SNGLL {AmoudSurv}

New Generalized Log-logistic (NGLL) survivor function.

Description

New Generalized Log-logistic (NGLL) survivor function.

Usage

SNGLL(t, kappa, alpha, eta, zeta)

Arguments

t

: positive argument

kappa

: scale parameter

alpha

: shape parameter

eta

: shape parameter

zeta

: shape parameter

Value

the value of the NGLL survivor function

Author(s)

Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Christophe Chesneau [e-mail]

References

Hassan Muse, A. A new generalized log-logistic distribution with increasing, decreasing, unimodal and bathtub-shaped hazard rates: properties and applications, in Proceedings of the Symmetry 2021 - The 3rd International Conference on Symmetry, 8–13 August 2021, MDPI: Basel, Switzerland, doi:10.3390/Symmetry2021-10765.

Examples

t=runif(10,min=0,max=1)
SNGLL(t=t, kappa=0.5, alpha=0.35, eta=0.7, zeta=1.4)