we.exp.test: WE test for exponentiality
In exptest: Tests for Exponentiality
Description
Usage
Arguments
Details
Value
Author(s)
References
Examples
Description
Performs the WE test for the composite hypothesis of exponentiality,
see e.g. Ascher (1990).
Usage
1
we.exp.test(x, nrepl=2000)
Arguments
x
a numeric vector of data values.
nrepl
the number of replications in Monte Carlo simulation.
Details
The test is based on the following statistic
WE =∑_{i=1}^n{(X_i-\overline{X})^2}/{≤ft(∑_{i=1}^n{X_i}\right)^2}.
The p-value is computed by Monte Carlo simulation.
Value
A list with class "htest" containing the following components:
statistic
the value of the WE test statistic.
p.value
the p-value for the test.
method
the character string "WE test for exponentiality".
data.name
a character string giving the name(s) of the data.
Author(s)
Ruslan Pusev and Maxim Yakovlev
References
Ascher, S. (1990): A survey of tests for exponentiality. — Communications in Statistics – Theory and Methods, vol. 19, pp. 1811–1825.
Examples
1
2
we.exp.test(rexp(100))
we.exp.test(runif(100, min = 50, max = 100))
exptest documentation built on May 1, 2019, 8:01 p.m.
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Description Usage Arguments Details Value Author(s) References Examples
Description
Performs the WE test for the composite hypothesis of exponentiality, see e.g. Ascher (1990).
Usage
1 | we.exp.test(x, nrepl=2000)
|
Arguments
x |
a numeric vector of data values. |
nrepl |
the number of replications in Monte Carlo simulation. |
Details
The test is based on the following statistic
WE =∑_{i=1}^n{(X_i-\overline{X})^2}/{≤ft(∑_{i=1}^n{X_i}\right)^2}.
The p-value is computed by Monte Carlo simulation.
Value
A list with class "htest" containing the following components:
statistic |
the value of the WE test statistic. |
p.value |
the p-value for the test. |
method |
the character string "WE test for exponentiality". |
data.name |
a character string giving the name(s) of the data. |
Author(s)
Ruslan Pusev and Maxim Yakovlev
References
Ascher, S. (1990): A survey of tests for exponentiality. — Communications in Statistics – Theory and Methods, vol. 19, pp. 1811–1825.
Examples
1 2 | we.exp.test(rexp(100))
we.exp.test(runif(100, min = 50, max = 100))
|
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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