plogF: Probability of Log Distribution
In austinragotzy/mathstat: Introduction to Mathematical Statistics R Package
Description
Usage
Arguments
Value
References
Examples
Description
Computes the distribution function (CDF) of a log F random variable.
The PDF is given in expression 1.7.9 on page 52 of the book.
Usage
1
plogF(x)
Arguments
x
Real number (or vector of numbers) where -∞ < x < ∞.
CDF of X is F(x) = 1 - (1+5e^(x))^(-0.2).
Value
CDF (single value or vector based on input) of X. P(X≤ x)
References
Hogg, R. McKean, J. Craig, A (2018) Introduction to
Mathematical Statistics, 8th Ed. Boston: Pearson
Examples
1
2
3
austinragotzy/mathstat documentation built on May 13, 2019, 11:30 a.m.
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Description Usage Arguments Value References Examples
Description
Computes the distribution function (CDF) of a log F random variable. The PDF is given in expression 1.7.9 on page 52 of the book.
Usage
1 | plogF(x)
|
Arguments
x |
Real number (or vector of numbers) where -∞ < x < ∞. CDF of X is F(x) = 1 - (1+5e^(x))^(-0.2). |
Value
CDF (single value or vector based on input) of X. P(X≤ x)
References
Hogg, R. McKean, J. Craig, A (2018) Introduction to Mathematical Statistics, 8th Ed. Boston: Pearson
Examples
1 2 3 |
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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