KuiperTestStat {Dowd} | R Documentation |
Plots cummulative density for Kuiper test and computes confidence interval for Kuiper test stat.
Description
Kuiper test statistic is a non parametric test for distribution equality and is closely related to KS test. Formally, the Kuiper test statistic is :
D*=\max_i\{F(X_i)-\hat{F(x_i)}+\max_i\{\hat{F}(X_i)-F(X_i)\}
Usage
KuiperTestStat(number.trials, sample.size, confidence.interval)
Arguments
number.trials |
Number of trials |
sample.size |
Sizes of the trial samples |
confidence.interval |
Confidence interval expressed as a fraction of 1 |
Value
Confidence Interval for KS test stat
Author(s)
Dinesh Acharya
References
Dowd, K. Measuring Market Risk, Wiley, 2007.
Examples
# Plots the cdf for Kuiper Test statistic and returns Kuiper confidence
# interval for 100 trials with 1000 sample size and 0.95 confidence
# interval.
KuiperTestStat(100, 1000, 0.95)
[Package Dowd version 0.12 Index]