The Odd Weibull Distribution
Density, distribution function, quantile function, random generation and hazard function for the Odd Weibull distribution with parameters mu
, sigma
and nu
.
dOW(x, mu, sigma, nu, log = FALSE) pOW(q, mu, sigma, nu, lower.tail = TRUE, log.p = FALSE) qOW(p, mu, sigma, nu, lower.tail = TRUE, log.p = FALSE) rOW(n, mu, sigma, nu) hOW(x, mu, sigma, nu)
x, q
: vector of quantiles.mu
: parameter one.sigma
: parameter two.nu
: parameter three.log, log.p
: logical; if TRUE, probabilities p are given as log(p).lower.tail
: logical; if TRUE (default), probabilities are P[T <= t], otherwise, P[T > t].p
: vector of probabilities.n
: number of observations.dOW
gives the density, pOW
gives the distribution function, qOW
gives the quantile function, rOW
generates random deviates and hOW
gives the hazard function.
The Odd Weibull with parameters mu
, sigma
and nu
has density given by
c("f(x) = \\left( \\frac{\\sigma\\nu}{x} \\right) (\\mu x)^\\sigma\n", " e^{(\\mu x)^\\sigma} \\left(e^{(\\mu x)^{\\sigma}}-1\\right)^{\\nu-1}\n", " \\left[ 1 + \\left(e^{(\\mu x)^{\\sigma}}-1\\right)^\\nu \\right]^{-2}")
for x > 0.
old_par <- par(mfrow = c(1, 1)) # save previous graphical parameters ## The probability density function curve(dOW(x, mu=2, sigma=3, nu=0.2), from=0, to=4, ylim=c(0, 2), col="red", las=1, ylab="f(x)") ## The cumulative distribution and the Reliability function par(mfrow = c(1, 2)) curve(pOW(x, mu=2, sigma=3, nu=0.2), from=0, to=4, ylim=c(0, 1), col="red", las=1, ylab="f(x)") curve(pOW(x, mu=2, sigma=3, nu=0.2, lower.tail=FALSE), from=0, to=4, ylim=c(0, 1), col="red", las=1, ylab = "R(x)") ## The quantile function p <- seq(from=0, to=0.998, length.out=100) plot(x = qOW(p, mu=2, sigma=3, nu=0.2), y=p, xlab="Quantile", las=1, ylab="Probability") curve(pOW(x, mu=2, sigma=3, nu=0.2), from=0, add=TRUE, col="red") ## The random function hist(rOW(n=10000, mu=2, sigma = 3, nu = 0.2), freq=FALSE, ylim = c(0, 2), xlab = "x", las = 1, main = "") curve(dOW(x, mu=2, sigma=3, nu=0.2), from=0, ylim=c(0, 2), add=TRUE, col = "red") ## The Hazard function par(mfrow=c(1,1)) curve(hOW(x, mu=2, sigma=3, nu=0.2), from=0, to=2.5, ylim=c(0, 3), col="red", ylab="Hazard function", las=1) par(old_par) # restore previous graphical parameters
Rdpack::insert_ref(key="Cooray2006",package="RelDists")
Jaime Mosquera Gutiérrez jmosquerag@unal.edu.co