order_benini: Random Sampling of k-th Order Statistics from a Benini Distribution

Description

order_benini is used to obtain a random sample of the k-th order statistic from a Benini distribution and some associated quantities of interest.

Usage

order_benini(size, k, shape1, scale, n, p = 0.5, alpha = 0.05, ...)

Value

A list with a random sample of order statistics from a Benini Distribution, the value of its join probability density function evaluated in the random sample and an approximate (1 - alpha) confidence interval for the population percentile p of the distribution of the k-th order statistic.

Arguments

size: numeric, represents the size of the sample.
k: numeric, represents the K-th smallest value from a sample.
shape1: numeric, represents a first shape parameter value. Must be strictly positive.
scale: numeric, represents scale parameter values. Must be strictly positive.
n: numeric, represents the size of the sample to compute the order statistic from.
p: numeric, represents the 100p percentile for the distribution of the k-th order statistic. Default value is population median, p = 0.5.
alpha: numeric, (1 - alpha) represents the confidence of an interval for the population percentile p of the distribution of the k-th order statistic. Default value is 0.05.
...: represents others parameters of a Benini distribution.

Author

Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>.

References

Gentle, J, Computational Statistics, First Edition. Springer - Verlag, 2009.

Kleiber, C. and Kotz, S. (2003). Statistical Size Distributions in Economics and Actuarial Sciences, Hoboken, NJ, USA: Wiley-Interscience.

Examples

Run this code

library(orders)
# A sample of size 10 of the 3-th order statistics from a Benini Distribution
order_benini(size=10,shape1=0.75,scale=1,k=3,n=50,p=0.5,alpha=0.02)

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