LEADER 01481nam2-2200445---450 001 990000831740203316 005 20210329102811.0 010 $a0940450062 035 $a0083174 035 $aUSA010083174 035 $a(ALEPH)000083174USA01 035 $a0083174 100 $a20020102d1982----||ita|01 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 200 1 $aNovels and social writings$eThe people of the abyss, The road, The iron heel, Martin Eden, John Barleycorn, Essays$fJack London$g[a cura di Donald Pizer] 210 $aNew York$cThe literary classics of the United states$dc1982. 215 $a1192 p.$d21 cm 225 $aThe library of America$v7 410 1$1001000293107$12001$aThe library of America$v7 700 1$aLONDON,$bJack$0193071 702 1$aPIZER,$bDonald 801 0$aIT$bsalbc$gISBD 912 $a990000831740203316 951 $aVII.4. Coll. 1/ 114(II i B 973)$b106734 LM$cII i B 951 $aII.8.COLL.1/30$b2058 DSLL 959 $aBK 969 $aUMA 969 $aDSLL 979 $aPATTY$b90$c20020102$lUSA01$h1518 979 $c20020403$lUSA01$h1729 979 $aPATRY$b90$c20030904$lUSA01$h1303 979 $aPATRY$b90$c20030904$lUSA01$h1338 979 $aPATRY$b90$c20040406$lUSA01$h1657 979 $aCOPAT3$b90$c20050728$lUSA01$h1034 979 $aCOPAT5$b90$c20070413$lUSA01$h1014 979 $aDSLL$b90$c20080311$lUSA01$h1520 996 $aNovels and social writings$9180124 997 $aUNISA LEADER 05814nam 2200685 450 001 9910132350603321 005 20170810190648.0 010 $a1-118-85396-2 010 $a1-118-85392-X 010 $a1-118-85393-8 035 $a(CKB)3710000000251854 035 $a(EBL)1810511 035 $a(SSID)ssj0001348340 035 $a(PQKBManifestationID)11775629 035 $a(PQKBTitleCode)TC0001348340 035 $a(PQKBWorkID)11372227 035 $a(PQKB)11618509 035 $a(MiAaPQ)EBC1810511 035 $a(DLC) 2014011507 035 $a(CaSebORM)9781118853962 035 $a(PPN)192687441 035 $a(EXLCZ)993710000000251854 100 $a20141014h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical inference for models with multivariate t-distributed errors /$fA. K. Md. Ehsanes Saleh, M. Arashi, S. M. M. Tabatabaey 205 $a1st edition 210 1$aHoboken, New Jersey :$cJohn Wiley & Sons,$d2014. 210 4$dİ2014 215 $a1 online resource (275 p.) 300 $aDescription based upon print version of record. 311 $a1-322-19613-3 311 $a1-118-85405-5 320 $aIncludes bibliographical references and indexes. 327 $aCover; Title Page; Copyright Page; CONTENTS; List of Figures; List of Tables; Preface; Glossary; List of Symbols; 1 Introduction; 1.1 Objective of the Book; 1.2 Models under Consideration; 1.2.1 Location Model; 1.2.2 Simple Linear Model; 1.2.3 ANOVA Model; 1.2.4 Parallelism Model; 1.2.5 Multiple Regression Model; 1.2.6 Ridge Regression; 1.2.7 Multivariate Model; 1.2.8 Simple Multivariate Linear Model; 1.3 Organization of the Book; 1.4 Problems; 2 Preliminaries; 2.1 Normal Distribution; 2.2 Chi-Square Distribution; 2.3 Student''s t-Distribution; 2.4 F-Distribution 327 $a2.5 Multivariate Normal Distribution2.6 Multivariate t-Distribution; 2.6.1 Expected Values of Functions of M_t^(p)(? , ?^2V_p, ?o) - Variables; 2.6.2 Sampling Distribution of Quadratic Forms; 2.6.3 Distribution of Linear Functions of t-Variables; 2.7 Problems; 3 Location Model; 3.1 Model Specification; 3.2 Unbiased Estimates of ? and ?^2 and Test of Hypothesis; 3.3 Estimators; 3.4 Bias and MSE Expressions of the Location Estimators; 3.4.1 Analysis of the Estimators of Location Parameter; 3.5 Various Estimates of Variance; 3.5.1 Bias and MSE Expressions of the Variance Estimators 327 $a3.5.2 Analysis of the Estimators of the Variance Parameter3.6 Problems; 4 Simple Regression Model; 4.1 Introduction; 4.2 Estimation and Testing of ?; 4.2.1 Estimation of ?; 4.2.2 Test of Intercept Parameter; 4.2.3 Estimators of ? and ?; 4.3 Properties of Intercept Parameter; 4.3.1 Bias Expressions of the Estimators; 4.3.2 MSE Expressions of the Estimators; 4.4 Comparison; 4.4.1 Optimum Level of Significance of ?