exp_eep

This function return the negative log density of a sample item if if it follows exponential in a 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

exp_eep function

<dl><dt>x</dt>
<dd>The value of a sample item.</dd>
<dt>theta</dt>
<dd>The location parameter for the base distribution (eta = 1). The value needs to be positive.</dd>
<dt>eta</dt>
<dd>The exponent parameter. The value provided needs to be positive.</dd></dl>

Arguments

The negative log density of a sample item if it follows exponential in a EEP model — exp_eep

<dl>

<dt>x</dt>
<dd>The value of a sample item.</dd>


<dt>theta</dt>
<dd>The location parameter for the base distribution (eta = 1). The value needs to be positive.</dd>


<dt>eta</dt>
<dd>The exponent parameter. The value provided needs to be positive.</dd>

</dl>

exp_eep: The negative log density of a sample item if it follows exponential in a EEP model

Description

Usage

Value

Arguments

Details

Examples