Template:Example: Lognormal Distribution Likelihood Ratio Bound (Time): Difference between revisions

From ReliaWiki
Jump to navigation Jump to search
(Created page with ''''Lognormal Distribution Likelihood Ratio Bound Example (Time)''' For the data given in Example 5, determine the two-sided 75% confidence bounds on the time estimate for a reli…')
 
No edit summary
Line 1: Line 1:
'''Lognormal Distribution Likelihood Ratio Bound Example (Time)'''
'''Lognormal Distribution Likelihood Ratio Bound Example (Time)'''


For the data given in Example 5, determine the two-sided 75% confidence bounds on the time estimate for a reliability of 80%.  The ML estimate for the time at  <math>R(t)=80%</math>  is 55.718.
For the data given in [[Lognormal Example 5 Data|Example 5]], determine the two-sided 75% confidence bounds on the time estimate for a reliability of 80%.  The ML estimate for the time at  <math>R(t)=80%</math>  is 55.718.


'''Solution'''
'''Solution'''

Revision as of 23:24, 13 February 2012

Lognormal Distribution Likelihood Ratio Bound Example (Time)

For the data given in Example 5, determine the two-sided 75% confidence bounds on the time estimate for a reliability of 80%. The ML estimate for the time at [math]\displaystyle{ R(t)=80% }[/math] is 55.718.

Solution

In this example, we are trying to determine the two-sided 75% confidence bounds on the time estimate of 55.718. This is accomplished by substituting [math]\displaystyle{ R=0.80 }[/math] and [math]\displaystyle{ \alpha =0.75 }[/math] into Eqn. (lognormliketr), and varying [math]\displaystyle{ {{\sigma }_{{{T}'}}} }[/math] until the maximum and minimum values of [math]\displaystyle{ t }[/math] are found. The following table gives the values of [math]\displaystyle{ t }[/math] based on given values of [math]\displaystyle{ {{\sigma }_{{{T}'}}} }[/math] .


[math]\displaystyle{ \begin{matrix} {{\sigma }_{{{T}'}}} & {{t}_{1}} & {{t}_{2}} & {{\sigma }_{{{T}'}}} & {{t}_{1}} & {{t}_{2}} \\ 0.24 & 56.832 & 62.879 & 0.37 & 44.841 & 64.031 \\ 0.25 & 54.660 & 64.287 & 0.38 & 44.494 & 63.454 \\ 0.26 & 53.093 & 65.079 & 0.39 & 44.200 & 62.809 \\ 0.27 & 51.811 & 65.576 & 0.40 & 43.963 & 62.093 \\ 0.28 & 50.711 & 65.881 & 0.41 & 43.786 & 61.304 \\ 0.29 & 49.743 & 66.041 & 0.42 & 43.674 & 60.436 \\ 0.30 & 48.881 & 66.085 & 0.43 & 43.634 & 59.481 \\ 0.31 & 48.106 & 66.028 & 0.44 & 43.681 & 58.426 \\ 0.32 & 47.408 & 65.883 & 0.45 & 43.832 & 57.252 \\ 0.33 & 46.777 & 65.657 & 0.46 & 44.124 & 55.924 \\ 0.34 & 46.208 & 65.355 & 0.47 & 44.625 & 54.373 \\ 0.35 & 45.697 & 64.983 & 0.48 & 45.517 & 52.418 \\ 0.36 & 45.242 & 64.541 & {} & {} & {} \\ \end{matrix} }[/math]


This data set is represented graphically in the following contour plot:

Ldachp9ex6.gif

As can be determined from the table, the lowest calculated value for [math]\displaystyle{ t }[/math] is 43.634, while the highest is 66.085. These represent the two-sided 75% confidence limits on the time at which reliability is equal to 80%.