expPareto_test: Test of exponential versus Pareto type II (Lomax)...
In camponsah/BivMixDist: Fit bivariate continous and discrete distributions as well as provide EM algorithm for discrete Pareto
Description
Usage
Arguments
Details
Value
References
Examples
Description
Performs H_0:α =0 \quad vs \quad H_0:α =0. α =0 corresponds to exponential distribution and α >0 corresponds to Pareto type II distribution.
Usage
1
Arguments
X
data-vector.
Details
expPareto_test is the function for testing exponential vs. Pareto type II distributions
Value
vector of samples generate from BLG distribution.
References
Arendarczyk, M. and Kozubowski T. J. and Panorska, A. k. (2018). A bivariate distribution with Lomax and geometric margins . Journal of the Korean Statistical Society, 47:405-422.
https://doi.org/10.1016/j.jkss.2018.04.006
Examples
1
2
3
4
X<- Renext:: rlomax(100,scale = 0.200,shape = 0.5)
#X<-rexp(300, rate = 1/10)
test<- expPareto_test(X)
test
camponsah/BivMixDist documentation built on Nov. 15, 2021, 3:11 a.m.
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Description Usage Arguments Details Value References Examples
Description
Performs H_0:α =0 \quad vs \quad H_0:α =0. α =0 corresponds to exponential distribution and α >0 corresponds to Pareto type II distribution.
Usage
1 |
Arguments
X |
data-vector. |
Details
expPareto_test is the function for testing exponential vs. Pareto type II distributions
Value
vector of samples generate from BLG distribution.
References
Arendarczyk, M. and Kozubowski T. J. and Panorska, A. k. (2018). A bivariate distribution with Lomax and geometric margins . Journal of the Korean Statistical Society, 47:405-422. https://doi.org/10.1016/j.jkss.2018.04.006
Examples
1 2 3 4 | X<- Renext:: rlomax(100,scale = 0.200,shape = 0.5)
#X<-rexp(300, rate = 1/10)
test<- expPareto_test(X)
test
|
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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