validation

This function checks if the estimates from raw_est_eigp or raw_est_eep satisfy the pre-defined conditions for the parameters.

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

validation function

<dl><dt>data</dt>
<dd>Observations.</dd>
<dt>estimate</dt>
<dd>The data frame with 2 columns named 'theta' and 'eta'.</dd></dl>

Arguments

The validation Function for Model Parameters. — validation

<dl>

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


<dt>estimate</dt>
<dd>The data frame with 2 columns named 'theta' and 'eta'.</dd>

</dl>

validation: The validation Function for Model Parameters.

Description

Usage

Value

Arguments

Details

Examples