Birnbaum-Saunders distribution
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The Birnbaum-Saunders distribution (also known as the fatigue life distribution) is used extensively in reliability applications to model failure times. There are several alternative formulations of this distribution in the literature.
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[edit] Probability density function
The general formula for the probability density function (pdf) is
where γ is the shape parameter, μ is the location parameter, β is the scale parameter, and is the probability density function of the standard normal distribution.
[edit] Standard fatigue life distribution
The case where μ = 0 and β = 1 is called the standard fatigue life distribution. The pdf for the standard fatigue life distribution reduces to
Since the general form of probability functions can be expressed in terms of the standard distribution, all of the subsequent formulas are given for the standard form of the function.
[edit] Cumulative distribution function
The formula for the cumulative distribution function is
where Φ is the cumulative distribution function of the standard normal distribution.
[edit] Quantile function
The formula for the quantile function is
where Φ −1 is the quantile function of the standard normal distribution.
[edit] External links
[edit] Further reading
Please expand this article using the suggested source(s) below. More information might be found in a section of the talk page. |
- Birnbaum, Z.W & Saunders, S.C. (1969), “A new family of life distributions”, Journal of Applied Probability 6: 319-327, <http://links.jstor.org/sici?sici=0021-9002%28196908%296%3A2%3C319%3AANFOLD%3E2.0.CO%3B2-9>
- Desmond, A.F. (1985), “Stochastic models of failure in random environments”, Canadian Journal of Statistics 13: 171–183, <http://links.jstor.org/sici?sici=0319-5724%28198509%2913%3A3%3C171%3ASMOFIR%3E2.0.CO%3B2-W>
- Johnson, N.; Kotz, S. & Balakrishnan, N. (1995), Continuous Univariate Distributions, vol. 2 (2nd ed.), New York: Wiley
- Lemonte, A. J.; Cribari-Neto, F. & Vasconcellos, K. L. P. (2007), “Improved statistical inference for the two-parameter Birnbaum-Saunders distribution”, Computational Statistics and Data Analysis 51: 4656-4681, DOI 10.1016/j.csda.2006.08.016
- Lemonte, A. J.; Simas, A. B. & Cribari-Neto, F. (2008), “Bootstrap-based improved estimators for the two-parameter Birnbaum-Saunders distribution”, Journal of Statistical Computation and Simulation 78: 37-49, DOI 10.1080/10629360600903882
This article incorporates text from a public domain publication of the National Institute of Standards and Technology, a U.S. government agency.