This book deals with the development of methodology for the analysis of truncated and censored sample data. It is primarily intended as a handbook for practitioners who need simple and efficient methods for the analysis of incomplete sample data.
1. Introduction 2. Singly Truncated and Singly Censored Samples from the Normal Distribution 3. Multirestricted Samples from the Normal Distribution 4. Linear Estimators 5. Truncated and Censored Samples from the Weibull Distribution 6. Truncated and Censored Samples from the Lognormal Distribution 7. Truncated and Censored Samples from the Inverse Gaussian and the Gamma Distributions 8. Truncated and Censored Samples from the Exponential and the Extreme Value Distributions 9. Truncated and Censored Samples from the Rayleigh Distribution 10. Truncated and Censored Samples from the Pareto Distribution 11. Higher-Moment Estimates of Pearson Distribution Parameters from Truncated Samples 12. Truncated and Censored Samples from Bivariate and Multivariate Normal Distributions 13. Truncated and Censored Samples from Discrete Distributions 14. Truncated Attribute Sampling and Related Topics
