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Analysis of survival data by a Weibull–Bessel distribution

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  • Ramesh C. Gupta
  • Muhammad Waleed

Abstract

In survival analysis and reliability studies, problems with random sample size arise quite frequently. More specifically, in cancer studies, the number of clonogens is unknown and the time to relapse of the cancer is defined by the minimum of the incubation times of the various clonogenic cells. In this article, we have proposed a new model where the distribution of the incubation time is taken as Weibull and the distribution of the random sample size as Bessel, giving rise to a Weibull–Bessel distribution. The maximum likelihood estimation of the model parameters is studied and a score test is developed to compare it with its special submodel, namely, exponential–Bessel distribution. To illustrate the model, two real datasets are examined, and it is shown that the proposed model, presented here, fits better than several other existing models in the literature. Extensive simulation studies are also carried out to examine the performance of the estimates.

Suggested Citation

  • Ramesh C. Gupta & Muhammad Waleed, 2018. "Analysis of survival data by a Weibull–Bessel distribution," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(4), pages 980-995, February.
    • Handle: RePEc:taf:lstaxx:v:47:y:2018:i:4:p:980-995
    DOI: 10.1080/03610926.2017.1316402
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