Add to ORKGThe Poisson distribution is applied as an appropriate standard model to analyze count data. Because this distribution is known as a discrete distribution, representation of accurate confidence intervals for its distribution mean is extremely difficult. Approximate confidence intervals were presented for the Poisson distribution mean. The purpose of this study is to simultaneously compare several confidence intervals presented, according to the average coverage probability and accurate confidence coefficient and the average confidence interval length criteria
Computing a confidence interval for a population correlation coefficient is very important for resea...
In a previous paper Neerchal, Lacayo and Nussbaum (2007) explored the behavior of the well-known pro...
The Wald interval is easy to calculate; it is often used as the confidence interval for binomial pro...
A Poisson distribution is well used as a standard model for analyzing count data. Most of the usual ...
Includes bibliographical references (pages 60-61)Confidence intervals are a very useful tool for mak...
This paper proposes four new confidence intervals for the coefficient of variation of a Poisson dist...
The standard method of obtaining a two-sided confidence interval for the Poisson mean produces an in...
Results of numerical procedure of constructing confidence intervals for parameter of the Poisson dis...
This paper studies the interval estimation of three discrete distributions: thebinomial distribution...
The authors propose a new method for constructing a confidence interval for the expectation # of a ...
The coefficient of variation (CV) is a helpful quantity to describe the variation in evaluating resu...
The binomial and Poisson distributions are basis to many aspects of statistical data analysis. This ...
“The purpose of this thesis is to briefly review various properties which may be desirable for a sys...
In this note we consider coverage of confidence intervals calculated with and without systematic unc...
Methods to find a confidence interval for Poisson distributed variables are illuminated, especially ...
Computing a confidence interval for a population correlation coefficient is very important for resea...
In a previous paper Neerchal, Lacayo and Nussbaum (2007) explored the behavior of the well-known pro...
The Wald interval is easy to calculate; it is often used as the confidence interval for binomial pro...
A Poisson distribution is well used as a standard model for analyzing count data. Most of the usual ...
Includes bibliographical references (pages 60-61)Confidence intervals are a very useful tool for mak...
This paper proposes four new confidence intervals for the coefficient of variation of a Poisson dist...
The standard method of obtaining a two-sided confidence interval for the Poisson mean produces an in...
Results of numerical procedure of constructing confidence intervals for parameter of the Poisson dis...
This paper studies the interval estimation of three discrete distributions: thebinomial distribution...
The authors propose a new method for constructing a confidence interval for the expectation # of a ...
The coefficient of variation (CV) is a helpful quantity to describe the variation in evaluating resu...
The binomial and Poisson distributions are basis to many aspects of statistical data analysis. This ...
“The purpose of this thesis is to briefly review various properties which may be desirable for a sys...
In this note we consider coverage of confidence intervals calculated with and without systematic unc...
Methods to find a confidence interval for Poisson distributed variables are illuminated, especially ...
Computing a confidence interval for a population correlation coefficient is very important for resea...
In a previous paper Neerchal, Lacayo and Nussbaum (2007) explored the behavior of the well-known pro...
The Wald interval is easy to calculate; it is often used as the confidence interval for binomial pro...