The Truncated Pareto Distribution
Density, distribution function, quantile function and random generation
for the upper truncated Pareto(I) distribution with parameters
lower
, upper
and shape
.
dtruncpareto(x, lower, upper, shape, log = FALSE) ptruncpareto(q, lower, upper, shape, lower.tail = TRUE, log.p = FALSE) qtruncpareto(p, lower, upper, shape) rtruncpareto(n, lower, upper, shape)
See truncpareto
, the VGAM family function
for estimating the parameter k by maximum likelihood estimation,
for the formula of the probability density function and the
range restrictions imposed on the parameters.
dtruncpareto
gives the density,
ptruncpareto
gives the distribution function,
qtruncpareto
gives the quantile function, and
rtruncpareto
generates random deviates.
T. W. Yee and Kai Huang
Aban, I. B., Meerschaert, M. M. and Panorska, A. K. (2006). Parameter estimation for the truncated Pareto distribution, Journal of the American Statistical Association, 101(473), 270–277.
lower <- 3; upper <- 8; kay <- exp(0.5) ## Not run: xx <- seq(lower - 0.5, upper + 0.5, len = 401) plot(xx, dtruncpareto(xx, low = lower, upp = upper, shape = kay), main = "Truncated Pareto density split into 10 equal areas", type = "l", ylim = 0:1, xlab = "x") abline(h = 0, col = "blue", lty = 2) qq <- qtruncpareto(seq(0.1, 0.9, by = 0.1), low = lower, upp = upper, shape = kay) lines(qq, dtruncpareto(qq, low = lower, upp = upper, shape = kay), col = "purple", lty = 3, type = "h") lines(xx, ptruncpareto(xx, low = lower, upp = upper, shape = kay), col = "orange") ## End(Not run) pp <- seq(0.1, 0.9, by = 0.1) qq <- qtruncpareto(pp, lower = lower, upper = upper, shape = kay) ptruncpareto(qq, lower = lower, upper = upper, shape = kay) qtruncpareto(ptruncpareto(qq, lower = lower, upper = upper, shape = kay), lower = lower, upper = upper, shape = kay) - qq # Should be all 0
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