mle_eep: Analytical solution of theta given eta in EEP model.
In GEC: Generalized Exponentiated Composite Distributions
mle_eep R Documentation
Analytical solution of theta given eta in EEP model.
Description
This function provides the analytical solution of theta for given eta EEP model.
Usage
mle_eep(s, m, n)
Arguments
s
A numeric value the sum of log(1/x_i^eta), where i is from 1 to m.
m
m is the number of data items less than the density change point.
n
n is the sample size, n has to be greater than m.
Details
mle_eep
Value
This function returns the Maximum Likelihood Estimate of theta for a given eta
Examples
mle_eep(5,2,5)
GEC documentation built on Oct. 24, 2023, 5:06 p.m.
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| mle_eep | R Documentation |
Analytical solution of theta given eta in EEP model.
Description
This function provides the analytical solution of theta for given eta EEP model.
Usage
mle_eep(s, m, n)
Arguments
s |
A numeric value the sum of log(1/x_i^eta), where i is from 1 to m. |
m |
m is the number of data items less than the density change point. |
n |
n is the sample size, n has to be greater than m. |
Details
mle_eep
Value
This function returns the Maximum Likelihood Estimate of theta for a given eta
Examples
mle_eep(5,2,5)
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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