Progress in applied statistics research / / M. Ahsanullah, editor

• Pubblicazione: New York, : Nova Science Publishers, c2009
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (279 p.)
• Disciplina: 519.5
• Soggetto topico: Statistics
• Altri autori: AhsanullahM (Mohammad)
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- PROGRESS IN APPLIED STATISTICSRESEARCH -- PROGRESS IN APPLIED STATISTICSRESEARCH -- CONTENTS -- PREFACE -- Chapter 1AN APPROXIMATE FAST BAYESIAN ALGORITHMFOR THE ANALYSIS AND FORECASTING OF THELOGNORMAL TIME SERIES -- Abstract -- 1. Introduction -- 2. The Standard Dynamic Linear Models -- The observation equation -- The state equation -- 3. Dynamic Generalized Linear Models -- 4. Conditional Independence Structure -- 5. Lognormal Dynamic Models -- 6. Validation -- 7. Conclusion -- References -- Chapter 2EFFICIENT UNIFORM DESIGNS FOR MIXTUREEXPERIMENTS IN THREE AND FOUR COMPONENTS∗ -- Abstract -- 1 Introduction -- 2 Uniform Designs and Uniformity Measures -- 3 Projection Designs -- 4 Optimality Criteria -- 5 Unconstrained Mixture Experiments -- 6 Constrained Mixture Experiments -- Acknowledgments -- Appendix A -- References -- Chapter 3DESIGN OF ACCELERATED LIFE TESTS FORPERIODIC INSPECTION WITH BURR TYPE IIIDISTRIBUTIONS: MODELS, ASSUMPTIONS ANDAPPLICATIONS -- Abstract -- 1. Introduction -- 2. The Model and Test Method -- Assumptions -- Test Method -- Standardization -- 3. Maximum Likelihood Estimation -- 4. Optimal Test Plans -- Sensitivity Analysis -- Sample Size Determination -- 5. Computational Results and Comparative Study -- 6. Test Procedure with Example -- Example -- 7. Conclusion -- References -- Chapter 4PARAMETER ESTIMATION USING CRESSIE-READDIVERGENCE MEASURES WITH EXPONENTIALGROUPED CENSORED DATA∗ -- Abstract -- 1 Introduction -- 2 Computational Results -- 3 Findings and Conclusions -- References -- Chapter 5ESTIMATING THE VARIANCE COMPONENTSOF ACCELERATED DEGRADATION MODELS∗ -- Abstract -- 1 Introduction -- 2 Model and Estimating the Fixed Effect Parameters -- 3 Estimating the Variance Components -- 4 Simulation Study -- 5 Results and Conclusions -- 6 Application -- References. ; Chapter 6ON THE RATIO OF THE SYMMETRIC DIFFERENCESOF ORDER STATISTICS -- Abstract -- 1. Introduction -- 2. Main Result -- References -- Chapter 7MEASURING THE SURFACE ROUGHNESS USINGTHE SPATIAL STATISTICS APPLICATION -- Abstract -- 1. Introduction and Notation -- 2. Spatial Statistics Analysis -- 3. Data Analysis -- 4. Conclusion -- References -- Chapter 8DIALLEL CROSSES WITH BLOCK SIZES THREE -- Abstract -- 1. Introduction -- 2. Method of Construction -- 3. Analysis -- 4. Complete Diallel Crosses Plan with Unequal Number of Lines -- 4.1. Method of Construction -- 4.2. Analysis -- 5. Partial Diallel Crosses -- 6. Conclusion -- Acknowledgements -- Appendix: Tables -- References -- Chapter 9ON CHARACTERIZING DISTRIBUTIONS BYCONDITIONAL EXPECTATIONS OF FUNCTIONS OFGENERALIZED ORDER STATISTICS -- Abstract -- 1. Introduction -- 2. Main Results -- 2.1. Applications -- 3. Characterizations by Reverse Ordering -- 3.1. Applications -- Acknowledgments -- References -- Chapter 10ESTIMATING THE LOCATION AND SCALEPARAMETERS USING RANKED SET SAMPLING -- Abstract -- 1. Introduction -- 2. Estimation Based on a RSS and a MRSS -- 3. Location Family -- Scale Family -- 5. Location-Scale Family -- 6. Calculations -- 7. Application -- 8. Conclusion -- References -- Chapter 11ROBUST ESTIMATION IN CALIBRATIONMODELSUSING THE STUDENT-t DISTRIBUTION -- Abstract -- 1. Introduction -- 2. The Calibration Model without Measurement Error -- 2.1. A Simulation Study -- 2.2. Application -- 3. The Functional Calibration Model -- 3.1. A Simulation Study -- References -- Chapter 12USEFUL RESULTS FOR THE RENEWALAND THE ALTERNATING RENEWAL PROCESS -- Abstract -- 1. Introduction -- 2. Notation -- 3. The Mean Number of Excess Periods in [0, t). -- 4. The Alternating Renewal Process -- 5. A Correlated Alternating Renewal Process. ; 6. The Mean Number of Periods in a Three State Renewal Process -- 7. A