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Statistical estimation in partial linear models with covariate data missing at random

✍ Scribed by Qi-Hua Wang

Publisher
Springer Japan
Year
2007
Tongue
English
Weight
418 KB
Volume
61
Category
Article
ISSN
0020-3157

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πŸ“œ SIMILAR VOLUMES

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Consider the linear models of the form Y=X { ;+= with the response Y censored randomly on the right and X measured erroneously. Without specifying any error models, in this paper, a semiparametric method is applied to the estimation of the parametric vector ; with the help of proper validation data.

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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