# NOT RUN {
# Generate 20 observations from a uniform distribution with parameters
# min=-2 and max=3, then estimate the parameters via maximum likelihood
# and estimate the 90th percentile.
# (Note: the call to set.seed simply allows you to reproduce this example.)
set.seed(250)
dat <- runif(20, min = -2, max = 3)
equnif(dat, p = 0.9)
#Results of Distribution Parameter Estimation
#--------------------------------------------
#
#Assumed Distribution: Uniform
#
#Estimated Parameter(s): min = -1.574529
# max = 2.837006
#
#Estimation Method: mle
#
#Estimated Quantile(s): 90'th %ile = 2.395852
#
#Quantile Estimation Method: Quantile(s) Based on
# mle Estimators
#
#Data: dat
#
#Sample Size: 20
#----------
# Clean up
rm(dat)
# }
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