نتایج جستجو برای: count models

تعداد نتایج: 1047734  

Journal: :Transportation Research Procedia 2017

Journal: :Journal of Computational and Graphical Statistics 2017

Journal: :Mathematical Population Studies 1994

Journal: :Hacettepe Journal of Mathematics and Statistics 2016

Journal: :Journal of Statistical Software 2008

ژورنال: اندیشه آماری 2018

In this paper‎, ‎we ‎propose ‎Hurdle regression models for analysing count responses with extra zeros‎. A method of estimating maximum likelihood is used to estimate model parameters. The application of the proposed model is presented in insurance dataset‎. In this example‎, there are many numbers of claims equal to zero is considered that clarify the application of the model with a zero-inflat...

1996
Rainer Winkelmann

This paper shows how truncated censored hurdle zero in ated and underreported count models can be interpreted as models with selectivity Until recently such count data models have commonly imposed independence between the count generating mechanism and the selection mechanism Such an assumption is unrealistic in most applications and various models with endogenous selectivity correlation betwee...

2008
WenSui Liu Jimmy Cela

Poisson regression has been widely used to model count data. However, it is often criticized for its restrictive assumption of equi-dispersion, meaning equality between the variance and the mean. In real-life applications, count data often exhibits over-dispersion and excess zeroes. While Negative binomial regression is able to model count data with over-dispersion, both Hurdle (Mullahy, 1986) ...

2015
RaineR Winkelmann Rainer Winkelmann

Often, economic policies are directed toward outcomes that are measured as counts. Examples of economic variables that use a basic counting scale are number of children as an indicator of fertility, number of doctor visits as an indicator of health care demand, and number of days absent from work as an indicator of employee shirking. Several econometric methods are available for analyzing such ...

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