Template:Example: LogLogistic distribution example - Revision history

Lisa Hacker: Redirected page to Example: Loglogistic Distribution

2012-08-15T06:41:21Z

Redirected page to Example: Loglogistic Distribution

← Older revision		Revision as of 06:41, 15 August 2012
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	#REDIRECT [[~~The_Loglogistic_Distribution~~]]		#REDIRECT [[Example:_Loglogistic_Distribution]]

Lisa Hacker: Redirected page to The Loglogistic Distribution

2012-08-09T10:00:37Z

Redirected page to The Loglogistic Distribution

← Older revision		Revision as of 10:00, 9 August 2012
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	[[~~Category: For Deletion~~]]		#REDIRECT [[The_Loglogistic_Distribution]]

Kate Racaza: Replaced content with 'Category: For Deletion'

2012-07-23T10:06:46Z

Replaced content with 'Category: For Deletion'

← Older revision		Revision as of 10:06, 23 July 2012
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	~~'''A Loglogistic Distribution Example'''~~		[[Category: For Deletion]]

	~~Determine the loglogistic parameter estimates for the data given in Table 10.3.~~

	~~<center><math>\overset{{}}{\mathop{\text{Table 10}\text{.3 - Test data}}}\,</math></center>~~

	~~<center><math>\begin{matrix}~~
	~~\text{Data point index} & \text{Last Inspected} & \text{State End time} \\~~
	~~\text{1} & \text{105} & \text{106} \\~~
	~~\text{2} & \text{197} & \text{200} \\~~
	~~\text{3} & \text{297} & \text{301} \\~~
	~~\text{4} & \text{330} & \text{335} \\~~
	~~\text{5} & \text{393} & \text{401} \\~~
	~~\text{6} & \text{423} & \text{426} \\~~
	~~\text{7} & \text{460} & \text{468} \\~~
	~~\text{8} & \text{569} & \text{570} \\~~
	~~\text{9} & \text{675} & \text{680} \\~~
	~~\text{10} & \text{884} & \text{889} \\~~
	~~\end{matrix}</math></center>~~


	Using Times-to-failure data under the Folio Data Type and the My data set contains interval and/or left censored data under Times-to-failure data options to enter the above data, the computed parameters for maximum likelihood are calculated to be:

	~~::<math>\begin{align}~~
	~~& {{{\hat{\mu }}}^{\prime }}= & 5.9772 \\~~
	~~& {{{\hat{\sigma }}}_{{{T}'}}}= & 0.3256~~
	~~\end{align}</math>~~


	For ~~rank regression on <math>X\ \ :</math>~~

	~~::<math>\begin{align}~~
	~~& \hat{\mu }= & 5.9281 \\~~
	~~& \hat{\sigma }= & 0.3821~~
	~~\end{align}</math>~~


	~~For rank regression on <math>Y\ \ :</math>~~

	~~::<math>\begin{align}~~
	~~& \hat{\mu }= & 5.9772 \\~~
	~~& \hat{\sigma }= & 0.3256~~
	~~\end{align}</math>~~

Kate Racaza: removed link to http://reliawiki.org/index.php/Example:_Loglogistic_Distribution

2012-07-10T12:24:31Z

removed link to http://reliawiki.org/index.php/Example:_Loglogistic_Distribution

← Older revision		Revision as of 12:24, 10 July 2012
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	'''A Loglogistic Distribution Example'''		'''A Loglogistic Distribution Example'''
	~~[[Example: Loglogistic Distribution]]~~
	Determine the loglogistic parameter estimates for the data given in Table 10.3.		Determine the loglogistic parameter estimates for the data given in Table 10.3.

Nicolette Young at 23:47, 21 March 2012

2012-03-21T23:47:09Z

← Older revision		Revision as of 23:47, 21 March 2012
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	'''A Loglogistic Distribution Example'''		'''A Loglogistic Distribution Example'''
			[[Example: Loglogistic Distribution]]
	Determine the loglogistic parameter estimates for the data given in Table 10.3.		Determine the loglogistic parameter estimates for the data given in Table 10.3.

Harry Guo: moved Template:Loglogistic example to Template:Example: LogLogistic distribution example

2012-02-20T18:05:22Z

moved Template:Loglogistic example to Template:Example: LogLogistic distribution example

← Older revision	Revision as of 18:05, 20 February 2012
(No difference)

Harry Guo: /* General Examples */

2012-02-20T18:01:18Z

General Examples

← Older revision		Revision as of 18:01, 20 February 2012
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	~~==General Examples==~~		'''A Loglogistic Distribution Example'''

	Determine the loglogistic parameter estimates for the data given in Table 10.3.		Determine the loglogistic parameter estimates for the data given in Table 10.3.

Harry Guo at 17:49, 20 February 2012

2012-02-20T17:49:46Z

← Older revision		Revision as of 17:49, 20 February 2012
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	==~~A LogLogistic Distribution Example~~==		==General Examples==
	Determine the loglogistic parameter estimates for the data given in Table 10.3.		Determine the loglogistic parameter estimates for the data given in Table 10.3.

Harry Guo at 17:48, 20 February 2012

2012-02-20T17:48:05Z

← Older revision		Revision as of 17:48, 20 February 2012
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	====A LogLogistic Distribution Example====		==A LogLogistic Distribution Example==
	Determine the loglogistic parameter estimates for the data given in Table 10.3.		Determine the loglogistic parameter estimates for the data given in Table 10.3.

Nicolette Young: Created page with '====A LogLogistic Distribution Example==== Determine the loglogistic parameter estimates for the data given in Table 10.3. $\overset{{}}{\mathop{\text{Table 10}\te…'$

2012-01-19T22:33:34Z

Created page with '====A LogLogistic Distribution Example==== Determine the loglogistic parameter estimates for the data given in Table 10.3. <center><math>\overset{{}}{\mathop{\text{Table 10}\te…'

New page

====A LogLogistic Distribution Example====
Determine the loglogistic parameter estimates for the data given in Table 10.3.

<center><math>\overset{{}}{\mathop{\text{Table 10}\text{.3 - Test data}}}\,</math></center>

<center><math>\begin{matrix}
\text{Data point index} & \text{Last Inspected} & \text{State End time} \\
\text{1} & \text{105} & \text{106} \\
\text{2} & \text{197} & \text{200} \\
\text{3} & \text{297} & \text{301} \\
\text{4} & \text{330} & \text{335} \\
\text{5} & \text{393} & \text{401} \\
\text{6} & \text{423} & \text{426} \\
\text{7} & \text{460} & \text{468} \\
\text{8} & \text{569} & \text{570} \\
\text{9} & \text{675} & \text{680} \\
\text{10} & \text{884} & \text{889} \\
\end{matrix}</math></center>

Using Times-to-failure data under the Folio Data Type and the My data set contains interval and/or left censored data under Times-to-failure data options to enter the above data, the computed parameters for maximum likelihood are calculated to be:

::<math>\begin{align}
& {{{\hat{\mu }}}^{\prime }}= & 5.9772 \\
& {{{\hat{\sigma }}}_{{{T}'}}}= & 0.3256
\end{align}</math>

For rank regression on <math>X\ \ :</math>

::<math>\begin{align}
& \hat{\mu }= & 5.9281 \\
& \hat{\sigma }= & 0.3821
\end{align}</math>

For rank regression on <math>Y\ \ :</math>

::<math>\begin{align}
& \hat{\mu }= & 5.9772 \\
& \hat{\sigma }= & 0.3256
\end{align}</math>