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Statistical Inference for the Parameter of Rayleigh Distribution Based on Progressively Type-I Interval Censored Sample

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【作者】 Abdalroof M SZhao Zhi-wenWang De-hui

【Author】 Abdalroof M S;Zhao Zhi-wen;Wang De-hui;School of Mathematics, Jilin University;College of Mathematics, Jilin Normal University;

【机构】 School of Mathematics, Jilin UniversityCollege of Mathematics, Jilin Normal University

【摘要】 In this paper, the estimation of parameters based on a progressively type-I interval censored sample from a Rayleigh distribution is studied. Different methods of estimation are discussed. They include mid-point approximation estimator, the maximum likelihood estimator, moment estimator, Bayes estimator, sampling adjustment moment estimator, sampling adjustment maximum likelihood estimator and estimator based on percentile. The estimation procedures are discussed in details and compared via Monte Carlo simulations in terms of their biases.

【基金】 The NSF(11271155,11001105,11071126,10926156,11071269)of China;the Specialized Research Fund(20110061110003,20090061120037)for the Doctoral Program of Higher Education;the Scientific Research Fund(201100011,200903278)of Jilin University;the NSF(20101596,20130101066JC)of Jilin Province
  • 【DOI】10.13447/j.1674-5647.2015.02.02
  • 【分类号】O212
  • 【被引频次】1
  • 【下载频次】25
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