MPPoisson: Most Powerful Test for Poisson Distribution
In ACSWR: A Companion Package for the Book "A Course in Statistics with R"
Description
Usage
Arguments
Author(s)
Description
The most powerful test for a sample from Poisson distribution is given here. The test is obtained by an application of the Neyman-Pearson lemma.
Usage
1
MPPoisson(Hlambda, Klambda, alpha, n)
Arguments
Hlambda
parameter under hypothesis H
Klambda
parameter under hypothesis K
alpha
size of the MP test
n
sample size
Author(s)
Prabhanjan N. Tattar
ACSWR documentation built on May 2, 2019, 6:53 a.m.
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Description Usage Arguments Author(s)
Description
The most powerful test for a sample from Poisson distribution is given here. The test is obtained by an application of the Neyman-Pearson lemma.
Usage
1 | MPPoisson(Hlambda, Klambda, alpha, n)
|
Arguments
Hlambda |
parameter under hypothesis H |
Klambda |
parameter under hypothesis K |
alpha |
size of the MP test |
n |
sample size |
Author(s)
Prabhanjan N. Tattar
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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