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We show how the rootogram - a graphical tool associated with the work of J. W. Tukey and originally used for assessing goodness of fit of univariate distributions - can help to diagnose and treat issues such as overdispersion and/or excess zeros in regression models for count data. Two empirical...
Persistent link: https://www.econbiz.de/10010385052
The rootogram is a graphical tool associated with the work of J. W. Tukey that was originally used for assessing goodness of t of univariate distributions. Here we show that rootograms are also useful for diagnosing and treating issues such as overdispersion and/or excess zeros in regression...
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We show that the identification results of finite mixture and misclassification models are equivalent in a widely-used scenario except an extra ordering assumption. In the misclassification model, an ordering condition is imposed to pin down the precise values of the latent variable, which are...
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This paper proposes enhanced studies on a model consisting of a finite mixture framework of generalized linear models (GLMs) with gamma-distributed responses estimated using the Bayesian approach coupled with the Markov Chain Monte Carlo (MCMC) method. The log-link function, which relates the...
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Frailty models are the possible choice to counter the problem of the unobserved heterogeneity in individual risks of … disease and death. Based on earlier studies, shared frailty models can be utilised in the analysis of bivariate data related … to survival times (e.g. matched pairs experiments, twin or family data). In this article, we assume that frailty acts …
Persistent link: https://www.econbiz.de/10014287929