dBGE | R Documentation |
Density, distribution function, quantile function,
random generation and hazard function for the Beta Generalized Exponentiated distribution
with parameters mu
, sigma
, nu
and tau
.
dBGE(x, mu, sigma, nu, tau, log = FALSE) pBGE(q, mu, sigma, nu, tau, lower.tail = TRUE, log.p = FALSE) qBGE(p, mu, sigma, nu, tau, lower.tail = TRUE, log.p = FALSE) rBGE(n, mu, sigma, nu, tau) hBGE(x, mu, sigma, nu, tau)
x, q |
vector of quantiles. |
mu |
parameter. |
sigma |
parameter. |
nu |
parameter. |
tau |
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. |
The Beta Generalized Exponentiated Distribution with parameters mu
,
sigma
, nu
and tau
has density given by
f(x)= \frac{ν τ}{B(μ, σ)} \exp(-ν x)(1- \exp(-ν x))^{τ μ - 1} (1 - (1- \exp(-ν x))^τ)^{σ -1},
for x > 0, μ > 0, σ > 0, ν > 0 and τ > 0.
dBGE
gives the density, pBGE
gives the distribution
function, qBGE
gives the quantile function, rBGE
generates random deviates and hBGE
gives the hazard function.
Johan David Marin Benjumea, johand.marin@udea.edu.co
almalki2014modificationsRelDists
\insertRefbarreto2010betaRelDists
old_par <- par(mfrow = c(1, 1)) # save previous graphical parameters ## The probability density function curve(dBGE(x, mu = 1.5, sigma =1.7, nu=1, tau=1), from = 0, to = 3, col = "red", las = 1, ylab = "f(x)") ## The cumulative distribution and the Reliability function par(mfrow = c(1, 2)) curve(pBGE(x, mu = 1.5, sigma =1.7, nu=1, tau=1), from = 0, to = 6, ylim = c(0, 1), col = "red", las = 1, ylab = "F(x)") curve(pBGE(x, mu = 1.5, sigma =1.7, nu=1, tau=1, lower.tail = FALSE), from = 0, to = 6, ylim = c(0, 1), col = "red", las = 1, ylab = "R(x)") ## The quantile function p <- seq(from = 0, to = 0.99999, length.out = 100) plot(x = qBGE(p = p, mu = 1.5, sigma =1.7, nu=1, tau=1), y = p, xlab = "Quantile", las = 1, ylab = "Probability") curve(pBGE(x, mu = (1/4), sigma =1, nu=1, tau=2), from = 0, add = TRUE, col = "red") ## The random function hist(rBGE(1000, mu = 1.5, sigma =1.7, nu=1, tau=1), freq = FALSE, xlab = "x", ylim = c(0, 1), las = 1, main = "") curve(dBGE(x, mu = 1.5, sigma =1.7, nu=1, tau=1), from = 0, add = TRUE, col = "red", ylim = c(0, 0.5)) ## The Hazard function( par(mfrow=c(1,1)) curve(hBGE(x, mu = 0.9, sigma =0.5, nu=1, tau=1), from = 0, to = 2, col = "red", ylab = "Hazard function", las = 1) par(old_par) # restore previous graphical parameters
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