نتایج جستجو برای: zero inflated generalized poisson regression model

تعداد نتایج: 2574473  

Journal: :International Journal of Statistics and Probability 2016

Journal: :Journal of data science 2021

One of the key features in regression models consists selecting appropriate characteristics that explain behavior response variable, which stepwise-based procedures occupy a prominent position. In this paper we performed several simulation studies to investigate whether specific approach, namely Strategy A, properly selects authentic variables into generalized additive for location, scale and s...

Journal: :Communications for Statistical Applications and Methods 2011

2012
Gregori Baetschmann Rainer Winkelmann

This paper is concerned with the analysis of zero-inflated count data when time of exposure varies. It proposes a new zero-inflated count data model that is based on two homogeneous Poisson processes and accounts for exposure time in a theory consistent way. The new model is used in an application to the effect of insurance generosity on the number of absent days. JEL Classification: J29, C25

Journal: :Annals of Data Science 2021

Abstract The risk of maternal death in developing countries is projected to be one 61, while for developed it estimated 2800. Antenatal care a protective obstetric health system aimed at improving the outcome pregnant fetus by routine pregnancy monitoring. One most important functions antenatal offer information and services that can significantly improve women their infants. 6450 from Ethiopia...

Journal: :Computational Statistics & Data Analysis 2004
Felix Famoye Weiren Wang

This paper develops a censored generalized Poisson regression model that can be used to predict a response variable that is a2ected by one or more explanatory variables. The censored generalized Poisson regression model is suitable for modeling count data that exhibit either overor under-dispersion. The regression parameters are estimated by the method of maximum likelihood and approximate test...

2008
Eric J. Belasco Sujit K. Ghosh

This research develops a mixture regression model that is shown to have advantages over the classical Tobit model in model fit and predictive tests when data are generated from a two step process. Additionally, the model is shown to allow for flexibility in distributional assumptions while nesting the classic Tobit model. A simulated data set is utilized to assess the potential loss in efficien...

Journal: :journal of research in health sciences 0
i mohammadfam a moghimbeigi

background: occupational injury is related to personal characteristics. this phenomenon is a controversial issue. this paper presents the relationships of certain occupational and individual characteristics with frequency of occupational injuries. methods : a standardized injury questionnaire was completed for 199 employees in a big iranian industrial company (mapna group) by the researcher in ...

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