Point and interval estimation under progressive type-I interval censoring with random removal
This work considers point and interval estimation based on data from a life test under progressive type-I interval censoring with random removal. The asymptotic properties of the maximum likelihood estimators (MLEs) are established under appropriate regularity conditions. Asymptotic confidence intervals and β-content γ-level tolerance interval are obtained by using the asymptotic normality of MLEs. A simulation study is undertaken to assess the performance of the MLEs, confidence intervals and tolerance interval. Lastly, the minimum sample size required to achieve a desired β-content γ-level tolerance interval is determined.
Budhiraja, Sonal and Pradhan, Biswabrata, "Point and interval estimation under progressive type-I interval censoring with random removal" (2020). Journal Articles. 421.