Density, distribution function, quantile function and random generation for the truncated Burr distribution (type XII).
dtburr(x, alpha, rho, eta = 1, endpoint = Inf, log = FALSE)
ptburr(x, alpha, rho, eta = 1, endpoint = Inf, lower.tail = TRUE, log.p = FALSE)
qtburr(p, alpha, rho, eta = 1, endpoint = Inf, lower.tail = TRUE, log.p = FALSE)
rtburr(n, alpha, rho, eta = 1, endpoint = Inf)
dtburr
gives the density function evaluated in ptburr
the CDF evaluated in qtburr
the quantile function evaluated in
rtburr
returns a random sample of length
Vector of quantiles.
Vector of probabilities.
Number of observations.
The
The
The 1
.
Endpoint of the truncated Burr distribution. The default value is Inf
for which the truncated Burr distribution corresponds to the ordinary Burr distribution.
Logical indicating if the densities are given as FALSE
.
Logical indicating if the probabilities are of the form TRUE
) or FALSE
). Default is TRUE.
Logical indicating if the probabilities are given as FALSE
.
Tom Reynkens.
The Cumulative Distribution Function (CDF) of the truncated Burr distribution is equal to
Burr
, Distributions
# Plot of the PDF
x <- seq(0, 10, 0.01)
plot(x, dtburr(x, alpha=2, rho=-1, endpoint=9), xlab="x", ylab="PDF", type="l")
# Plot of the CDF
x <- seq(0, 10, 0.01)
plot(x, ptburr(x, alpha=2, rho=-1, endpoint=9), xlab="x", ylab="CDF", type="l")
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