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Empirical Likelihood based Inference for Additive Partial Linear Measurement Error Models
This paper considers statistical inference for additive partial linear models when the linear covariate is measured with error. To improve the accuracy of the normal approximation based confidence intervals, we develop an empirical likelihood based statistic, which is shown to be asymptotically chi-...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2009
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2743498/ https://ncbi.nlm.nih.gov/pubmed/20161079 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1467-9469.2008.00632.x |
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