selection and zero-inflated negative binomial regression for parameter estimation. The new approaches demonstrate superiority to …

transactions or independent transactions. We propose a discrete model allowing for excessive zero values based on the zero-inflated … negative binomial distribution with score dynamics. We establish the invertibility of the score filter. Additionally, we derive …

transactions or independent transactions. We propose a discrete model allowing for excessive zero values based on the zero-inflated … negative binomial distribution with score dynamics. We establish the invertibility of the score filter. Additionally, we derive …

characteristics using micro-level data (European Union Statistics on Income and Living Conditions). Using the zero-inflated negative … binomial model, we found no significant effect from the abolition of user charges on doctor visits, suggesting either that user …

characteristics using micro-level data (European Union Statistics on Income and Living Conditions). Using the zero-inflated negative … binomial model, we found no significant effect from the abolition of user charges on doctor visits, suggesting either that user …

, hurdle model, generalized linear model, zero-inflated negative binomial regression model. FINDINGS: The finally selected …

, hurdle model, generalized linear model, zero-inflated negative binomial regression model. FINDINGS: The finally selected …

, hurdle model, generalized linear model, zero-inflated negative binomial regression model. FINDINGS: The finally selected …