Template:WebNotes/Weibull++Standard Folio Data Lognormal: Difference between revisions
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The lognormal distribution is commonly used to model the lives of units whose failure modes are of a fatigue-stress nature. Since this includes most, if not all, mechanical systems, the lognormal distribution can have widespread | The lognormal distribution is commonly used to model the lives of units whose failure modes are of a fatigue-stress nature. Since this includes most, if not all, mechanical systems, the lognormal distribution can have widespread applications. Consequently, the lognormal distribution is a good companion to the Weibull distribution when attempting to model these types of units. As may be surmised by the name, the lognormal distribution has certain similarities to the normal distribution. A random variable is lognormally distributed if the logarithm of the random variable is normally distributed. Because of this, there are many mathematical similarities between the two distributions. | ||
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| [http://help. | | [http://help.synthesisplatform.net/weibull_alta9/index.htm#weibull_standard_folios.htm V8/9 Help] or [http://help.synthesisplatform.net/weibull_alta10/index.htm#weibull_standard_folios.htm V10 Help] | ||
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| [http:// | | [http://reliawiki.org/index.php/Lognormal_Distribution_Articles related article(s)...] | ||
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Latest revision as of 21:24, 17 April 2015
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| Lognormal Distribution |
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The lognormal distribution is commonly used to model the lives of units whose failure modes are of a fatigue-stress nature. Since this includes most, if not all, mechanical systems, the lognormal distribution can have widespread applications. Consequently, the lognormal distribution is a good companion to the Weibull distribution when attempting to model these types of units. As may be surmised by the name, the lognormal distribution has certain similarities to the normal distribution. A random variable is lognormally distributed if the logarithm of the random variable is normally distributed. Because of this, there are many mathematical similarities between the two distributions. |
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