LEADER 05368nam 2200661Ia 450 001 9910139790503321 005 20170925025252.0 010 $a1-282-13750-6 010 $a9786612137501 010 $a0-470-46695-2 010 $a0-470-46694-4 035 $a(CKB)1000000000786359 035 $a(EBL)448957 035 $a(OCoLC)430352114 035 $a(SSID)ssj0000250422 035 $a(PQKBManifestationID)11191491 035 $a(PQKBTitleCode)TC0000250422 035 $a(PQKBWorkID)10232378 035 $a(PQKB)11178028 035 $a(MiAaPQ)EBC448957 035 $a(EXLCZ)991000000000786359 100 $a20081024d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStage-wise adaptive designs$b[electronic resource] /$fShelemyahu Zacks 210 $aHoboken, NJ $cJohn Wiley & Sons$dc2009 215 $a1 online resource (411 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 $a0-470-05095-0 320 $aIncludes bibliographical references and indexes. 327 $aStage-Wise Adaptive Designs; CONTENTS; Preface; 1 Synopsis; 1.1 Multistage and Sequential Estimation; 1.2 Adaptive Designs for Generalized Linear Models; 1.3 Adaptive Methods for Sampling from Finite Populations; 1.4 Adaptive Prediction and Forecasting in Time Series Analysis; 1.5 Adaptive Search of an MTD in Cancer Phase I Clinical Trials; 1.6 Adaptive and Sequential Procedures in Phase III Clinical Trials; 1.7 Sequential Allocation of Resources; 1.8 Sequential Detection of Change Points; 1.9 Sequential Methods in Industrial Testing, Reliability, and Design of Experiments 327 $a2 Multistage and Sequential Estimation2.1 Stein's Two-Stage Procedure; 2.2 Modifications to Attain Asymptotic Efficiency; 2.3 Two-Stage Sampling from Exponential Distributions; 2.3.1 Fixed-Width Confidence Interval for the Location Parameter of an Exponential Distribution; 2.3.2 Two-Stage Sampling for a Bounded Risk Point Estimation of the Exponential Parameter; 2.4 Sequential Fixed-Width Interval Estimation; 2.5 Distributions of Stopping Variables of Sequential Sampling; 2.5.1 General Theory; 2.5.2 Characteristics of Ray's Procedure; 2.5.3 Risk of Some Sequential Point Estimators 327 $a2.6 Sequential Fixed-Width Intervals for the Log-Odds in Bernoulli Trials2.6.1 Problem; 2.6.2 Distribution of N(?); 2.6.3 Functionals of Pn(?); 2.7 Bayesian Sequential Estimation; 2.7.1 General Theory; 2.7.2 Estimating the Scale Parameter of the Exponential Distribution; 3 Adaptive Designs for Generalized Linear Models; 3.1 Exponential Example; 3.2 Adaptive Designs for the Fisher Information; 3.3 Adaptive Bayesian Designs; 3.4 Adaptive Designs for Inverse Regression; 3.4.1 Non-Bayesian Adaptive Designs; 3.4.2 Bayesian Adaptive Designs, ? Known; 3.5 Stochastic Approximation 327 $a4 Adaptive Methods for Sampling from Finite Populations4.1 Basic Theory; 4.1.1 Design Approach; 4.1.2 Modeling Approach; 4.2 Two-Stage and Sequential Estimation of the Population Mean; 4.2.1 Design Approach: SRSWR; 4.2.2 Design Approach: SRSWOR; 4.2.3 Modeling Approach; 4.3 Adaptive Allocation of Stratified SRS; 4.3.1 Basic Theory; 4.3.2 Two-Stage Procedure for a Fixed-Width Interval Estimation of Yn Under Stratified Sampling; 4.4 Adaptive Search for Special Units; 4.5 Adaptive Estimation of the Size of a Finite Population; 4.6 Applications in Software Reliability 327 $a4.6.1 Sequential Stopping for Time Domain Models4.6.2 Sequential Stopping for Data Domain Models; 4.7 Sampling Inspection Schemes; 4.7.1 Two-Stage Sampling for Attributes; 4.7.2 Sequential Sampling for Attributes; 4.8 Dynamic Bayesian Prediction; 5 Adaptive Prediction and Forecasting in Time Series Analysis; 5.1 Basic Tools of Time Series Analysis; 5.2 Linear Predictors for Covariance Stationary T.S.; 5.2.1 Optimal Linear Predictors; 5.2.2 Minimal PMSE Predictors for AR(p) T.S.; 5.2.3 Prediction with Unknown Covariance Structure; 5.2.4 ARIMA Forecasting 327 $a5.3 Quadratic LSE Predictors for Nonstationary T.S. 330 $aAn expert introduction to stage-wise adaptive designs in all areas of statistics Stage-Wise Adaptive Designs presents the theory and methodology of stage-wise adaptive design across various areas of study within the field of statistics, from sampling surveys and time series analysis to generalized linear models and decision theory. Providing the necessary background material along with illustrative S-PLUS functions, this book serves as a valuable introduction to the problems of adaptive designs. The author begins with a cohesive introduction to the subject and goes on to conc 410 0$aWiley series in probability and statistics. 606 $aMedicine$xResearch$xStatistical methods 606 $aMedical statistics 606 $aStatistics 608 $aElectronic books. 615 0$aMedicine$xResearch$xStatistical methods. 615 0$aMedical statistics. 615 0$aStatistics. 676 $a610.72 700 $aZacks$b Shelemyahu$f1932-$012451 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139790503321 996 $aStage-wise adaptive designs$92232534 997 $aUNINA