Burr: The Burr Distribution

In mistr: Mixture and Composite Distributions

The Burr Distribution

Description

Density, distribution function, quantile function and random generation for the Burr distribution with parameters shape1 and shape2.

Usage

dburr(x, shape1, shape2, log = FALSE)

pburr(q, shape1, shape2, lower.tail = TRUE, log.p = FALSE)

qburr(p, shape1, shape2, lower.tail = TRUE, log.p = FALSE)

rburr(n, shape1, shape2)

Arguments

x, q	vector of quantiles.
shape1	shape parameter.
shape2	shape parameter.
log, log.p	logical; if TRUE, probabilities p are given as log(p), default: FALSE.
lower.tail	logical; if TRUE, probabilities are P[X ≤ x] otherwise, P[X > x], default: TRUE.
p	vector of probabilities.
n	number of observations.

Details

The Burr distribution function with shape1 parameter c and shape2 parameter k has density given by

f(x)=ckx^(c-1)/(1+x^c)^(k+1)

for x>0. The cumulative distribution function is

F(x)=1-(1+x^c)^-k

on x>0.

See https://en.wikipedia.org/wiki/Burr_distribution for more details.

Value

dburr gives the density, pburr gives the distribution function, qburr gives the quantile function, and rburr generates random deviates.

Invalid arguments will result in return value NaN, with a warning.

See Also

burrdist

Examples

dburr(seq(1, 5), 2, 2)
qburr(pburr(seq(1, 5), 2, 2), 2 ,2)
rburr(5, 2, 2)

mistr documentation built on March 7, 2023, 7:42 p.m.