Weibull++ Standard Folio Data Logistic: Difference between revisions

From ReliaWiki
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"


|-
|-
! scope="col" |  
| valign="middle" |{{Font|Standard Folio Logistic|11|tahoma|bold|gray}}
{{Font|Reliability Web Notes|12|tahoma|bold|Blue}}
|-
| align="center" valign="middle" |{{Font|Standard Folio Logistic|11|tahoma|bold|gray}}
|-
|-
| align="center" valign="middle" | {{Font|Weibull++|10|tahoma|bold|gray}}
| valign="middle" | {{Font|Weibull++|10|tahoma|bold|gray}}
|-
|-
| align="center" valign="middle" |
| 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.
|-
|-
| align="center" valign="middle" | [http://reliawiki.com/index.php/Template:Logistic_distribution#The_Logistic_Distribution Logistic Distribution]
| valign="middle" | [http://reliawiki.com/index.php/Template:Logistic_distribution#The_Logistic_Distribution Logistic Distribution]
|-
|-
| align="center" valign="middle" | [http://www.reliawiki.com/index.php/Template:Logistic_distribution_example See Examples...]
| 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

Webnotesbar.png
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...


Docedit.png