典型文献
Fisher Information in Moving Extreme Ranked Set Sampling with Application to Parameter Estimation
文献摘要：
In statistical parameter estimation problems,how well the parameters are estimated largely depends on the sampling design used.In the current paper,a modification of ranked set sampling called moving extremes ranked set sampling (MERSS) is considered for the Fisher information matrix for the location-scale family.The Fisher information matrix for this model are respectively derived under simple random sampling and MERSS.In order to give more insight into the performance of MERSS with respect to simple random sampling,the Fisher information matrix for usual location-scale distributions are respectively computed under the two sampling.The numerical results show that MERSS provides more information than simple random sampling in parametric inference.
文献关键词：
中图分类号：
作者姓名：
YAO Dongsen;CHEN Wangxue;YANG Rui;LONG Chunxian
作者机构：
Department of Mathematics and Statistics,Jishou University,Jishou 416000,China
文献出处：
引用格式：
[1]YAO Dongsen;CHEN Wangxue;YANG Rui;LONG Chunxian-.Fisher Information in Moving Extreme Ranked Set Sampling with Application to Parameter Estimation)[J].系统科学与复杂性学报（英文版）,2022(01):361-372
A类：
Ranked,MERSS
B类：
Fisher,Information,Moving,Extreme,Set,Sampling,Application,Parameter,Estimation,statistical,estimation,problems,well,parameters,are,estimated,largely,depends,sampling,design,used,current,paper,modification,ranked,set,called,moving,extremes,considered,information,matrix,location,scale,family,this,model,respectively,derived,under,simple,random,order,give,more,insight,into,performance,usual,distributions,computed,two,numerical,results,show,that,provides,than,parametric,inference
AB值：
0.524181
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