ALTA ALTA Standard Folio Data Eyring-Exponential: Difference between revisions

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The <math>pdf</math> of the 1-parameter exponential distribution is given by:
 
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<math>f(t)=\lambda \cdot {{e}^{-\lambda \cdot t}}</math>
 
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It can be easily shown that the mean life for the 1-parameter exponential distribution (presented in detail in Chapter 5) is given by:
 
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<math>\lambda =\frac{1}{m}</math>
 
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thus:
 
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<math>f(t)=\frac{1}{m}\cdot {{e}^{-\tfrac{t}{m}}}</math>
 
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The Eyring-exponential model  <math>pdf</math>  can then be obtained by setting  <math>m=L(V)</math>  in Eqn. (eyring):
 
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<math>m=L(V)=\frac{1}{V}{{e}^{-\left( A-\tfrac{B}{V} \right)}}</math>
 
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and substituting for  <math>m</math>  in Eqn. (pdfexpm2):
 
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<math>f(t,V)=V\cdot {{e}^{\left( A-\tfrac{B}{V} \right)}}{{e}^{-V\cdot {{e}^{\left( A-\tfrac{B}{V} \right)}}\cdot t}}</math>
 
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