Add to ORKGThe authors state new general results for computing exact confidence interval limits for usual one-parameter discrete distributions. Specific results for implementing an accurate and fast algorithm are made explicit for the binomial, negative binomial, Poisson and hypergeometric model
Includes bibliographical references (pages 60-61)Confidence intervals are a very useful tool for mak...
Confidence intervals and regions for the parameters of a distribution are constructed, following the...
This paper takes Brenner & Quan (The Statistician, 39, pp. 391-397) to task for their claim that a B...
The authors state new general results for computing exact confidence interval limits for usual one-p...
We study interval estimation for parameters of discrete distributions, focusing on thebinomial, Poi...
For discrete distributions, the standard method of producing a two-sided confidence interval generat...
For a hypergeometric distribution, denoted by Hyper(M,N,n), where N is the population size, M is the...
This paper studies the interval estimation of three discrete distributions: thebinomial distribution...
Easy to compute one-sided small sample conservative prediction intervals for binomial, Poisson, hype...
When collecting experimental data, the observable may be dichotomous. Sampling (eventually with repl...
28 pages, 1 article*Explicit Formulas for Confidence Interval Estimation in Discrete Distributions* ...
We present an efficient method of calculating exact confidence intervals for the hypergeometric para...
The authors propose a new method for constructing a confidence interval for the expectation # of a ...
20 pages, 1 article*Confidence Intervals for Discrete Distributions* (Casella, George; McCulloch, Ch...
Medical studies often involve a comparison between two outcomes, each collected from a sample. The p...
Includes bibliographical references (pages 60-61)Confidence intervals are a very useful tool for mak...
Confidence intervals and regions for the parameters of a distribution are constructed, following the...
This paper takes Brenner & Quan (The Statistician, 39, pp. 391-397) to task for their claim that a B...
The authors state new general results for computing exact confidence interval limits for usual one-p...
We study interval estimation for parameters of discrete distributions, focusing on thebinomial, Poi...
For discrete distributions, the standard method of producing a two-sided confidence interval generat...
For a hypergeometric distribution, denoted by Hyper(M,N,n), where N is the population size, M is the...
This paper studies the interval estimation of three discrete distributions: thebinomial distribution...
Easy to compute one-sided small sample conservative prediction intervals for binomial, Poisson, hype...
When collecting experimental data, the observable may be dichotomous. Sampling (eventually with repl...
28 pages, 1 article*Explicit Formulas for Confidence Interval Estimation in Discrete Distributions* ...
We present an efficient method of calculating exact confidence intervals for the hypergeometric para...
The authors propose a new method for constructing a confidence interval for the expectation # of a ...
20 pages, 1 article*Confidence Intervals for Discrete Distributions* (Casella, George; McCulloch, Ch...
Medical studies often involve a comparison between two outcomes, each collected from a sample. The p...
Includes bibliographical references (pages 60-61)Confidence intervals are a very useful tool for mak...
Confidence intervals and regions for the parameters of a distribution are constructed, following the...
This paper takes Brenner & Quan (The Statistician, 39, pp. 391-397) to task for their claim that a B...