MME_WL: Estimating parameters in weighed Lindley distribution

In WLinfer: Statistical Inference in Weighted Lindley Distribution

Estimating parameters in weighed Lindley distribution

Description

Parameter estimate functions: MME_WL, MMEm_WL, MLE_WL and MLEc_WL can be used to estimate parameters in weighed Lindley distribution. MME_WL, MMEm_WL and MLEc_WL have closed form values for parameters, lambda and phi. On the other hands, parameter lambda in MLE_WL is based on numerical solution. It use the function nleqslv for solving one variable equation.

Usage

MME_WL(x)

MMEm_WL(x)

MLEc_WL(x)

Arguments

x	a numeric vector.

Details

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

Value

A numeric vector of lambda and phi estimated by each method.

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.