order_eg: Random Sampling of k-th Order Statistics from a Exponentiated...

In orders: Sampling from k-th Order Statistics of New Families of Distributions

Random Sampling of k-th Order Statistics from a Exponentiated Generalized G Distribution

Description

order_eg is used to obtain a random sample of k-th order order statistic from a Exponentiated Generalized G Distribution.

Usage

order_eg(size, spec, a, b, k, n, p = 0.5, alpha = 0.05, ...)

Arguments

size	numeric, represents the size of the sample.
spec	character, represents an specific G distribution. Possible values "norm", "exp","lnorm","chisq".
a	numeric, represents the first shape parameter. Default value is 1.
b	numeric, represents the second shape parameter. Default value is 1.
k	numeric, represents the k-th smallest value from a sample.
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 the G distribution.

Value

A list with a random sample of order statistics from a Exponentiated Generalized G 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.

Author(s)

Carlos Alberto Cardozo Delgado <[e-mail]>.

References

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

Naradajah, S. and Rocha, R. (2016) Newdistns: An R Package for New Families of Distributions, Journal of Statistical Software.

Examples

library(orders)
# A sample of size 10 of the 3-th order statistics from
# a Exponentiated Generalized Exponential Distribution
order_eg(10,"exp",1,1,k=3,n=50,p=0.5,alpha=0.02)
# A sample of size 10 of the 3-th order statistics from
# a Exponentiated Generalized Normal Distribution
order_eg(10,"norm",1,1,k=3,n=50,p=0.5)
# A sample of size 10 of the 3-th order statistics from
# a Exponentiated Generalized Log-normal Distribution
order_eg(10,"lnorm",1,1,k=3,n=50,p=0.5)
# A sample of size 10 of the 3-th order statistics from
# a Exponentiated Generalized Chi-square Distribution
order_eg(10,"chisq",1,1,k=3,n=50,p=0.5,df=3)

orders documentation built on Nov. 14, 2023, 9:07 a.m.