lengthAWD: Performs expected length and sum of length of Adjusted Wald...

In proportion: Inference on Single Binomial Proportion and Bayesian Computations

Description

Performs expected length and sum of length of Adjusted Wald method

Usage

lengthAWD(n, alp, h, a, b)

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"

Details

Evaluation of adjusted Wald-type interval using sum of length of the n + 1 intervals

Value

A dataframe with

sumLen	The sum of the expected length
explMean	The mean of the expected length
explSD	The Standard Deviation of the expected length
explMax	The max of the expected length
explLL	The Lower limit of the expected length calculated using mean - SD
explUL	The Upper limit of the expected length calculated using mean + SD

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 Expected length of adjusted methods: PlotexplAAS, PlotexplAAll, PlotexplALR, PlotexplALT, PlotexplASC, PlotexplATW, PlotexplAWD, PlotlengthAAS, PlotlengthAAll, PlotlengthALR, PlotlengthALT, PlotlengthASC, PlotlengthATW, PlotlengthAWD, lengthAAS, lengthAAll, lengthALR, lengthALT, lengthASC, lengthATW

Examples

n= 10; alp=0.05; h=2;a=1;b=1;
lengthAWD(n,alp,h,a,b)

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