DOI: 10.5204/thesis.eprints.210863
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Bias, bias reduction and implications in predictive regression

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“…Lower deviance values indicate a better model fit. Additionally, the difference in deviance statistics between two nested models can be used to test the hypothesis of whether additional predictors can improve model fit (Jayetileke, 2021). The difference in statistics follows a chi-square distribution, with degrees of freedom equaling the difference in the number of estimated parameters in the covariance component of the two models (Davison et al, 2002).…”
Section: Data Analysis Strategymentioning
confidence: 99%
“…Lower deviance values indicate a better model fit. Additionally, the difference in deviance statistics between two nested models can be used to test the hypothesis of whether additional predictors can improve model fit (Jayetileke, 2021). The difference in statistics follows a chi-square distribution, with degrees of freedom equaling the difference in the number of estimated parameters in the covariance component of the two models (Davison et al, 2002).…”
Section: Data Analysis Strategymentioning
confidence: 99%