Weibull++ Standard Folio Data Logistic: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
Line 1: | Line 1: | ||
{{Template:NoSkin}} | {{Template:NoSkin}} | ||
{| class="FCK__ShowTableBorders" border="0" cellspacing="0" cellpadding="0" align="center"; style="width:100%;" | |||
|- | |||
| valign="middle" align="left" bgcolor=EEEEEE|[[Image:Webnotesbar.png|center|195px]] | |||
|} | |||
{| align="center" class="FCK__ShowTableBorders" border="0" cellspacing="1" cellpadding="1" | {| align="center" class="FCK__ShowTableBorders" border="0" cellspacing="1" cellpadding="1" | ||
|- | |- | ||
| valign="middle" |{{Font|Standard Folio Logistic|11|tahoma|bold|gray}} | |||
|- | |- | ||
| | | valign="middle" | {{Font|Weibull++|10|tahoma|bold|gray}} | ||
|- | |- | ||
| | | valign="middle" | | ||
The logistic distribution has been used for growth models, and is used in a certain type of regression known as the logistic regression. It has also applications in modeling life data. The shape of the logistic distribution and the normal distribution are very similar [27]. There are some who argue that the logistic distribution is inappropriate for modeling lifetime data because the left-hand limit of the distribution extends to negative infinity. This could conceivably result in modeling negative times-to-failure. However, provided that the distribution in question has a relatively high mean and a relatively small location parameter, the issue of negative failure times should not present itself as a problem. | The logistic distribution has been used for growth models, and is used in a certain type of regression known as the logistic regression. It has also applications in modeling life data. The shape of the logistic distribution and the normal distribution are very similar [27]. There are some who argue that the logistic distribution is inappropriate for modeling lifetime data because the left-hand limit of the distribution extends to negative infinity. This could conceivably result in modeling negative times-to-failure. However, provided that the distribution in question has a relatively high mean and a relatively small location parameter, the issue of negative failure times should not present itself as a problem. | ||
|- | |- | ||
| | | valign="middle" | [http://reliawiki.com/index.php/Template:Logistic_distribution#The_Logistic_Distribution Logistic Distribution] | ||
|- | |- | ||
| | | valign="middle" | [http://www.reliawiki.com/index.php/Template:Logistic_distribution_example See Examples...] | ||
|} | |} | ||
<br/> | <br/> | ||
[[File:docedit.png|20px|right|link=http://www.reliawiki.com/index.php?title=Weibull%2B%2B_Standard_Folio_Data_Logistic&action=edit]] | [[File:docedit.png|20px|right|link=http://www.reliawiki.com/index.php?title=Weibull%2B%2B_Standard_Folio_Data_Logistic&action=edit]] |
Revision as of 20:45, 8 February 2012
Standard Folio Logistic |
Weibull++ |
The logistic distribution has been used for growth models, and is used in a certain type of regression known as the logistic regression. It has also applications in modeling life data. The shape of the logistic distribution and the normal distribution are very similar [27]. There are some who argue that the logistic distribution is inappropriate for modeling lifetime data because the left-hand limit of the distribution extends to negative infinity. This could conceivably result in modeling negative times-to-failure. However, provided that the distribution in question has a relatively high mean and a relatively small location parameter, the issue of negative failure times should not present itself as a problem. |
Logistic Distribution |
See Examples... |