dEEG function

The Extended Exponential Geometric distribution

The Extended Exponential Geometric distribution

Density, distribution function, quantile function, random generation and hazard function for the Extended Exponential Geometric distribution with parameters mu and sigma.

dEEG(x, mu, sigma, log = FALSE) pEEG(q, mu, sigma, lower.tail = TRUE, log.p = FALSE) qEEG(p, mu, sigma, lower.tail = TRUE, log.p = FALSE) rEEG(n, mu, sigma) hEEG(x, mu, sigma)

Arguments

  • x, q: vector of quantiles.
  • mu: parameter.
  • sigma: 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.

Returns

dEEG gives the density, pEEG gives the distribution function, qEEG gives the quantile function, rEEG

generates random deviates and hEEG gives the hazard function.

Details

The Extended Exponential Geometric distribution with parameters mu, and sigmahas density given by

f(x)=μσexp(μx)(1(1σ)exp(μx))2,f(x)= \mu \sigma \exp(-\mu x)(1 - (1 - \sigma)\exp(-\mu x))^{-2},

for x>0x > 0, μ>0\mu > 0 and σ>0\sigma > 0.

Examples

old_par <- par(mfrow = c(1, 1)) # save previous graphical parameters ## The probability density function par(mfrow=c(1,1)) curve(dEEG(x, mu = 1, sigma =3), from = 0, to = 10, col = "red", las = 1, ylab = "f(x)") ## The cumulative distribution and the Reliability function par(mfrow = c(1, 2)) curve(pEEG(x, mu = 1, sigma =3), from = 0, to = 10, ylim = c(0, 1), col = "red", las = 1, ylab = "F(x)") curve(pEEG(x, mu = 1, sigma =3, 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 = qEEG(p = p, mu = 1, sigma =0.5), y = p, xlab = "Quantile", las = 1, ylab = "Probability") curve(pEEG(x, mu = 1, sigma =0.5), from = 0, add = TRUE, col = "red") ## The random function hist(rEEG(1000, mu = 1, sigma =1), freq = FALSE, xlab = "x", ylim = c(0, 0.9), las = 1, main = "") curve(dEEG(x, mu = 1, sigma =1), from = 0, add = TRUE, col = "red", ylim = c(0, 0.8)) ## The Hazard function par(mfrow=c(1,1)) curve(hEEG(x, mu = 1, sigma =0.5), from = 0, to = 2, col = "red", ylab = "Hazard function", las = 1) par(old_par) # restore previous graphical parameters

References

Rdpack::insert_ref(key="almalki2014modifications",package="RelDists")

Rdpack::insert_ref(key="adamidis2005extension",package="RelDists")

Author(s)

Johan David Marin Benjumea, johand.marin@udea.edu.co

  • Maintainer: Jaime Mosquera
  • License: GPL-3
  • Last published: 2022-12-22