Univariate Interval Censoring with Two Random Intervals

Univariate Interval Censoring with Two Random Intervals

Interval censoring is important in life testing experiments for describing a situation where a subject’s survival time is known only to lie between two values but the exact time is unknown. In this study, the likelihood function for univariate interval censoring with two random intervals is obtained. Copula Method is utilized for the estimation of dependency parameter. A graphical approach is presented for assessing the value of the dependence parameter of the min-max copula.

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  • Clayton, D. G. (1978). A model for association in bivariate life tables and its applica- tions in epidemiological studies of familial tendency in chronic disease incident. Communications in Statistics - Theory and Methods, 65:141–151.
  • Joe, H. and J. J. Xu. (1996). The estimation method of inference functions for margins for multivariate models. Technical report, Department of Statistics, University of British Columbia.
  • Nelsen, R.B. (1999). An Introduction to Copulas. Lecture Notes in Statistics. Springer, New York. Schmitz. V. (2004). Revealing the dependence structure between ?(1) and ?(?) . Journal of Statistical Planning and Inference, 41–47.
  • Sun, J. (2006). The Statistical Analysis of IntervalCensored Failure Time Data. Springer.
  • Turnbull, B.W. (1976). The emprical distribution with arbitrarily grouped censored and truncated data. Journal of the Royal Statistical Society Series B, 38:290–295.
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  • Yayın Aralığı: Yılda 4 Sayı
  • Yayıncı: Denta Florya ADSM Limited Company