LEADER 05407nam 22006614a 450 001 9910782283403321 005 20230617040852.0 010 $a1-281-95609-0 010 $a9786611956097 010 $a981-279-670-3 035 $a(CKB)1000000000537896 035 $a(EBL)1679465 035 $a(OCoLC)879023615 035 $a(SSID)ssj0000137972 035 $a(PQKBManifestationID)11148132 035 $a(PQKBTitleCode)TC0000137972 035 $a(PQKBWorkID)10118880 035 $a(PQKB)10880789 035 $a(MiAaPQ)EBC1679465 035 $a(WSP)00005295 035 $a(Au-PeEL)EBL1679465 035 $a(CaPaEBR)ebr10255572 035 $a(CaONFJC)MIL195609 035 $a(EXLCZ)991000000000537896 100 $a20031105d2003 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aDevelopment of modern statistics and related topics$b[electronic resource] $ein celebration of Prof. Yaoting Zhang's 70th birthday /$fedited by Heping Zhang, Jian Huang 210 $aRiver Edge, NJ $cWorld Scientific Pub. Co.$dc2003 215 $a1 online resource (301 p.) 225 1 $aSeries in biostatistics ;$vv. 1 300 $aDescription based upon print version of record. 311 $a981-238-395-6 320 $aIncludes bibliographical references. 327 $aContents ; Preface ; An Interview with Professor Yaoting Zhang ; Growing Up ; Professor Paolu Hsu and Statistics ; During the 'Culture Revolution' ; After 'Culture Revolution' ; I am Proud of My Students ; Significance Level in Interval Mapping ; 1. Introduction ; 2. Known Results 327 $a3. A Combined Approximation 4. The Interval Mapping Process in the Gaussian Limit ; 5. Likelihood Ratio Transformation ; 6. Rice-Davies Approximation ; 7. Evaluation of (9) ; 8. Remarks ; References ; An Asymptotic Pythagorean Identity ; 1. Introduction 327 $a2. Pythagorean Identity for Variance Calculation 3. Examples ; 4. Remarks ; References ; A Monte Carlo Gap Test in Computing HPD Regions ; 1. Introduction ; 2. Current Monte Carlo Methods ; 3. Monte Carlo Gap Tests ; 4. A Simulation Study ; 5. Concluding Remarks ; References 327 $aEstimating Restricted Normal Means Using the EM-type Algorithms and IBF Sampling 1. Introduction ; 2. Nonproduct versus Product Parameter Space ; 3. Estimation When Variances Are Known ; 4. Estimation when variances are Unknown ; 5. Applications ; 6. Discussion ; References 327 $aAn Example of Algorithm Mining: Covariance Adjustment to Accelerate EM and Gibbs 1. An Overview ; 2. The Student-t Distribution ; 3. The EM Algorithm ; 4. The DA Algorithm ; 5. The PX-EM Algorithm ; 6. The PX-DA Algorithm ; 7. The CA-DA Algorithm ; 8. Discussion ; References 327 $aLarge Deviations and Deviation Inequality for Kernel Density Estimator in L1(RD)-distance 330 $a This book encompasses a wide range of important topics. The articles cover the following areas: asymptotic theory and inference, biostatistics, economics and finance, statistical computing and Bayesian statistics, and statistical genetics. Specifically, the issues that are studied include large deviation, deviation inequalities, local sensitivity of model misspecification in likelihood inference, empirical likelihood confidence intervals, uniform convergence rates in density estimation, randomized designs in clinical trials, MCMC and EM algorithms, approximation of p-values in multipoint link 410 0$aSeries in biostatistics ;$vv. 1. 606 $aStatistics 615 0$aStatistics. 676 $a519.5 701 $aZhang$b Yaoting$f1933-$01563176 701 $aZhang$b Heping$0140074 701 $aHuang$b Jian$0430565 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910782283403321 996 $aDevelopment of modern statistics and related topics$93831368 997 $aUNINA