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Uncertain regression model with autoregressive time series errors
Uncertain regression model is a powerful analytical tool for exploring the relationship between explanatory variables and response variables. It is assumed that the errors of regression equations are independent. However, in many cases, the error terms are highly positively autocorrelated. Assuming...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Berlin Heidelberg
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8530374/ https://www.ncbi.nlm.nih.gov/pubmed/34703385 http://dx.doi.org/10.1007/s00500-021-06362-4 |