dMOEW: The Marshall-Olkin Extended Weibull distribution

In RelDists: Estimation for some Reliability Distributions

The Marshall-Olkin Extended Weibull distribution

Description

Density, distribution function, quantile function, random generation and hazard function for the Marshall-Olkin Extended Weibull distribution with parameters mu, sigma and nu.

Usage

dMOEW(x, mu, sigma, nu, log = FALSE)

pMOEW(q, mu, sigma, nu, lower.tail = TRUE, log.p = FALSE)

qMOEW(p, mu, sigma, nu, lower.tail = TRUE, log.p = FALSE)

rMOEW(n, mu, sigma, nu)

hMOEW(x, mu, sigma, nu)

Arguments

x, q	vector of quantiles.
mu	parameter.
sigma	parameter.
nu	parameter.
log, log.p	logical; if TRUE, probabilities p are given as log(p).
lower.tail	logical; if TRUE (default), probabilities are P[X <= x], otherwise, P[X > x].
p	vector of probabilities.
n	number of observations.

Details

The Marshall-Olkin Extended Weibull distribution mu, sigma and nu has density given by

f(x) = \frac{μ σ ν (ν x)^{σ - 1} exp\{{-(ν x )^{σ}}\}}{\{1-(1-μ) exp\{{-(ν x )^{σ}}\} \}^{2}},

for x > 0.

Value

dMOEW gives the density, pMOEW gives the distribution function, qMOEW gives the quantile function, rMOEW generates random deviates and hMOEW gives the hazard function.

Author(s)

Amylkar Urrea Montoya, [e-mail]

References

\insertRef

almalki2014modificationsRelDists

\insertRef

ghitany2005RelDists

Examples

old_par <- par(mfrow = c(1, 1)) # save previous graphical parameters

## The probability density function
curve(dMOEW(x, mu=0.5, sigma=0.7, nu=1), from=0.001, to=1,
      col="red", ylab="f(x)", las=1)

## The cumulative distribution and the Reliability function
par(mfrow=c(1, 2))
curve(pMOEW(x, mu=0.5, sigma=0.7, nu=1),
      from=0.0001, to=2, col="red", las=1, ylab="F(x)")
curve(pMOEW(x, mu=0.5, sigma=0.7, nu=1, lower.tail=FALSE),
      from=0.0001, to=2, col="red", las=1, ylab="R(x)")

## The quantile function
p <- seq(from=0, to=0.99999, length.out=100)
plot(x=qMOEW(p, mu=0.5, sigma=0.7, nu=1), y=p, xlab="Quantile",
     las=1, ylab="Probability")
curve(pMOEW(x, mu=0.5, sigma=0.7, nu=1),
      from=0, add=TRUE, col="red")

## The random function
hist(rMOEW(n=100, mu=0.5, sigma=0.7, nu=1), freq=FALSE,
     xlab="x", ylim=c(0, 1), las=1, main="")
curve(dMOEW(x, mu=0.5, sigma=0.7, nu=1),
      from=0.001, to=2, add=TRUE, col="red")

## The Hazard function
curve(hMOEW(x, mu=0.5, sigma=0.7, nu=1), from=0.001, to=3,
      col="red", ylab="Hazard function", las=1)

par(old_par) # restore previous graphical parameters

RelDists documentation built on Dec. 23, 2022, 1:26 a.m.