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OPTIMALITY OF NONPARAMETRIC TESTS FOR ASSOCIATION BETWEEN SURVIVAL TIME AND CONTINUOUS COVARIATES
Abstract:Abstract

Recently, Chen (Chen, Z. (2000 Chen, Z. 2000. A new two-parameter lifetime distribution with bathtub-shape or increasing failure rate function. Statistics &; Probability Letters, 49: 155161. Crossref], Web of Science ®] Google Scholar]). A new two-parameter lifetime distribution with bathtub-shape or increasing failure rate function. Statistics &; Probability Letters 49:155–161.) proposed a two-parameter model that can be used to model bathtub-shaped failure rate. Although this model has several interesting properties, it does not contain a scale parameter and hence not flexible in modeling real data. A generalized model including the scale parameter has shown to be interesting and it has the traditional Weibull distribution as an asymptotic case. In this article, a detailed analysis of this model is presented. Shapes of the density and failure rate function are studied. The asymptotic confidence intervals for the parameters are also derived from the Fisher information matrix. The likelihood ratio test is applied to test the goodness of fit of Weibull extension model. Some examples are shown to illustrate the application of the model and analysis.
Keywords:Censoring  Ranks  Weighted logrank tests  Proportional hazards model  Proportional odds model
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