05440nam 22006734a 450 991045407850332120200520144314.01-281-95609-09786611956097981-279-670-3(CKB)1000000000537896(EBL)1679465(OCoLC)879023615(SSID)ssj0000137972(PQKBManifestationID)11148132(PQKBTitleCode)TC0000137972(PQKBWorkID)10118880(PQKB)10880789(MiAaPQ)EBC1679465(WSP)00005295(Au-PeEL)EBL1679465(CaPaEBR)ebr10255572(CaONFJC)MIL195609(EXLCZ)99100000000053789620031105d2003 uy 0engur|n|---|||||txtccrDevelopment of modern statistics and related topics[electronic resource] in celebration of Prof. Yaoting Zhang's 70th birthday /edited by Heping Zhang, Jian HuangRiver Edge, NJ World Scientific Pub. Co.c20031 online resource (301 p.)Series in biostatistics ;v. 1Description based upon print version of record.981-238-395-6 Includes bibliographical references.Contents ; 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 Results3. 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. Introduction2. 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 ; ReferencesEstimating 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 ; ReferencesAn 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 ; ReferencesLarge Deviations and Deviation Inequality for Kernel Density Estimator in L1(RD)-distance 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 linkSeries in biostatistics ;v. 1.StatisticsElectronic books.Statistics.519.5Zhang Yaoting1933-965098Zhang Heping140074Huang Jian430565MiAaPQMiAaPQMiAaPQBOOK9910454078503321Development of modern statistics and related topics2189544UNINA