This book highlights various theoretical developments on logistic distribution, illustrates the practical utility of these results, and describes univariate and multivariate generalizations of the distribution. It is useful for researchers, practicing statisticians, and graduate students.
1. Introduction and Historical Remarks 2. Logistic Order Statistics and Their Properties 3. Maximum Likelihood Estimation Based on Complete and Type II Censored Samples 4. Linear Estimation Based on Complete and Censored Samples 5. Reliability Estimation Based on MLEs for Complete and Censored Samples 6. Ranking and Selection Procedures 7. Characterizations 8. Translated Families of Distributions 9. Univariate Generalized Distributions 10. Some Related Distributions 11. Multivariate Logistic Distributions 12. Outlier and Robustness of Estimators 13. Goodness-of-Fit Tests 14. Tolerance Limits and Sampling Plans Based on Censored Samples 15. Logistic Stochastic Growth Models and Applications 16. Logistic Growth Models and Related Problems 17. Applications in Health and Social Sciences 18. Some Other Applications