LEADER 00905nam0 22002651i 450 001 UON00233784 005 20231205103514.847 010 $a86-401-0130-2 100 $a20030730d1991 |0itac50 ba 101 $ahbs 102 $aHR 105 $a|||| ||||| 200 1 $aCrna kazaljka$fVlado Gotovac 210 $aZagreb$cZavod Matice Hrvatske$d1991 215 $a71 p.$d20 cm. 620 $aHR$dZagreb$3UONL001976 676 $a891.82$cLetteratura serbo-croata$v21 700 1$aGOTOVAC$bVlado$3UONV141719$0687692 712 $aMatica Hrvatska$3UONV260225$4650 801 $aIT$bSOL$c20250620$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00233784 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI CROATO A 0316 $eSI EO 23589 5 0316 996 $aCrna kazaljka$91233098 997 $aUNIOR LEADER 05672nam 22007454a 450 001 9911020255603321 005 20200520144314.0 010 $a9786610448012 010 $a9781280448010 010 $a1280448016 010 $a9780470360552 010 $a0470360550 010 $a9780471773757 010 $a0471773751 010 $a9780471773740 010 $a0471773743 035 $a(CKB)1000000000355586 035 $a(EBL)257208 035 $a(OCoLC)71522917 035 $a(SSID)ssj0000258240 035 $a(PQKBManifestationID)11194633 035 $a(PQKBTitleCode)TC0000258240 035 $a(PQKBWorkID)10255213 035 $a(PQKB)11004198 035 $a(MiAaPQ)EBC257208 035 $a(Perlego)2786263 035 $a(EXLCZ)991000000000355586 100 $a20050622d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aTheory of preliminary test and Stein-type estimation with applications /$fA.K. Md. Ehsanes Saleh 210 $aHoboken, NJ $cWiley-Interscience$dc2006 215 $a1 online resource (656 p.) 225 1 $aWiley Series in Probability and Statistics ;$vv.517 300 $aDescription based upon print version of record. 311 08$a9780471563754 311 08$a0471563757 320 $aIncludes bibliographical references (p. 601-612) and indexes. 327 $aTheory of Preliminary Test and Stein-Type Estimation with Applications; Contents; List of Figures; List of Figures; List of Tables; List of Tables; Preface; 1 Introduction; 1.1.1 Batting averages of 18 players; 1.1 Display of predicted batting averages based on Stein's formula; 1.1 Objective of This Book; 1.2 Statistical Decision Principle; 1.3 Quadratic Loss Function; 1.4 Some Statistical Models with Preliminaries; 1.4.1 Mean and Simple Linear Models; 1.4.2 One-Sample Multivariate Model; 1.4.3 ANOVA Models; 1.4.4 Parallelism Models 327 $a1.4.5 Multiple Regression Model and General Linear Hypothesis1.4.6 Simple Multivariate Linear Model; 1.4.7 Discrete Data Models; 1.5 Organization of the Book; 1.6 Conclusions; 1.7 Problems; 2 Preliminaries; 2.1 Normal Distribution; 2.2 Chi-square Distribution and Properties; 2.3 Some Results from Multivariate Normal Theory; 2.4 Beta Distribution and Applications; 2.5 Discrete Distributions; 2.5.1 Binomial Distribution; 2.5.2 Multinomial Distribution; 2.6 Matrix Results; 2.7 Large Sample Theory; 2.7.1 Four Types of Convergence; 2.7.2 Law of Large Numbers; 2.7.3 Central Limit Theorems 327 $a2.8 Nonparametric Theory: Preliminaries2.8.1 Order-Statistics, Ranks, and Sign Statistics; 2.8.2 Linear rank-statistics (LRS); 2.8.3 Rank Estimators of the Parameters of Various Models; 2.9 Problems; 3 Preliminary Test Estimation; 3.1 Simple Linear Model, Estimators, and Tests; 3.1.1 Simple Linear Model; 3.1.2 Estimation of the Intercept and Slope Parameter; 3.1.3 Test for the Slope Parameter; 3.2 PTE of the Intercept Parameter; 3.2.1 UE, RE and PTE of the Intercept Parameter; 3.2.2 Bias and MSE Expressions; 3.2.3 Comparison