order_sm | R Documentation |
order_sm
is used to obtain a random sample of the k-th order statistic from a Singh-Maddala distribution and some associated quantities of interest.
order_sm(size, k, shape1, shape2, scale, n, p = 0.5, alpha = 0.05, ...)
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. |
shape2 |
numeric, represents a second 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 Singh-Maddala distribution. |
A list with a random sample of order statistics from a Singh-Maddala 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.
Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>.
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.
library(orders)
# A sample of size 10 of the 3-th order statistics from a Singh-Maddala Distribution
order_sm(size=10,shape1=1,shape2=2,scale=1,k=3,n=50,p=0.5,alpha=0.02)
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