Template:Exponential Distribution Definition: Difference between revisions
Lisa Hacker (talk | contribs) No edit summary |
Lisa Hacker (talk | contribs) No edit summary |
||
Line 6: | Line 6: | ||
\end{align}</math> | \end{align}</math> | ||
<math> \lambda</math> is the constant failure rate in failures per unit of measurement (e.g., failures per hour, per cycle, etc.) and <math>\gamma</math> is the location parameter. In addition, <math>\lambda =\tfrac{1}{m}</math>, where <math>{m}</math> is the mean time between failures (or to failure). | Where <math> \lambda</math> is the constant failure rate in failures per unit of measurement (e.g., failures per hour, per cycle, etc.) and <math>\gamma</math> is the location parameter. In addition, <math>\lambda =\tfrac{1}{m}</math>, where <math>{m}</math> is the mean time between failures (or to failure). | ||
If the location parameter, <span class="texhtml">γ</span>, is assumed to be zero, then the distribution becomes the 1-parameter exponential or: <br> | If the location parameter, <span class="texhtml">γ</span>, is assumed to be zero, then the distribution becomes the 1-parameter exponential or: <br> |
Revision as of 03:25, 7 August 2012
The exponential distribution is commonly used for components or systems exhibiting a constant failure rate. Due to its simplicity, it has been widely employed, even in cases where it doesn't apply. In its most general case, the 2-parameter exponential distribution is defined by:
- [math]\displaystyle{ \begin{align} f(t)=\lambda e^{-\lambda (t-\gamma)} \end{align} }[/math]
Where [math]\displaystyle{ \lambda }[/math] is the constant failure rate in failures per unit of measurement (e.g., failures per hour, per cycle, etc.) and [math]\displaystyle{ \gamma }[/math] is the location parameter. In addition, [math]\displaystyle{ \lambda =\tfrac{1}{m} }[/math], where [math]\displaystyle{ {m} }[/math] is the mean time between failures (or to failure).
If the location parameter, γ, is assumed to be zero, then the distribution becomes the 1-parameter exponential or:
- [math]\displaystyle{ \begin{align} f(t)=\lambda e^{-\lambda t} \end{align} }[/math]
For a detailed discussion of this distribution, see The Exponential Distribution.