ks.logis.exp: Test of Kolmogorov-Smirnov for the Logistic-Exponential(LE)...

Description Usage Arguments Details Value References See Also Examples

View source: R/LogisExp.R

Description

The function ks.logis.exp() gives the values for the KS test assuming a Logistic-Exponential(LE) with shape parameter alpha and scale parameter lambda. In addition, optionally, this function allows one to show a comparative graph between the empirical and theoretical cdfs for a specified data set.

Usage

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ks.logis.exp(x, alpha.est, lambda.est, 
    alternative = c("less", "two.sided", "greater"), plot = FALSE, ...)

Arguments

x

vector of observations.

alpha.est

estimate of the parameter alpha

lambda.est

estimate of the parameter lambda

alternative

indicates the alternative hypothesis and must be one of "two.sided" (default), "less", or "greater".

plot

Logical; if TRUE, the cdf plot is provided.

...

additional arguments to be passed to the underlying plot function.

Details

The Kolmogorov-Smirnov test is a goodness-of-fit technique based on the maximum distance between the empirical and theoretical cdfs.

Value

The function ks.logis.exp() carries out the KS test for the Logistic-Exponential(LE)

References

Lan, Y. and Leemis, L. M. (2008). The Logistic-Exponential Survival Distribution, Naval Research Logistics, 55, 252-264.

See Also

pp.logis.exp for PP plot and qq.logis.exp for QQ plot

Examples

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## Load data sets
data(bearings)
## Maximum Likelihood(ML) Estimates of alpha & lambda for the data(bearings)
## Estimates of alpha & lambda using 'maxLik' package
## alpha.est = 2.36754, lambda.est = 0.01059

ks.logis.exp(bearings, 2.36754, 0.01059, alternative = "two.sided", plot = TRUE)

reliaR documentation built on May 29, 2017, 12:34 p.m.

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