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Empirical likelihood for first-order mixed integer-valued autoregressive model 被引量:1

Empirical likelihood for first-order mixed integer-valued autoregressive model
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摘要 In this paper, we not only construct the confidence region for parameters in a mixed integer-valued autoregressive process using the empirical likelihood method, but also establish the empirical log-likelihood ratio statistic and obtain its limiting distribution. And then, via simulation studies we give coverage probabilities for the parameters of interest. The results show that the empirical likelihood method performs very well. In this paper, we not only construct the confidence region for parameters in a mixed integer-valued autoregressive process using the empirical likelihood method, but also establish the empirical log-likelihood ratio statistic and obtain its limiting distribution. And then, via simulation studies we give coverage probabilities for the parameters of interest. The results show that the empirical likelihood method performs very well.
出处 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2018年第3期313-322,共10页 高校应用数学学报(英文版)(B辑)
基金 Supported by National Natural Science Foundation of China(11731015,11571051,J1310022,11501241) Natural Science Foundation of Jilin Province(20150520053JH,20170101057JC,20180101216JC) Program for Changbaishan Scholars of Jilin Province(2015010) Science and Technology Program of Jilin Educational Department during the "13th Five-Year" Plan Period(2016-399) Science and Technology Research Program of Education Department in Jilin Province for the 13th Five-Year Plan(2016213)
关键词 mixed integer-valued autoregressive model empirical likelihood asymptotic distribution confidence region mixed integer-valued autoregressive model empirical likelihood asymptotic distribution confidence region
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