LEADER 03171nam 2200721Ia 450 001 9910961130403321 005 20200520144314.0 010 $a1-04-020464-3 010 $a0-429-13390-1 010 $a1-283-31148-8 010 $a9786613311481 010 $a1-4200-9966-3 024 7 $a10.1201/b10956 035 $a(CKB)2670000000122506 035 $a(EBL)1633203 035 $a(SSID)ssj0000546079 035 $a(PQKBManifestationID)11391364 035 $a(PQKBTitleCode)TC0000546079 035 $a(PQKBWorkID)10509898 035 $a(PQKB)11275703 035 $a(Au-PeEL)EBL1633203 035 $a(CaPaEBR)ebr10502499 035 $a(CaONFJC)MIL331148 035 $a(OCoLC)740912851 035 $a(OCoLC)759865776 035 $a(OCoLC)1289859176 035 $a(FINmELB)ELB140752 035 $a(MiAaPQ)EBC1633203 035 $a(EXLCZ)992670000000122506 100 $a20110630d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical inference $ethe minimum distance approach /$fAyanendranath Basu, Hiroyuki Shioya, Chanseok Park 205 $a1st ed. 210 $aBoca Raton, FL $cCRC Press$dc2011 215 $a1 online resource (424 p.) 225 1 $aMonographs on statistics and applied probability ;$v120 300 $aA Chapman & Hall book. 311 08$a1-4200-9965-5 320 $aIncludes bibliographical references. 327 $aFront Cover; Dedication; Contents; Preface; Acknowledgments; 1. Introduction; 2. Statistical Distances; 3. Continuous Models; 4. Measures of Robustness and Computational Issues; 5. The Hypothesis Testing Problem; 6. Techniques for Inlier Modification; 7. Weighted Likelihood Estimation; 8. Multinomial Goodness-of-Fit Testing; 9. The Density Power Divergence; 10. Other Applications; 11. Distance Measures in Information and Engineering; 12. Applications to Other Models; Bibliography 330 $aIn many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by ""Minimum Distance Estimation"" is literally huge. Filling a statistical resource gap, Statistical Inference: The Minimum Distance Approach comprehensively overviews developments in density-based minimum distance inference for independently and identically distributed data. Extensions to other more complex models are also discussed. Compr 410 0$aMonographs on statistics and applied probability ;$v120. 606 $aEstimation theory 606 $aDistances 615 0$aEstimation theory. 615 0$aDistances. 676 $a519.5/44 686 $aCOM000000$aMAT029000$2bisacsh 686 $aMAT 625f$2stub 700 $aBasu$b Ayanendranath$0517806 701 $aShioya$b Hiroyuki$0517807 701 $aPark$b Chanseok$0517808 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910961130403321 996 $aStatistical inference$9848753 997 $aUNINA LEADER 02601nam 22006254a 450 001 9911020169703321 005 20200520144314.0 010 $a9786610652105 010 $a9781119201779 010 $a1119201772 010 $a9781280652103 010 $a1280652101 010 $a9780470056271 010 $a0470056274 035 $a(CKB)1000000000354870 035 $a(EBL)275820 035 $a(OCoLC)82091796 035 $a(SSID)ssj0000199892 035 $a(PQKBManifestationID)12058786 035 $a(PQKBTitleCode)TC0000199892 035 $a(PQKBWorkID)10208862 035 $a(PQKB)10366939 035 $a(MiAaPQ)EBC275820 035 $a(Perlego)2771311 035 $a(EXLCZ)991000000000354870 100 $a20060511d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMeasure what matters to customers $eusing key predictive indicators /$fRonald J. Baker 210 $aHoboken, N.J. $cWiley$dc2006 215 $a1 online resource (210 p.) 300 $aDescription based upon print version of record. 311 08$a9780471752943 311 08$a0471752940 320 $aIncludes bibliographical references (p. 163-169) and index. 327 $aThe canary in the coal mine -- The economy of mind -- The old business equation -- The new business equation -- Pantometrists : counting for the sake of counting -- The gospel of efficiency -- All learning starts with theory -- Constructing a theory -- Pantometry versus theory -- Measures that matter -- Developing KPIs for your company -- Increasing knowledge worker effectiveness -- Managing by results versus managing by means -- Human capital, not cattle -- The moral hazards of measurements -- The dreamers versus the pantometrists. 330 $aMeasure What Matters to Customers reveals how to capitalize on Key Predictive Indicators (KPIs), the innovative measures that define the success of your enterprise as your customers do. If you want to increase your company's profits by working smarter, this is the book for you. 606 $aIntellectual capital 606 $aKnowledge management 606 $aSuccess in business 615 0$aIntellectual capital. 615 0$aKnowledge management. 615 0$aSuccess in business. 676 $a658.4/038 700 $aBaker$b Ronald J$g(Ronald Joseph),$f1962-$01606448 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911020169703321 996 $aMeasure what matters to customers$94418585 997 $aUNINA