bexpgeo_fit: Fits the bivariate exponential geometric distribution (BEG)...

In camponsah/BivMixDist: Fit bivariate continous and discrete distributions as well as provide EM algorithm for discrete Pareto

Description

This function computes the parameter estimates, confidence interval, deviance and covariance matrix for exponential geometric distribution.

Usage

bexpgeo_fit(data, level = 0.95)

Arguments

data	is bivariate vector (X,N) vector representing observations from BEG model
level	confidence level expressed between 0 and 1 (Default is 0.95)

Details

bexpgeo_fit fits BEG model to data.

Value

list of parameter estimates, confidence interval, deviance and covariance matrix

References

Kozubowski, T.J., & Panorska, A.K. (2005). A Mixed bivariate distribution with exponential and geometric marginals. Journal of Statistical Planning and Inference, 134, 501-520. https://doi.org/10.1016/j.jspi.2004.04.010

Examples

Data.df<-rbexpgeo(n=100,beta = 10,p=0.45)
fit<-bexpgeo_fit(Data.df,level = 0.95)
fit

camponsah/BivMixDist documentation built on Nov. 15, 2021, 3:11 a.m.