gep.mle: Maximum likelihood estimation of the GEP, EP and PE...

In geppe: Generalised Exponential Poisson and Poisson Exponential Distributions

Maximum likelihood estimation of the GEP, EP and PE distributions

Description

Maximum likelihood estimation of the GEP, EP and PE distributions.

Usage

epois.mle(x)
gep.mle(x)
pe.mle(x)

Arguments

x	A numerical vector with non negative values.

Details

Maximum likelihood estimation of the EP, GEP and PE distributions is performed.

Value

A list including:

param	A vector with the estimated values of \alpha, \beta, \theta, \lambda, depending on the distribution used.
loglik	The log-likelihood value of the distribution.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris [e-mail].

References

Barreto-Souza W. and Cribari-Neto F. (2009). A generalization of the exponential-Poisson distribution. Statistics and Probability Letters, 79(24): 2493–2500.

Louzada F., Ramos P. L. and Ferreira H. P. (2020). Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence. Communications in Statistics-Simulation and Computation, 49(4): 1024–1043.

Rodrigues G. C., Louzada F. and Ramos P. L. (2018). Poisson-exponential distribution: different methods of estimation. Journal of Applied Statistics, 45(1): 128–144.

See Also

rgep

Examples

x <- repois( 1000, 1, 3)
epois.mle(x)

geppe documentation built on June 24, 2024, 5:08 p.m.