Statistical inferences of a two-parameter distribution with the bathtub shape based on progressive censored sample
This study considers the hypothesis test and interval estimation of the shape parameter of a new two-parameter distribution with the bathtub shape or increasing failure rate function under type-II progressive censoring based on the proposed m pivotal quantities. The confidence region of two parameters of this distribution is also proposed. We give one numerical example to illustrate the proposed methods. Next, the Monte Carlo simulation is done to assess the behaviour of these pivotal quantities. Lastly, we find the optimal pivotal quantity based on the criteria of highest power, minimum confidence length and the minimum confidence region.
two-parameter distribution bathtub shape shape parameter increasing failure rate function type-ii progressive censoring confidence region testing hypothesis confidence interval