The generalized negative binomial distribution characterized by three parameters, has been used to fit data from various fields of study. The distribution can model data for which the variance is larger or smaller than the mean, however, it becomes truncated under certain conditions. This truncation error is investigated via a detailed error analysis that determines the parameter space when the model can be used in place of the truncated generalized negative binomial distribution. The fitting of a generalized negative. K. M. Ramachandran is
BackgroundThe negative binomial distribution is used commonly throughout biology as a model for over...
gnbstrat fits a maximum-likelihood generalized negative binomial with endogenous stratification regr...
2000 Mathematics Subject Classification: 62F15.The Negative Binomial model, which is generated by a ...
The generalized negative binomial distribution characterized by three parameters, has been used to f...
The generalized negative binomial distribution characterized by three parameters, has been used to f...
The negative binomial distribution was perhaps the first probability distribution, considered in sta...
A size biased generalized negative binomial distribution (SBGNBD) is defined and a recurrence relati...
In this paper, we propose a generalized likelihood ratio test to discernwhether a set of data fits a...
Negative binomial regression is commonly employed to analyze overdispersed count data. With small to...
Recent studies on biological data which vary somewhat from Poisson description have brought the nega...
The negative binomial distribution (NBD) and negative binomial processes have been used as natural m...
Recent studies on biological data which vary somewhat from Poisson description have brought the nega...
extensively used for the description of data too heterogeneous to be fitted by a Poisson distributio...
Negative binomial regression is commonly employed to analyze overdispersed count data. With small t...
We consider robust parametric procedures for univariate discrete distributions, focusing on the nega...
BackgroundThe negative binomial distribution is used commonly throughout biology as a model for over...
gnbstrat fits a maximum-likelihood generalized negative binomial with endogenous stratification regr...
2000 Mathematics Subject Classification: 62F15.The Negative Binomial model, which is generated by a ...
The generalized negative binomial distribution characterized by three parameters, has been used to f...
The generalized negative binomial distribution characterized by three parameters, has been used to f...
The negative binomial distribution was perhaps the first probability distribution, considered in sta...
A size biased generalized negative binomial distribution (SBGNBD) is defined and a recurrence relati...
In this paper, we propose a generalized likelihood ratio test to discernwhether a set of data fits a...
Negative binomial regression is commonly employed to analyze overdispersed count data. With small to...
Recent studies on biological data which vary somewhat from Poisson description have brought the nega...
The negative binomial distribution (NBD) and negative binomial processes have been used as natural m...
Recent studies on biological data which vary somewhat from Poisson description have brought the nega...
extensively used for the description of data too heterogeneous to be fitted by a Poisson distributio...
Negative binomial regression is commonly employed to analyze overdispersed count data. With small t...
We consider robust parametric procedures for univariate discrete distributions, focusing on the nega...
BackgroundThe negative binomial distribution is used commonly throughout biology as a model for over...
gnbstrat fits a maximum-likelihood generalized negative binomial with endogenous stratification regr...
2000 Mathematics Subject Classification: 62F15.The Negative Binomial model, which is generated by a ...