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標題:The extensively corrected score for measurement error models
學年104
學期1
出版(發表)日期2015/12/01
作品名稱The extensively corrected score for measurement error models
作品名稱(其他語言)
著者Huang YH; Wen CC; Hsu YH
單位
出版者
著錄名稱、卷期、頁數Scandinavian Journal of Statistics 42(4), pp.911-924
摘要In measurement error problems, two major and consistent estimation methods are the conditional score and the corrected score. They are functional methods that require no parametric assumptions on mismeasured covariates. The conditional score requires that a suitable sufficient statistic for the mismeasured covariate can be found, while the corrected score requires that the object score function can be estimated without bias. These assumptions limit their ranges of applications. The extensively corrected score proposed here is an extension of the corrected score. It yields consistent estimations in many cases when neither the conditional score nor the corrected score is feasible. We demonstrate its constructions in generalized linear models and the Cox proportional hazards model, assess its performances by simulation studies and illustrate its implementations by two real examples.
關鍵字conditional score;corrected score;extensively corrected score;generalized linear models;measurement errors
語言英文(美國)
ISSN1467-9469
期刊性質國外
收錄於SCI;
產學合作
通訊作者Huang YH
審稿制度
國別美國
公開徵稿
出版型式,電子版
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