Template:Acb on time: Difference between revisions
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The bounds on time (ML estimate of time) for a given reliability are estimated by first solving the reliability function with respect to time: | The bounds on time (ML estimate of time) for a given reliability are estimated by first solving the reliability function with respect to time: |
Revision as of 00:00, 14 February 2012
Confidence Bounds on Time
The bounds on time (ML estimate of time) for a given reliability are estimated by first solving the reliability function with respect to time:
- [math]\displaystyle{ \widehat{T}=-\widehat{m}\cdot \ln (R) }[/math]
The corresponding confidence bounds are then estimated from:
- [math]\displaystyle{ \begin{align} & {{T}_{U}}= & -{{m}_{U}}\cdot \ln (R) \\ & {{T}_{L}}= & -{{m}_{L}}\cdot \ln (R) \end{align} }[/math]
where [math]\displaystyle{ {{m}_{U}} }[/math] and [math]\displaystyle{ {{m}_{L}} }[/math] are estimated using Eqns. (ArrhuUpper) and (ArrhuLower).