OptSig (version 1.0)

Power.Chisq: Function to calculate the power of a Chi-square test

Description

This function calculates the power of a Chi-square test, given the value of non-centrality parameter

Usage

Power.Chisq(df, ncp, alpha, Figure = TRUE)

Arguments

df

degree of freedom

ncp

a value of of the non-centality paramter

alpha

the level of significance

Figure

show graph if TRUE (default); No graph if FALSE

Value

Power

Power of the test

Crit.val

Critical value at alpha level of signifcance

Details

See Kim and Choi (2017)

References

Kim and Choi, 2017, Choosing the Level of Significance: A Decision-theoretic Approach: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2652773

See Also

Leamer, E. 1978, Specification Searches: Ad Hoc Inference with Nonexperimental Data, Wiley, New York.

Kim, JH and Ji, P. 2015, Significance Testing in Empirical Finance: A Critical Review and Assessment, Journal of Empirical Finance 34, 1-14. <DOI:http://dx.doi.org/10.1016/j.jempfin.2015.08.006>

Examples

Run this code
# NOT RUN {
Power.Chisq(df=5,ncp=5,alpha=0.05,Figure=TRUE)
# }

Run the code above in your browser using DataCamp Workspace