Correlated Three Stages Renewal Process -- References -- Chapter 13CLASSIFICATION OF MULTIVARIATEREPEATED MEASURES DATA WITHTEMPORAL AUTOCORRELATION -- Abstract -- 1. Introduction -- 2. Classification Rules -- 2.1. Classification Rules with Structured Mean Vectors -- Maximum Likelihood Estimation of d1,d2,V and S: -- Classification Rule: -- Classification Rule: -- Classification Rule: -- 2.2. Classification Rules with Unstructured Mean Vectors -- 3. An Example -- 4. A Simulated Study -- References -- Chapter 14BAYESIAN ESTIMATION FOR THE AR(1) MODELUSING ASYMMETRIC LOSS FUNCTIONS -- Abstract -- 1. Introduction -- 2. Linex Loss Functions -- 3. Rationale Behind the Asymmetric Loss -- 4. Different Prior Models -- 4.1. Conjugate Normal Prior and the Behavior of the Linex Risks -- 4.2. Alternatives to the Conjugate Prior -- 5. Decision Analysis -- 6. Data Analysis -- References -- Chapter 15BAYESIAN MODELLING FOR RECURRENTLIFETIME DATA WITH A NON HOMOGENEOUSPOISSON PROCESS WITH A FRAILTY TERM WITH AGAMMA OR INVERSE GAUSSIAN DISTRIBUTION -- Abstract -- 1. Introduction -- 2. Model Formulation -- 2.1. The Model with a Gamma Frailty Distribution -- 2.2. The Model with an Inverse Gaussian Frailty Distribution -- 3. A Bayesian Approach -- 3.1. The Conditional Posterior for the Model with a Gamma Frailty Distribution -- 3.2. The Conditional Posterior for the Model with a Inverse Gaussian FrailtyDistribution -- 4. Model Selection -- 5. The Animal Carcinogenesis Data -- 6. Estimating the Individual Frailties -- 7. Concluding Remarks -- Acknowledgments -- References -- Chapter 16LOCAL INFLUENCE FOR MEASUREMENT ERRORREGRESSION MODELS FOR THE ANALYSIS OFPRETEST/POSTTEST DATA -- Abstract -- 1. Introduction -- 2. Measurement Error Regression Model with Null Intercept. ; 3. Local Influence Diagnostics -- 3.1. Perturbation of CaseWeights -- 3.2. Perturbation of the Response Variables -- 3.3. Perturbation of the Explanatory Variables -- 3.4. Perturbation of the Variance of the Measurement Errors -- 4. Numerical Illustration -- Appendix A: EM Algorithm -- E Step -- M Step -- Appendix B: Observed Information Matrix -- Acknowledgements -- References -- Chapter 17A TRANSITION MODEL FOR AN ORDEREDCLUSTER OF MIXED CONTINUOUS AND DISCRETERESPONSES WITH NON-MONOTONE MISSINGNESS -- Abstract -- 1. Introduction -- 2. Psychological Disorders Data -- 3. Transition Model for Ordered Cluster or Longitudinal Datawith Non-monotone Missing Responses -- 3.1. Residuals -- 4. A Transition Model for the Psychological Disorders Data -- 4.1. The Model -- 4.2. Likelihood -- 4.3. Results -- 5. Discussion -- Acknowledgment -- References -- Chapter 18ON A NONBINARY S-OPTIMAL DESIGN OVER ACLASS OF MINIMALLY CONNECTED BINARYROW-COLUMN DESIGNS -- Abstract -- 1. Introduction -- 2. Preliminaries -- 3. s-optimal Minimal Design -- 4. Concluding Remarks -- References -- Chapter 19THE ERLANGIAN MACHINE INTERFERENCE MODEL:ER/M/2/K/N WITH BALKING, RENEGING ANDHETEROGENEOUS REPAIRMEN∗ -- Abstract -- 1. Introduction -- 2. Analyzing the Problem -- 3. The Steady−State Equations and Their Solution -- 4. Special Cases -- References -- Chapter 20SOME EXTENSIONS TO DOUBLERANKED SET SAMPLING∗ -- Abstract -- 1. Introduction -- 2. Sampling Methods -- 2.1. Ranked Set Sampling -- 2.2. Median Ranked Set Sampling -- 2.3. Extreme Ranked Set Sampling -- 2.4. Double Ranked Set Sampling -- 2.5. Median Double Ranked Set Sampling -- 2.6. Double Median Ranked Set Sampling -- 2.7. Extreme Double Ranked Set Sampling -- 3. Notations and Some Definitions -- 4. Median Double Ranked Set Sampling -- 4.1. Efficiency of MDRSS -- 4.2. Examples -- 5. Double Median Ranked Set Sampling. ; 5.1. Efficiency of DMRSS -- 5.2. Examples -- 6. Extreme Double Ranked Set Sampling -- 6.1. Efficiency of EDRSS -- 6.2. Examples -- 7. Results and Discussion -- Appendix -- References -- INDEX -- Blank Page.
• Titolo autorizzato: Progress in applied statistics research
• ISBN: 1-61728-664-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910816865103321
• Lo trovi qui: Univ. Federico II