fs.test.exp: Tests for exponentiality using the Kolmogorov-Smirnov test...
In arnejohannesholmin/AJ: Holmins functions, used also for loading all packages by library(AJ)
Description
Tests for exponentiality using the Kolmogorov-Smirnov test for exponential distribution when mean is unknown and must be estimated from the data. Critical values are from Monte Carlo simulations done by Finkelstein and Schafer 1972, but resimulated by Holmin (see "/Applications/echoIBM/Diverse/Finkelstein.Schafer.S.R").
Usage
1
fs.test.exp(x, p = 0.1)
Arguments
x
is a vector to be tested for exponentiality. Must have length 2, ..., 20, 25, 30, 100 or 1000.
p
is the significance level, one of 0.2, 0.15, 0.1, 0.05, 0.01, 0.005, 0.001.
arnejohannesholmin/AJ documentation built on May 27, 2019, 4:06 a.m.
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Description
Tests for exponentiality using the Kolmogorov-Smirnov test for exponential distribution when mean is unknown and must be estimated from the data. Critical values are from Monte Carlo simulations done by Finkelstein and Schafer 1972, but resimulated by Holmin (see "/Applications/echoIBM/Diverse/Finkelstein.Schafer.S.R").
Usage
1 | fs.test.exp(x, p = 0.1)
|
Arguments
x |
is a vector to be tested for exponentiality. Must have length 2, ..., 20, 25, 30, 100 or 1000. |
p |
is the significance level, one of 0.2, 0.15, 0.1, 0.05, 0.01, 0.005, 0.001. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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