raw_est_eep: The Optimization Function for EEP Maximum Likelihood...

In GEC: Generalized Exponentiated Composite Distributions

The Optimization Function for EEP Maximum Likelihood Estimation.

Description

This function serves as the optimization function for EEP at different locations of density change points.

Usage

raw_est_eep(data, init = c(1, 1), lower_bound = c(0.01, 0.01))

Arguments

data	Observations.
init	The vector of initial values of the model parameters. The default is c(1,1).
lower_bound	The vector of the lower bound for the parameters. The default is c(0.01,0.01).

Details

raw_est_eep

Value

The matrix with estimates of theta and eta for n-1 different locations of density change points (1st column for theta, 2nd column for eta).

Examples

raw_est_eep(seq(1:100))

GEC documentation built on Oct. 24, 2023, 5:06 p.m.