ci.Wald: The simple Wald type interval for multinomial proportions...

In RajeswaranV/vcdPlus: Summary and inference of categorical data and contingency tables

Description

The simple Wald type interval for multinomial proportions which is symmetrical about the sample proportions. In this method no continuity corrections are made to avoid zero width intervals when the sample proportions are at extreme.

Usage

ci.Wald(inpmat, alpha)

Arguments

inpmat	- The input matrix
alpha	- Alpha value (significance level required)

Value

A list of dataframes

Wald.Volume	Wald Volume
Wald.UpLim	Dataframe of Wald Upper Limits
Wald.LowLim	Dataframe of Wald Lower Limits
Wald.Length	Dataframe of Wald Lengths

Author(s)

Subbiah and Balakrishna S Kesavan

References

[1] Wald, A Tests of statistical hypotheses concerning several parameters when the number of observations is large, Trans. Am. Math. Soc. 54 (1943) 426-482.

See Also

Other Confidence Interval for Multinomial Proportion: ci.BMDU, ci.FS, ci.GM, ci.QH, ci.SG, ci.WS, ci.WaldCC

Examples

x = c(56,72,73,59,62,87,68,99,98)
inpmat = cbind(x[1:3],x[4:6],x[7:9])
alpha=0.05
ci.Wald(inpmat,alpha)

RajeswaranV/vcdPlus documentation built on May 27, 2019, 7:28 a.m.