Research in applied statistical science / Mohammad Ahsanullah, editor.

Includes bibliographical references and index.

Description based on print version record; title from PDF title page, viewed (07/16/2020).

RESEARCH IN APPLIED STATISTICAL SCIENCE; RESEARCH IN APPLIED STATISTICAL SCIENCE; LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA; CONTENTS; PREFACE; Chapter 1: EDF GOODNESS-OF-FIT TESTS FOR TESTING THE DISTRIBUTIONAL ASSUMPTIONS IN ONE-WAY REGRESSION MODEL; Abstract; 1. Introduction; 2. Characterization of Normal Distribution Related to Two Samples Based on Student's Law; 3. Characterization of Normal Distribution Related to k Samples Based on Student's Law; 4. Application to Goodness-of-Fit Tests; References.

Chapter 2: SAMPLE SIZE DETERMINATION FOR BETWEEN GROUP COMPARISONS IN MIXED-EFFECTS LOGISTIC REGRESSION MODELS FOR ANALYSIS OF LONGITUDINAL DATAAbstract; 1. Introduction; 2. Modeling and Estimation; 3. Methodology for Determining Sample Size; 4. Illustration; 5. Simulation Study for Power Characteristics; 6. Conclusion; This; Dang, ; Chapter 3: MATHEMATICAL MODELING OF MORTALITY FOR COUNTRIES WITH LIMITED AND DEFECTIVE DATA; Abstract; 1. Introduction; 2. Methodology; 3. The Model; 4. Interpretation of the Parameters; 5. Advantages of the Model; 6. Conclusion.

7. Probabilistic Analysis of the ParametersAppendix A. Computational Procedure; Appendix B. Tables; Appendix C. Figures; References; Chapter 4: ON CHARACTERIZATIONS OF THE EXPONENTIAL DISTRIBUTIONS; Abstract; 1. Introduction; 2. Results; References; Chapter 5: ESTIMATION OF P[Y <X] FOR GENERALIZED LOGISTIC DISTRIBUTION; Abstract; 1. Introduction; 2. Estimation of R = P(Y <X); 3. Interval Estimation of R; 4. Monte-Carlo Simulation and Comparisons; 5. Concluding Remarks; References; Chapter 6: A CLASS OF SATURATED BINARY S-OPTIMAL ROW-COLUMN DESIGNS; Abstract; 1. Introduction.

2. Saturated Row-Column Designs3. Main Results; 4. Concluding Remarks; References; Chapter 7: MULTIPLY AND PARTIALLY CONFOUNDED FACTORIAL BIB DESIGNS; Abstract; 1. Introduction; 2. Construction and Analysis; 3. Example; Conclusion; References; Chapter 8: AN EXTENDED VERSION OF HYPER POISSON DISTRIBUTION AND SOME OF ITS APPLICATIONS; Abstract; 1. Introduction; 2. Derivation of the EHP Distribution; 3. Properties; 4. Estimation; Acknowledgment; References; Chapter 9: REPEATED MEASUREMENTS DESIGNS FOR COMPARING TWO DISJOINT SETS OF FORMULATIONS IN BIOEQUIVALENCE TRIALS; Abstract; 1. Introduction.

2. Experimental Set Up and Definitions3. CSRMDS for Bioequivalence Trials; 4. ISRMDS for Bioequivalence Trials; Acknowledgments; References; Chapter 10: ROLE OF CATEGORICAL VARIABLES IN MULTICOLLINEARITY IN LINEAR REGRESSION MODEL; Abstract; 1. Introduction; 2. Model and Diagnostics; 3. Choice of Reference Category; 4. Application to Real Data Set; 5. Summary; References; Chapter 11: PREDICTIVE INFERENCE FROM TWO-PARAMETER WEIBULL MODEL GIVEN A DOUBLY CENSORED SAMPLE OF HEPATOCELLULAR CARCINOMA OF LIVER PATIENTS; Abstract; 1. Introduction.

This book makes a significant contribution to the advancement of statistical science. It contains research in many statistical designs, compares many statistical models, and includes theories that are oriented to real life problems.

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