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Strong consistency of least-squares estimates in regression models
A general theorem on the limiting behavior of certain weighted sums of i.i.d. random variables is obtained. This theorem is then applied to prove the strong consistency of least-squares estimates in linear and nonlinear regression models with i.i.d. errors under minimal assumptions on the design and...
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| Publicado en: | Proc Natl Acad Sci U S A |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
National Academy of Sciences
1977
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC431237/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/16592416/ https://ncbi.nlm.nih.govhttps://doi.org/10.1073/pnas.74.7.2667 |
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