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相依序列密度函数的经验似然推断
引用本文:金淑华.相依序列密度函数的经验似然推断[J].数学研究及应用,2008,28(3):645-650.
作者姓名:金淑华
作者单位:长春税务学院应用数学系, 吉林 长春 130117
基金项目:吉林省教育厅``十一五'社会科学项目(No.2007235).
摘    要:本文利用了强平稳$m-$相依序列的特殊性质,讨论了$m-$相依序列密度函数的经验似然推断, 给出了似然比统计量的极限分布,可构造参数的经验似然置信区间. 并且通过模拟计算来说明有限样本下应用经验似然方法的合理性.

关 键 词:扩张Ockham代数  对偶空间  次直不可约代数  本原基.
收稿时间:7/3/2006 12:00:00 AM
修稿时间:2008/4/16 0:00:00

Empirical Likelihood of Density Function for Dependent Series
JIN Shu Hua.Empirical Likelihood of Density Function for Dependent Series[J].Journal of Mathematical Research with Applications,2008,28(3):645-650.
Authors:JIN Shu Hua
Institution:Department of Mathematics, Changchun Taxation College, Jilin 130117, China
Abstract:With the application of the special properties of strongly stationary $m-$dependent series, this paper is concerned with the empirical likelihood confidence intervals of density function under $m-$dependent series. The limit distribution of empirical likelihood ratio statistics is given out, and the empirical likelihood confidence intervals of parameters can be constructed. A simulation study is conducted to show the finite sample performance of the empirical likelihood based method.
Keywords:$m-$dependent series  density function  empirical likelihood  
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