On Information in Competing Risks Model of Random Censoring
摘要
Authors consider a Fisher Information in Competing Risks Model of random censoring when distribution function of all risks depends on the same parameter \(\theta \) . In this paper, they propose the decomposition formulas of information of model also Cramer-Rao type inequalities for unbiased estimators and some of its improvement. At the end of the paper, there are some useful recommendations based on use of decomposition formulas.