covpALR: Coverage Probability of Adjusted Likelihood method for given...

In proportion: Inference on Single Binomial Proportion and Bayesian Computations

Description

Coverage Probability of Adjusted Likelihood method for given n

Usage

covpALR(n, alp, h, a, b, t1, t2)

Arguments

n	- Number of trials
alp	- Alpha value (significance level required)
h	- Adding factor
a	- Beta parameters for hypo "p"
b	- Beta parameters for hypo "p"
t1	- Lower tolerance limit to check the spread of coverage Probability
t2	- Upper tolerance limit to check the spread of coverage Probability

Details

Evaluation of adjusted Likelihood ratio limits using coverage probability, root mean square statistic, and the proportion of proportion lies within the desired level of coverage

Value

A dataframe with

mcpAL	Adjusted Likelihood Coverage Probability
micpAL	Adjusted Likelihood minimum coverage probability
RMSE_N	Root Mean Square Error from nominal size
RMSE_M	Root Mean Square Error for Coverage Probability
RMSE_MI	Root Mean Square Error for minimum coverage probability
tol	Required tolerance for coverage probability

References

[1] 1998 Agresti A and Coull BA. Approximate is better than "Exact" for interval estimation of binomial proportions. The American Statistician: 52; 119 - 126.

[2] 1998 Newcombe RG. Two-sided confidence intervals for the single proportion: Comparison of seven methods. Statistics in Medicine: 17; 857 - 872.

[3] 2008 Pires, A.M., Amado, C. Interval Estimators for a Binomial Proportion: Comparison of Twenty Methods. REVSTAT - Statistical Journal, 6, 165-197.

See Also

Other Coverage probability of adjusted methods: PlotcovpAAS, PlotcovpAAll, PlotcovpALR, PlotcovpALT, PlotcovpASC, PlotcovpATW, PlotcovpAWD, covpAAS, covpAAll, covpALT, covpASC, covpATW, covpAWD

Examples

n= 10; alp=0.05; h=2;a=1;b=1; t1=0.93;t2=0.97
covpALR(n,alp,h,a,b,t1,t2)

proportion documentation built on May 1, 2019, 7:54 p.m.