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Exact and Approximate Statistical Inference for Nonlinear Regression and the Estimating Equation Approach
The exact density distribution of the nonlinear least squares estimator in the one-parameter regression model is derived in closed form and expressed through the cumulative distribution function of the standard normal variable. Several proposals to generalize this result are discussed. The exact den...
Enregistré dans:
| Publié dans: | Scand Stat Theory Appl |
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| Auteur principal: | |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5638165/ https://ncbi.nlm.nih.gov/pubmed/29033489 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/sjos.12269 |
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