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A bivariate limiting distribution of tumor latency time.

作者信息

Rachev S T, Wu C

机构信息

Department of Statistics and Applied Probability, University of California, Santa Barbara 93106, USA.

出版信息

Math Biosci. 1995 Jun;127(2):127-47. doi: 10.1016/0025-5564(94)00043-y.

Abstract

The model of radiation carcinogenesis, proposed earlier by Klebanov, Rachev, and Yakovlev [8] substantiates the employment of limiting forms of the latent time distribution at high dose values. Such distributions arise within the random minima framework, the two-parameter Weibull distribution being a special case. This model, in its present form, does not allow for carcinogenesis at multiple sites. As shown in the present paper, a natural two-dimensional generalization of the model appears in the form of a Weibull-Marshall-Olkin distribution. Similarly, the study of a randomized version of the model based on the negative binomial minima scheme results in a bivariate Pareto-Marshall-Olkin distribution. In the latter case, an estimate for the rate of convergence to the limiting distribution is given.

摘要

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