Inferences for the Linear Errors-in-Variables with Changepoint Models
學年 85
學期 1
出版（發表）日期 1997-01-01
作品名稱 Inferences for the Linear Errors-in-Variables with Changepoint Models
作品名稱（其他語言）
著者 Chang, Y. P.; Huang, W. T.
單位 淡江大學經營決策學系
出版者
著錄名稱、卷期、頁數 Journal of the American Statistical Association92(437), pp.171-178
摘要 A new linear structural errors-in-variables regression with changepoint model is considered. In this model we consider the likelihood ratio test based on the maximum Hotelling T 2 for the test of no change against the alternative of exactly one change. If there is a change, either known a priori or by testing, then we estimate the unknown changepoint parameter and some other related parameters by maximum likelihood. The limiting distribution of the changepoint estimator is investigated and it is shown that the asymptotic efficiency increases as the absolute regression slope coefficient increases. A Monte Carlo study shows that the proposed estimator performs satisfactorily.
關鍵字 Asymptotic distribution;Asymptotic efficiency;Consistency;Likelihood ratio test
語言 en
ISSN
期刊性質 國內
收錄於
產學合作
通訊作者
審稿制度 否
國別 TWN
公開徵稿
出版型式 ,電子版
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