| Autor: |
Sergiy Shklyar |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Austrian Journal of Statistics, Vol 52, Iss SI (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1026-597X |
| DOI: |
10.17713/ajs.v52iSI.1771 |
| Popis: |
A simple exponential regression model is considered where the rate parameter of the response variable linearly depends on the explanatory variable. We consider complications of the model: censoring of the response variable (either upper censoring or interval observations), the additive classical error or multiplicative Berkson error in the explanatory variable, or a combination of censoring with Berkson errors. We construct or use already-known estimators in the models, and verify their performance in simulations. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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