摘要
In this paper, the estimation of parameters based on a progressively typeI interval censored sample from a Pareto distribution is studied. Different methods of estimation are discussed, which include mid-point approximation estimator, the maximum likelihood estimator and moment estimator. The estimation procedures are discussed in details and compared via Monte Carlo simulations in terms of their biases.
In this paper, the estimation of parameters based on a progressively typeI interval censored sample from a Pareto distribution is studied. Different methods of estimation are discussed, which include mid-point approximation estimator, the maximum likelihood estimator and moment estimator. The estimation procedures are discussed in details and compared via Monte Carlo simulations in terms of their biases.
基金
The NSF (11271155,11001105,11071126,10926156 and 11071269) of China
the Specialized Research Fund (20110061110003 and 20090061120037) for the Doctoral Program of Higher Education
the General Humanities and Social Science Research Projects (11YJAZH125) Sponsored by Ministry of Education
the Science and Technology Development Program (201201082) of Jilin Province
