28 pages, 1 article*Explicit Formulas for Confidence Interval Estimation in Discrete Distributions* (McCulloch, Charles E.; Casella, George) 28 page
Using two measurements, we produce an estimate of the mean and the sample standard deviation. We con...
Medical studies often involve a comparison between two outcomes, each collected from a sample. The p...
The subject of this thesis is the point estimate and interval estimates of the binomial proportion. ...
20 pages, 1 article*Confidence Intervals for Discrete Distributions* (Casella, George; McCulloch, Ch...
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...
When collecting experimental data, the observable may be dichotomous. Sampling (eventually with repl...
The use of confidence intervals has become standard in the presentation of statistical results in me...
30 pages, 1 article*Confidence Intervals for P from Normal Samples* (Lansky, D. M.; Casella, G.; McC...
For discrete distributions, the standard method of producing a two-sided confidence interval generat...
32 pages, 1 article*Empirical Bayes Confidence Estimation* (George, Edward I.; Casella, George) 32 p...
Confidence intervals for the ratio of scale parameters are constructed in general families of distri...
Confidence interval, Coverage probability, Empirical likelihood method, Endpoint, 62G32, 62G15,
Estimation is a branch of statistics that deals with estimating the values of parameters of an under...
27 pages, 1 article*Conditional Confidence of Improved Variance Intervals* (Goutis, Constantinos; Ca...
Using two measurements, we produce an estimate of the mean and the sample standard deviation. We con...
Medical studies often involve a comparison between two outcomes, each collected from a sample. The p...
The subject of this thesis is the point estimate and interval estimates of the binomial proportion. ...
20 pages, 1 article*Confidence Intervals for Discrete Distributions* (Casella, George; McCulloch, Ch...
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...
When collecting experimental data, the observable may be dichotomous. Sampling (eventually with repl...
The use of confidence intervals has become standard in the presentation of statistical results in me...
30 pages, 1 article*Confidence Intervals for P from Normal Samples* (Lansky, D. M.; Casella, G.; McC...
For discrete distributions, the standard method of producing a two-sided confidence interval generat...
32 pages, 1 article*Empirical Bayes Confidence Estimation* (George, Edward I.; Casella, George) 32 p...
Confidence intervals for the ratio of scale parameters are constructed in general families of distri...
Confidence interval, Coverage probability, Empirical likelihood method, Endpoint, 62G32, 62G15,
Estimation is a branch of statistics that deals with estimating the values of parameters of an under...
27 pages, 1 article*Conditional Confidence of Improved Variance Intervals* (Goutis, Constantinos; Ca...
Using two measurements, we produce an estimate of the mean and the sample standard deviation. We con...
Medical studies often involve a comparison between two outcomes, each collected from a sample. The p...
The subject of this thesis is the point estimate and interval estimates of the binomial proportion. ...