unifed.mle: Maximum Likelihood Estimate for the unifed distribution
In unifed: The Unifed Distribution
Description
Usage
Arguments
Examples
Description
Maximum Likelihood Estimate for the unifed distribution
Usage
1
unifed.mle(x)
Arguments
x
A numeric vector with values in the interval [0,1].
Computes the maximum likelihood estimator of the canonical
parameter of the unifed distribution. It is assumed that the
elements of x come from independent and identically
distributed unifed random variables.
Examples
1
2
a.unifed.sample <- runifed(1000,10)
theta.mle <- unifed.mle(a.unifed.sample)
unifed documentation built on Jan. 31, 2022, 1:07 a.m.
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Description Usage Arguments Examples
Description
Maximum Likelihood Estimate for the unifed distribution
Usage
1 | unifed.mle(x)
|
Arguments
x |
A numeric vector with values in the interval [0,1]. Computes the maximum likelihood estimator of the canonical
parameter of the unifed distribution. It is assumed that the
elements of |
Examples
1 2 | a.unifed.sample <- runifed(1000,10)
theta.mle <- unifed.mle(a.unifed.sample)
|
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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