Statistical Inference for Weibull Distribution Based on Competing Risk Data under Progressive Type-I Group Censoring

Esra Unal, Shou Jye Wu, Muhammet Bekci, Ismail Kinaci, Coskun Kus

Abstract


In this study, statistical inference is discussed for Weibull distribution based on competing risks data under progressive Type-I group censoring. The maximum likelihood procedure is used to get point estimates and asymptotic confidence intervals for unknown parameters. Some simulations results are presented. A numerical example is also provided.


Keywords


Competing risk data; Maximum likelihood method; Monte Carlo Simulation; Weibull Distribution.

Full Text: PDF

Refbacks

  • There are currently no refbacks.