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|a Research in applied statistical science /
|c Mohammad Ahsanullah, editor.
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|a New York :
|b Nova Publishers,
|c [2014]
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|a 1 online resource :
|b illustrations
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|a text
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|a Applied Statistical Science
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|a Includes bibliographical references and index.
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|a Print version record; title from PDF title page, viewed (07/16/2020).
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|a 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.
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|a 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.
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|a 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.
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|a 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.
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|a 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.
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|a 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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590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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|a Statistics.
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|a Statistique.
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|a MATHEMATICS
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|a MATHEMATICS
|x Probability & Statistics
|x General.
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|a Statistics
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|a Ahsanullah, Mohammad,
|e editor.
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|i Print version:
|t Research in applied statistical science.
|d New York : Nova Publishers, [2014]
|z 163321818X
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|a Applied statistical science.
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