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 0Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.