Efficient Estimation in a Regression Model with Missing Responses
This article examines methods to efficiently estimate the mean response in a linear model with an unknown error distribution under the assumption that the responses are missing at random. We show how the asymptotic variance is affected by the estimator of the regression parameter and by the imputat...
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| Format: | Others |
| Language: | en_US |
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2012
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| Online Access: | http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11396 |