Description Usage Arguments Details References Examples
Density, distribution function, quantile function and random generation for the Rayleigh distribution.
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x, q |
vector of quantiles. |
sigma |
positive valued parameter. |
log, log.p |
logical; if TRUE, probabilities p are given as log(p). |
lower.tail |
logical; if TRUE (default), probabilities are P[X ≤ x] otherwise, P[X > x]. |
p |
vector of probabilities. |
n |
number of observations. If |
Probability density function
f(x) = x/σ^2 * exp(-(x^2 / 2*σ^2))
Cumulative distribution function
F(x) = 1 - exp(-x^2 / 2*σ^2)
Quantile function
F^-1(p) = sqrt(-2*σ^2 * log(1-p))
Krishnamoorthy, K. (2006). Handbook of Statistical Distributions with Applications. Chapman & Hall/CRC.
Forbes, C., Evans, M. Hastings, N., & Peacock, B. (2011). Statistical Distributions. John Wiley & Sons.
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