_n^PT; 4.5 Numerical Illustration; 4.6 Problems; 5 ANOVA; 5.1 Model Specification; 5.2 Proposed Estimators and Testing; 5.3 Bias, MSE, and Risk Expressions; 5.4 Risk Analysis 327 $a5.4.1 Comparison of ?_n and ?_n5.4.2 Comparison of ?_n_PT and ?_n(?_n); 5.4.3 Comparison of ?_n^S, ?_n , ?n, and ?_n^PT; 5.4.4 Comparison of ?_n^S and ?_n^S+; 5.5 Problems; 6 Parallelism Model; 6.1 Model Specification; 6.2 Estimation of the Parameters and Test of Parallelism; 6.2.1 Test of Parallelism; 6.3 Bias, MSE, and Risk Expressions; 6.3.1 Expressions of Bias, MSE Matrix, and Risks of ?_n, ?_n, ?_n, and ?_n; 6.3.2 Expressions of Bias, MSE Matrix, and Risks of the PTEs of ? and ?; 6.3.3 Expressions of Bias, MSE Matrix, and Risks of the SSEs of ? and ? 327 $a6.3.4 Expressions of Bias, MSE Matrix, and Risks of the PRSEs of ? and ?6.4 Risk Analysis; 6.5 Problems; 7 Multiple Regression Model; 7.1 Model Specification; 7.2 Shrinkage Estimators and Testing; 7.3 Bias and Risk Expressions; 7.3.1 Balanced Loss Function; 7.3.2 Properties; 7.4 Comparison; 7.5 Problems; 8 Ridge Regression; 8.1 Model Specification; 8.2 Proposed Estimators; 8.3 Bias, MSE, and Risk Expressions; 8.3.1 Biases of the Estimators; 8.3.2 MSE Matrices and Risks of the Estimators; 8.4 Performance of the Estimators; 8.4.1 Comparison between ?_n(k), ?_n^S(k), and ?_n^S+(k) 327 $a8.4.2 Comparison between ?_n (k) and ?_n^PT (k) 330 $a"This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors: Includes a wide array of applications for the analysis of multivariate observations Emphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematics Contains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topic Addresses linear regression models with non-normal errors with practical real-world examples Uniquely addresses regression models in Student's t-distributed errors and t-models Supplemented with an Instructor's Solutions Manual, which is available via written request by the Publisher "--$cProvided by publisher. 606 $aRegression analysis 606 $aMultivariate analysis 615 0$aRegression analysis. 615 0$aMultivariate analysis. 676 $a519.536 686 $aMAT029030$aMAT029010$aMAT029020$2bisacsh 700 $aSaleh$b A. K. Md. Ehsanes$0150888 702 $aArashi$b M. 702 $aTabatabaey$b S. M. M. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910132350603321 996 $aStatistical inference for models with multivariate t-distributed errors$91984568 997 $aUNINA LEADER 01414nas 2200409-a 450 001 996205362103316 005 20240413013645.0 035 $a(CKB)1000000000303548 035 $a(CONSER)--2005242080 035 $a(EXLCZ)991000000000303548 100 $a20050531a20029999 --- - 101 0 $aeng 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$a[Phi]news $ethe newsletter for philosophical logic and its applications 210 $aRoskilde, Denmark $cDanish Network for Philosophical Logic and Its Applications ;$aDordrecht, the Netherlands $cKluwer Academic 215 $a1 online resource 300 $aTitle represented by Greek letter Phi. 311 $aPrint version: Phinews (Roskilde, Denmark) (DLC) 2005242080 (OCoLC)60523394 1602-1444 517 3 $aPhi news 517 3 $aNewsletter for philosophical logic and its applications 606 $aLogic$vPeriodicals 606 $aPhilosophy$vPeriodicals 606 $aLogic$2fast$3(OCoLC)fst01002014 606 $aPhilosophy$2fast$3(OCoLC)fst01060777 608 $aPeriodicals.$2fast 615 0$aLogic 615 0$aPhilosophy 615 7$aLogic. 615 7$aPhilosophy. 712 02$aDanish Network for Philosophical Logic and Its Applications. 906 $aJOURNAL 912 $a996205362103316 920 $aexl_impl conversion 996 $aNews$91938909 997 $aUNISA