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題 名 | Estimation of Nonlinear Berkson-Type Measurement Error Models |
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作 者 | Wang,Liqun; | 書刊名 | Statistica Sinica |
卷 期 | 13:4 2003.10[民92.10] |
頁 次 | 頁1201-1210 |
分類號 | 319.5 |
關鍵詞 | Asymptotic normality; Consistency; Errors-in-variables; Least squares method; Minimum distance estimator; Moment estimation; |
語 文 | 英文(English) |
英文摘要 | This paper studies a minimum distance moment estimator for general nonlinear regression models with Berkson-type measurement errors in predictor variables. The estimator is based on the first two conditional moments of the response variable given the observed predictor variable. It is shown that under general regularity conditions the proposed estimator is consistent and asymptotically normally distributed. |
本系統中英文摘要資訊取自各篇刊載內容。