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Weibull distribution
The Weibull distribution (Weibull, 1951) has cdf
F ( x ) = 1 − e − λ x α F(x) = 1 - e^{-\lambda x^\alpha}
and pdf
f ( x ) = { λ x α − 1 e − λ x α , x ≥ 0 , 0 , x < 0 . f(x) = \begin{cases}
\lambda x^{\alpha - 1} e^{-\lambda x^\alpha}, & x \ge 0, \\
0, & x \lt 0. \\
\end{cases}
Here, λ > 0 is a scale parameter and α > 0 is a shape parameter.
Special Cases
For certain values of α , the Weibull distribution reduces to other common distributions: The Weibull distribution with α = 1 reduces to the Exponential distribution with rate parameter λ .
When α = 1 , it is equivalent to the Exponential distribution with rate parameter λ .
When α = 2 , it is equivalent to the Rayleigh distribution? with variance λ 2 / 2 .
When α = 3.4 , it is approximately the univariate Normal distribution .
As α → ∞ , it converges to the Dirac delta function? .
References
Weibull, W. (1951). A statistical distribution function of wide applicability. J. Appl. Mech.-Trans. ASME 18, 293–297.
External Links
Created on March 29, 2009 15:50:40
by
Jason Blevins
(207.192.72.34)