Bayesian approach to errors-in-variables in count data regression models / Nur Aainaa Rozliman
In most practical applications, data sets are often contaminated with error or mismeasured covariates. When these errors-in-variables or measurement errors are not corrected, they will cause misleading statistical inferences and analysis. Therefore, we will focus on addressing errors-in-variables...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
2018
|
| Subjects: |