mle_iter_eep

This function finds the analytical solution of theta given eta and data in EEP model.

Contains the framework of the estimation, sampling, and hypotheses testing for two special distributions (Exponentiated Exponential-Pareto and Exponentiated Inverse Gamma-Pareto) within the family of Generalized Exponentiated Composite distributions. The detailed explanation and the applications of these two distributions were introduced in Bowen Liu, Malwane M.A. Ananda (2022) <doi:10.1080/03610926.2022.2050399>, Bowen Liu, Malwane M.A. Ananda (2022) <doi:10.3390/math10111895>, and Bowen Liu, Malwane M.A. Ananda (2022) <doi:10.3390/app13010645>.

Bowen Liu

Generalized Exponentiated Composite Distributions

Malwane M.A. Ananda

Dwaipayan Mukhopadhyay

mle_iter_eep function

<dl><dt>data</dt>
<dd>Observations.</dd>
<dt>eta</dt>
<dd>The exponent parameter. This value is greater than 0.</dd></dl>

Arguments

Iteration function to find the analytical solution of theta given eta and data in EEP model. — mle_iter_eep

<dl>

<dt>data</dt>
<dd>Observations.</dd>


<dt>eta</dt>
<dd>The exponent parameter. This value is greater than 0.</dd>

</dl>

mle_iter_eep: Iteration function to find the analytical solution of theta given eta and data in EEP model.

Description

Usage

Value

Arguments

Details

Examples