pdf_theorical: MOTP-Weibull density function (MOTPW)
In prdm0/MarshallOlkinPSG: A competitive family to the Beta and Kumarashuamy generators: Properties, Regressions and Applications
Description
Usage
Arguments
Examples
Description
MOTP-Weibull density function (MOTPW)
Usage
1
pdf_theorical(x, alpha, theta, beta, lambda)
Arguments
x
support of the probability density function.
alpha
Parameter.
theta
Parameter.
beta
Parameter.
lambda
Parameter.
Examples
1
2
3
4
5
6
7
8
9
10
# Checking the implementation of the theorical density function:
integrate(
pdf_theorical,
lower = 0,
upper = 20,
alpha = 1,
theta = 0.5,
beta = 1,
lambda = 1
)
prdm0/MarshallOlkinPSG documentation built on Dec. 22, 2021, 9:51 a.m.
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Description Usage Arguments Examples
Description
MOTP-Weibull density function (MOTPW)
Usage
1 | pdf_theorical(x, alpha, theta, beta, lambda)
|
Arguments
x |
support of the probability density function. |
alpha |
Parameter. |
theta |
Parameter. |
beta |
Parameter. |
lambda |
Parameter. |
Examples
1 2 3 4 5 6 7 8 9 10 | # Checking the implementation of the theorical density function:
integrate(
pdf_theorical,
lower = 0,
upper = 20,
alpha = 1,
theta = 0.5,
beta = 1,
lambda = 1
)
|
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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