Distribution fittings were performed with fitdistrplus
package in R.
Data can be generated with make random
.
X ~ Uniform(3,7)
summary statistics
------
min: 3.000019 max: 6.999995
median: 4.999382
mean: 5.000009
estimated sd: 1.154875
estimated skewness: 0.001044869
estimated kurtosis: 1.798211
X ~ Normal(4,0.3)
summary statistics
------
min: 2.550521 max: 5.590307
median: 4.000304
mean: 4.000051
estimated sd: 0.3003511
estimated skewness: -0.003930505
estimated kurtosis: 3.001237
X ~ Gamma(5,5)
summary statistics
------
min: 0.02923115 max: 5.016571
median: 0.9333718
mean: 0.9993461
estimated sd: 0.4470667
estimated skewness: 0.8938456
estimated kurtosis: 4.200029
X ~ Beta(1,3)
summary statistics
------
min: 7.288e-07 max: 0.9909492
median: 0.2067741
mean: 0.2502364
estimated sd: 0.193632
estimated skewness: 0.8595322
estimated kurtosis: 3.095419
X ~ Exp(0.5)
min: 3.236e-07 max: 25.27796
median: 1.385481
mean: 1.99895
estimated sd: 1.998751
estimated skewness: 1.995828
estimated kurtosis: 8.901596
X ~ Poisson(4)
summary statistics
------
min: 0 max: 17
median: 4
mean: 3.999764
estimated sd: 1.998
estimated skewness: 0.4988773
estimated kurtosis: 3.251335