Competing risks data usually arises in studies in which the death or failure of an individual or an item may be classified into one of T≥2 mutually exclusive causes. In this paper, we will study the competing risks model when the data is progressively first-failure-censored. Based on this type of censoring, we derive the maximum likelihood estimators (MLE's) for the unknown parameters. Approxim...

In this paper we consider the problem of estimating the intensity of a spatial homogeneous Poisson process if a part of the observations [quadrat counts] is censored. The actual problem has occurred during a court case when one of the authors was a referee for the defense. TYPE I CENSORING; SPATIAL POISSON PROCESS; INTENSITY ESTIMATION AMS CLASSIFICATION: PRIMARY: 62F12; SECONDARY: 62N25, 90B25

The purpose of this paper is to obtain the tracking interval for difference of expected Kullback-Leibler risks of two models under Type II hybrid censoring scheme. This interval helps us to evaluate proposed models in comparison with each other. We drive a statistic which tracks the difference of expected Kullback–Leibler risks between maximum likelihood estimators of the distribution in two diff...

The comparative life testing for products from different production lines under joint censoring schemes has received some attention over the past few years. Mondal and Kundu recently used balanced progressive type-II scheme to discuss exponential Weibull populations. This paper implements with a hybrid type-I known as (BJPHCS). Lomax products’ model formulation two of BJPHCS is discussed. param...

A Hybrid censoring scheme is mixture of Type-I and Type-II censoring schemes. Based on hybrid censored samples, this paper deals with the inference on R = P (X > Y ), when X and Y are two independent Weibull distributions with different scale parameters, but having the same shape parameter. The maximum likelihood estimator (MLE), and the approximate MLE (AMLE) of R are obtained. The asymptotic ...

Fraser (1968) and Lawless (1982, Appendix G) discussed exact conditional intervals for the parameters and quantiles of the location-scale model when complete data are used. Moreover, Lawless (1982) extended the exact method to failure-censored (Type II censored) data. Nevertheless, the exact intervals are diicult to obtain in practice and are unavailable under time censoring (Type I censoring)....