MLE_WL: MLE in weighed Lindley distribution

In WLinfer: Statistical Inference in Weighted Lindley Distribution

MLE in weighed Lindley distribution

Description

MLE_WL returns maximum likelihood estimates of parameters. First, the estimate of phi is obtained from one dimensional non linear equation. Then, by plugging in the estimated phi, the estimate of lambda is easily obtained.

Usage

MLE_WL(y, init)

Arguments

y	a numeric vector of observations.
init	a initial value for estimate phi.

Details

These functions implement formulas given in Hyoung-Moon Kim. et al. (2020).

Value

A numeric vector of MLE for lambda and phi.

References

Hyoung-Moon Kim. and Yu-Hyeong Jang. (2020). New Closed-Form Estimators for Weighted Lindley Distribution. , submitted.

Examples

data <- fail_fiber
mme <- MME_WL(data)
modified_mme <- MMEm_WL(data)
mle <- MLE_WL(data, mme[2])
mlec <- MLEc_WL(data)

rbind(mme, modified_mme, mle, mlec)

WLinfer documentation built on Sept. 2, 2022, 9:06 a.m.