期刊文献+

Empirical Likelihood of Density Function for Dependent Series

Empirical Likelihood of Density Function for Dependent Series
下载PDF
导出
摘要 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 func- tion 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. 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.
作者 JIN Shu Hua
出处 《Journal of Mathematical Research and Exposition》 CSCD 北大核心 2008年第3期645-650,共6页 数学研究与评论(英文版)
基金 11th Five-Year Plan Social Science Project of Office of Education of Jilin Province(No.2007235)
关键词 m-dependent series density function empirical likelihood. 密度泛函理论 随机过程 计算方法 数学分析
  • 相关文献

参考文献1

二级参考文献6

  • 1余昭平,涂冬生.m相依样本均值的Bootstrap及其随机加权逼近的收敛速度[J].高校应用数学学报(A辑),1993,8(4):396-402. 被引量:3
  • 2施锡铨.m相依样本均值的Bootstrap估计[J].科学通报,1986,31:404-407.
  • 3Owen A B. Empirical likelihood confidence regions[J]. Ann Statist, 1990, 18: 90-120.
  • 4Qin J, Lawless J F. Empirical likelihood and general estimating equations[J]. Ann Statist, 1994, 22: 300-325.
  • 5Loeve. M Probability Theory[M]. 4th edition. Springer-Verlag. 20-21.
  • 6Owen A B. Empirical likelihood ratio confidence intervals for a single functional[J]. Biometrika. 1988. 75: 237-249.

共引文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部