of bias and mse functions 327 $a3.2.1 Graph of quadratic bias functions of the estimators3.2.4 Optimum Level of Significance of Preliminary Test; 3.2.2 Graph of MRE(tn; tn) and MRE(tPTn; tn); 3.2.1 Maximum and Minimum Guaranteed Efficiencies for n = 8; 3.2.2 Maximum and Minimum Guaranteed Efficiencies for n = 12 and x2/Q = 0.1(0.2)0.9; 3.3 Two-Sample Problem and Pooling of Means; 3.3.1 Model; 3.3.2 Estimation and Test of the Difference between Two Means; 3.3.3 Bias and mse Expression of the Three Estimators of a Mean; 3.3.1 Maximum and Minimum Guaranteed Efficiencies; 3.3.2 Maximum and Minimum Guaranteed Efficiencies 327 $a3.3.3 Maximum and Minimum Guaranteed Efficiencies3.4 One-Sample Problem: Estimation of Mean; 3.4.1 Model; 3.4.2 Unrestricted, Restricted, and Preliminary Test Estimators; 3.3.1 Graph of MRE (m1; m1) and MRE(mPT1; m1); 3.4.3 Bias, mse, and Analysis of Efficiency; 3.5 An Alternative Approach; 3.5.1 Introduction; 3.4.1 Minimum and Maximum Efficiency of PTE; 3.5.2 One-Sample Problem; 3.5.3 Comparison of PTE, tPTn and SE tSn; 3.5.1 Maximum and Minimum Efficiencies of SE and Efficiency of PTE at D0 for Selected a; 3.5.4 Simple Linear Model and Shrinkage Estimation 327 $a3.5.1 Graph of the relative efficiency of SE and PTE for different values of a 330 $aTheory of Preliminary Test and Stein-Type Estimation with Applications provides a com-prehensive account of the theory and methods of estimation in a variety of standard models used in applied statistical inference. It is an in-depth introduction to the estimation theory for graduate students, practitioners, and researchers in various fields, such as statistics, engineering, social sciences, and medical sciences. Coverage of the material is designed as a first step in improving the estimates before applying full Bayesian methodology, while problems at the end of each chapter enlarge the scope 410 0$aWiley Series in Probability and Statistics 606 $aParameter estimation 606 $aRegression analysis 606 $aBayesian statistical decision theory 615 0$aParameter estimation. 615 0$aRegression analysis. 615 0$aBayesian statistical decision theory. 676 $a519.5/44 676 $a519.544 700 $aSaleh$b A. K. Md. Ehsanes$0150888 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911020255603321 996 $aTheory of preliminary test and Stein-type estimation with applications$9245973 997 $aUNINA LEADER 01787oam 2200457zu 450 001 9911020467203321 005 20210807004630.0 010 $a1-118-66780-8 035 $a(CKB)3450000000004182 035 $a(SSID)ssj0000815364 035 $a(PQKBManifestationID)11974366 035 $a(PQKBTitleCode)TC0000815364 035 $a(PQKBWorkID)10805620 035 $a(PQKB)11638905 035 $a(NjHacI)993450000000004182 035 $a(PPN)189280824 035 $a(EXLCZ)993450000000004182 100 $a20160829d1989 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aGuide to Geology of the Cascade Range 210 31$a[Place of publication not identified]$cAmerican Geophysical Union$d1989 215 $a1 online resource (215 pages) $cillustrations 225 1 $aField trip guidebook (International Geological Congress (28th : 1989 : Washington, D.C.)) ;$vT306 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-87590-699-0 330 $aPublished by the American Geophysical Union as part of the Field Trip Guidebooks Series, Volume 306. 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