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With the notion of success in a series of trials extended to refer to a run of like outcomes, several new distributions are obtained as the result of sampling from an urn without replacement or with additional replacements. In this context, the hypergeometric, negative hypergeometric,...
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analysis is attractive. Two such models, the Poisson and negative binomial, are discussed. Robust estimation techniques that …
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The proportion of zeros in event-count processes may be inflated by an additional mechanism by which zeros are created. This has given rise to statistical models that accommodate zero inflation; these are available in Stata through the zip and zinb commands. The Vuong (1989, Econometrica 57:...
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only zeros, and the other is either a Poisson or a negative binomial data-generating process. Zero infl ated count … regression models such as the zero-inflated Poisson (ZIP), zeroinflated negative binomial (ZINB) regression models have been used … GLM, Poisson, NB, ZIP and ZINB to dental caries data set where the count data may exhibit evidence of many zeros and …
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. The statistical models developed are applications and generalizations of Poisson and Negative Binomial distributions. Our …
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Many studies on the adoption of precision technologies have generally used logit models to explain the adoption behavior of individuals. This study investigates factors affecting the number of specific types of precision agriculture technologies adopted by cotton farmers. Particular attention is...
Persistent link: https://www.econbiz.de/10008922545
Poisson and negative binomial regression methods are used to analyze the monthly time series data to determine the …
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Using Poisson regression and negative binomial regression, this paper presents an empirical comparison of four … that Poisson regression seems to be more appropriate for pedestrian trip generation modeling in terms of x2 ratio test …-dispersed dependent variable than Poisson regression. …
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