rRCMT {RCMinification} | R Documentation |
Tailed Exponential and Weibull Random Coefficient Minification Process Simulator
Description
This function simulates sequences of tailed exponential and Weibull random coefficient minification process variates. Random coefficients are lognormal distributed with parameters mu and sigma.
Usage
rRCMT(n, p, p.delta, p.eps, lambda, gamma, mu, sigma, RCMTobj)
Arguments
n |
number of observations. |
p |
power for transformation from exponential to Weibull. |
p.delta |
tailed exponential probability parameter when preceding observation is 0 |
p.eps |
tailed exponential probability parameter when preceding observation is nonzero. |
lambda |
tailed exponential rate parameter when preceding observation is nonzero. |
gamma |
tailed exponential rate parameter when preceding observation is 0. |
mu |
mu parameter for lognormal distribution used to simulated random coefficients. |
sigma |
sigma parameter for lognormal distribution used to simulate random coefficients. |
RCMTobj |
list containing elements n, p, p.delta, p.eps, lambda and gamma |
Author(s)
L. Han
References
Han, L., Braun, W.J. and Loeppky (2018) Random Coefficient Minification Processes. Statistical Papers, pp 1-22.