Logistic Confidence Bounds Example: Difference between revisions

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<noinclude>{{Banner RGA Examples}}
<noinclude>{{Banner RGA Examples}}
''This example appears in the [[Logistic|Reliability Growth and Repairable System Analysis Reference book]]''.
''This example appears in the [https://help.reliasoft.com/reference/reliability_growth_and_repairable_system_analysis Reliability growth reference]''.
</noinclude>
</noinclude>


For the data given <noinclude>in the [[Reliability Data - Logistic Model]] example</noinclude><includeonly>above for the reliability data example</includeonly>, calculate the 2-sided 90% confidence bounds under the Logistic model for the following:
For the data given <noinclude>in the [[Reliability Data - Logistic Model]] example</noinclude><includeonly>above for the reliability data example</includeonly>, calculate the 2-sided 90% confidence bounds under the Logistic model for the following:


:1) The parameters <math>b\,\!</math> and <math>k\,\!</math>.
#The parameters <math>b\,\!</math> and <math>k\,\!</math>.
 
#Reliability at month 5.  
:2) Reliability at month 5.  
 


'''Solution'''
'''Solution'''
<ol>
<li>The values of <math>\hat{b}\,\!</math> and <math>\hat{k}\,\!</math> that were estimated from the least squares analysis in the reliability data example are:


:1) The values of <math>\hat{b}\,\!</math> and <math>\hat{k}\,\!</math> that were estimated from the least squares analysis in the reliability data example are:
:<math>\begin{align}
 
::<math>\begin{align}
   \widehat{b}= & 3.3991 \\  
   \widehat{b}= & 3.3991 \\  
   \widehat{\alpha }= & 0.7398   
   \widehat{\alpha }= & 0.7398   
\end{align}\,\!</math>
\end{align}\,\!</math>


Thus, the 2-sided 90% confidence bounds on parameter <math>b\,\!</math> are:


:Thus, the 2-sided 90% confidence bounds on parameter <math>b\,\!</math> are:
:<math>\begin{align}
 
::<math>\begin{align}
   {{b}_{lower}}= & 2.5547 \\  
   {{b}_{lower}}= & 2.5547 \\  
   {{b}_{upper}}= & 4.5225   
   {{b}_{upper}}= & 4.5225   
\end{align}\,\!</math>
\end{align}\,\!</math>


The 2-sided 90% confidence bounds on parameter <math>k\,\!</math> are:


:The 2-sided 90% confidence bounds on parameter <math>k\,\!</math> are:
:<math>\begin{align}
 
::<math>\begin{align}
   {{k}_{lower}}= & 0.6798 \\  
   {{k}_{lower}}= & 0.6798 \\  
   {{k}_{upper}}= & 0.7997   
   {{k}_{upper}}= & 0.7997   
\end{align}\,\!</math>
\end{align}\,\!</math>


 
</li>
:2) First, calculate the reliability estimation at month 5:  
<li>First, calculate the reliability estimation at month 5:  
::<math>\begin{align}
:<math>\begin{align}
  {{R}_{5}}= & \frac{1}{1+b{{e}^{-5k}}} \\  
  {{R}_{5}}= & \frac{1}{1+b{{e}^{-5k}}} \\  
  = & 0.9224   
  = & 0.9224   
\end{align}\,\!</math>
\end{align}\,\!</math>
Thus, the 2-sided 90% confidence bounds on reliability at month 5 are:  
:Thus, the 2-sided 90% confidence bounds on reliability at month 5 iare:  


::<math>\begin{align}
::<math>\begin{align}
Line 50: Line 45:
   {{[{{R}_{5}}]}_{upper}}= & 0.9955   
   {{[{{R}_{5}}]}_{upper}}= & 0.9955   
\end{align}\,\!</math>
\end{align}\,\!</math>


The next figure shows a graph of the reliability plotted with 2-sided 90% confidence bounds.
The next figure shows a graph of the reliability plotted with 2-sided 90% confidence bounds.


[[Image:rga8.6.png|center|400px|Logistic Reliability vs. Time plot with 2-sided 90% confidence bounds.]]
[[Image:rga8.6.png|center|450px]]
</li>
</ol>

Latest revision as of 21:17, 18 September 2023

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This example appears in the Reliability growth reference.


For the data given in the Reliability Data - Logistic Model example, calculate the 2-sided 90% confidence bounds under the Logistic model for the following:

  1. The parameters [math]\displaystyle{ b\,\! }[/math] and [math]\displaystyle{ k\,\! }[/math].
  2. Reliability at month 5.

Solution

  1. The values of [math]\displaystyle{ \hat{b}\,\! }[/math] and [math]\displaystyle{ \hat{k}\,\! }[/math] that were estimated from the least squares analysis in the reliability data example are:
    [math]\displaystyle{ \begin{align} \widehat{b}= & 3.3991 \\ \widehat{\alpha }= & 0.7398 \end{align}\,\! }[/math]
    Thus, the 2-sided 90% confidence bounds on parameter [math]\displaystyle{ b\,\! }[/math] are:
    [math]\displaystyle{ \begin{align} {{b}_{lower}}= & 2.5547 \\ {{b}_{upper}}= & 4.5225 \end{align}\,\! }[/math]
    The 2-sided 90% confidence bounds on parameter [math]\displaystyle{ k\,\! }[/math] are:
    [math]\displaystyle{ \begin{align} {{k}_{lower}}= & 0.6798 \\ {{k}_{upper}}= & 0.7997 \end{align}\,\! }[/math]
  2. First, calculate the reliability estimation at month 5:
    [math]\displaystyle{ \begin{align} {{R}_{5}}= & \frac{1}{1+b{{e}^{-5k}}} \\ = & 0.9224 \end{align}\,\! }[/math]
    Thus, the 2-sided 90% confidence bounds on reliability at month 5 are:
    [math]\displaystyle{ \begin{align} {{[{{R}_{5}}]}_{lower}}= & 0.8493 \\ {{[{{R}_{5}}]}_{upper}}= & 0.9955 \end{align}\,\! }[/math]
    The next figure shows a graph of the reliability plotted with 2-sided 90% confidence bounds.
    Rga8.6.png