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Evaluating Statistical Hypotheses Using Weakly-Identifiable Estimating Functions
Many statistical models arising in applications contain non- and weakly-identified parameters. Due to identifiability concerns, tests concerning the parameters of interest may not be able to use conventional theories and it may not be clear how to assess statistical significance. This paper extends...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2012
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3685206/ https://ncbi.nlm.nih.gov/pubmed/23788826 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1467-9469.2012.00811.x |
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