moezipfR.var: Variance.
In moezipfR: Marshall-Olkin Extended Zipf
Description
Usage
Arguments
Details
Value
Examples
Description
Computes the variance of the MOEZipf distribution for given values of α and β.
Usage
1
moezipfR.var(alpha, beta, tolerance = 10^(-4))
Arguments
alpha
Value of the α parameter (α > 3).
beta
Value of the β parameter (β > 0).
tolerance
Tolerance used in the calculations. (default = 10^{-4})
Details
The variance of the distribution only exists for α strictly greater than 3.
It is calculated as:
Var[Y] = E[Y^2] - (E[Y])^2
Value
A positive real value corresponding to the variance of the distribution.
Examples
1
moezipfR.var(3.5, 1.3)
moezipfR documentation built on May 2, 2019, 3:25 a.m.
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Description Usage Arguments Details Value Examples
Description
Computes the variance of the MOEZipf distribution for given values of α and β.
Usage
1 | moezipfR.var(alpha, beta, tolerance = 10^(-4))
|
Arguments
alpha |
Value of the α parameter (α > 3). |
beta |
Value of the β parameter (β > 0). |
tolerance |
Tolerance used in the calculations. (default = 10^{-4}) |
Details
The variance of the distribution only exists for α strictly greater than 3. It is calculated as:
Var[Y] = E[Y^2] - (E[Y])^2
Value
A positive real value corresponding to the variance of the distribution.
Examples
1 | moezipfR.var(3.5, 1.3)
|
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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