to the elicited or declared consequences of the erroneous decisions, and so they can be closely tailored to the client?s perspective, priorities, value judgments and other prior information, together with the uncertainty about them. 410 0$aSpringerBriefs in Statistics,$x2191-544X 606 $aStatistics 606 $aStatistics, general$3https://scigraph.springernature.com/ontologies/product-market-codes/S0000X 615 0$aStatistics. 615 14$aStatistics, general. 676 $a519.5 676 $a519.542 700 $aLongford$b Nicholas T$4aut$4http://id.loc.gov/vocabulary/relators/aut$0104931 906 $aBOOK 912 $a9910437874203321 996 $aStatistical Decision Theory$92532109 997 $aUNINA