hogg.test: Hogg's Adaptive Test
In npsm: Nonparametric Statistical Methods
hogg.test R Documentation
Hogg's Adaptive Test
Description
Based on selector statistics (Q1 & Q2) one of four score functions is choosen.
A rank test and p-value is then calculated based on it.
Usage
hogg.test(x, y, ...)
Arguments
x
n by 1 vector
y
m by 1 vector
...
additional arguments. currently not used
Value
statistic
Value of the test statistic.
p.value
p-value based on a normal approximation.
scores
Which of the score functions was choosen.
Author(s)
John Kloke, Patrick Kimes
References
Hogg, R. McKean, J, Craig, A (2013) Introduction to Mathematical Statistics, 7th Ed. Boston: Pearson.
Examples
hogg.test(rt(20,1),rt(22,1)+0.2)
npsm documentation built on Nov. 15, 2023, 1:08 a.m.
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| hogg.test | R Documentation |
Hogg's Adaptive Test
Description
Based on selector statistics (Q1 & Q2) one of four score functions is choosen. A rank test and p-value is then calculated based on it.
Usage
hogg.test(x, y, ...)
Arguments
x |
n by 1 vector |
y |
m by 1 vector |
... |
additional arguments. currently not used |
Value
statistic |
Value of the test statistic. |
p.value |
p-value based on a normal approximation. |
scores |
Which of the score functions was choosen. |
Author(s)
John Kloke, Patrick Kimes
References
Hogg, R. McKean, J, Craig, A (2013) Introduction to Mathematical Statistics, 7th Ed. Boston: Pearson.
Examples
hogg.test(rt(20,1),rt(22,1)+0.2)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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