A note on the C_P statistic under the nested error regression model - ARCHIVED
Articles and reports: 12-001-X20050018094
Description:
Nested error regression models are frequently used in small-area estimation and related problems. Standard regression model selection criterion, when applied to nested error regression models, may result in inefficient model selection methods. We illustrate this point by examining the performance of the C_P statistic through a Monte Carlo simulation study. The inefficiency of the C_P statistic may, however, be rectified by a suitable transformation of the data.
Issue Number: 2005001
Main Product: Survey Methodology
Format | Release date | More information |
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July 21, 2005 |
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