On Parameter Estimation for Semi-linear Errors-in-Variables Models
โ Scribed by Cui Hengjian; Li Rongcai
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 425 KB
- Volume
- 64
- Category
- Article
- ISSN
- 0047-259X
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โฆ Synopsis
This paper studies a semi-linear errors-in-variables model of the form Y i = x$ i ;+ g(T i )+e i , X i =x i +u i (1 i n). The estimators of parameters ;, _ 2 and of the smooth function g are derived by using the nearest neighbor-generalized least square method. Under some weak conditions, it is shown that the estimators of unknown vector ; and the unknown parameter _ 2 are strongly consistent and asymptotically normal. The estimator of g also achieves an optimal rate of convergence.
๐ SIMILAR VOLUMES
Consider the partial linear models of the form Y=X { ;+ g(T)+e, where the p-variate explanatory X is erroneously measured, and both T and the response Y are measured exactly. Let X be the surrogate variable for X with measurement error. Let the primary data set be that containing independent observa