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...
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| 格式: | Thesis |
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2018
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