An efficient score statistic for testing the equality of the means of several groups of count data in the presence of a common dispersion parameter is introduced and a new approximation to its distribution is given. The performance of the efficient score statistic using this approximation, the original efficient score statistic approximated by X 2 (t -1), the likelihood ratio statistic and four more ANOVA methods based on raw data or transformed data are compared in terms of size and power by using Monte Carlo simulations. The efficient score statistic with its new approximation is recommended. An application is given
While over-dispersion in capture–recapture studies is well known to lead to poor estimation of popul...
The Poisson and the Negative Binomial distributions are commonly used as analytic tools to model cou...
Counting by weighing is a rapid procedure for obtaining N items (e.g., seeds) based on weight rather...
Inadequacy of the Poisson assumption, due to the presence of overdispersion, in analysing count data...
Two C(a) statistics (Neyman, 1959) for testing the equality of the means of several groups of count ...
The Poisson regression model remains an important tool in the econometric analysis of count data. In...
This thesis submitted in partial fulfillment of the requirements for the degree of Master of Science...
I begin this paper by describing several methods that can be used to analyze count data. Starting wi...
I begin this paper by describing several methods that can be used to analyze count data. Starting wi...
The Poisson regression model remains an important tool in the econometric analysis of count data. In...
Discrete Weibul (DW) is considered to have the ability to capture under and over-dispersion simultan...
In many applications of binomial data independent observations in different groups can have positive...
This PhD thesis contributes to the modeling of overdispered count data in three ways. First, we exte...
Data in the form of counts or proportions arise in biology, biomedical, toxicology, epidemiology and...
In modeling count data collected from manufacturing processes, eco-nomic series, disease outbreaks a...
While over-dispersion in capture–recapture studies is well known to lead to poor estimation of popul...
The Poisson and the Negative Binomial distributions are commonly used as analytic tools to model cou...
Counting by weighing is a rapid procedure for obtaining N items (e.g., seeds) based on weight rather...
Inadequacy of the Poisson assumption, due to the presence of overdispersion, in analysing count data...
Two C(a) statistics (Neyman, 1959) for testing the equality of the means of several groups of count ...
The Poisson regression model remains an important tool in the econometric analysis of count data. In...
This thesis submitted in partial fulfillment of the requirements for the degree of Master of Science...
I begin this paper by describing several methods that can be used to analyze count data. Starting wi...
I begin this paper by describing several methods that can be used to analyze count data. Starting wi...
The Poisson regression model remains an important tool in the econometric analysis of count data. In...
Discrete Weibul (DW) is considered to have the ability to capture under and over-dispersion simultan...
In many applications of binomial data independent observations in different groups can have positive...
This PhD thesis contributes to the modeling of overdispered count data in three ways. First, we exte...
Data in the form of counts or proportions arise in biology, biomedical, toxicology, epidemiology and...
In modeling count data collected from manufacturing processes, eco-nomic series, disease outbreaks a...
While over-dispersion in capture–recapture studies is well known to lead to poor estimation of popul...
The Poisson and the Negative Binomial distributions are commonly used as analytic tools to model cou...
Counting by weighing is a rapid procedure for obtaining N items (e.g., seeds) based on weight rather...