Template:Mixed weibull MLE - Revision history

Richard House: Redirected page to The Mixed Weibull Distribution#Mixed Weibull Parameter Estimation

2012-08-15T00:39:56Z

Redirected page to The Mixed Weibull Distribution#Mixed Weibull Parameter Estimation

← Older revision		Revision as of 00:39, 15 August 2012
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	~~'''MLE'''~~		#REDIRECT [[The_Mixed_Weibull_Distribution#Mixed_Weibull_Parameter_Estimation]]

	The same space of parameters, namely <math>\widehat{{{\rho }_{1,\text{ }}}}</math> <math>\widehat{{{\beta }_{1}}},</math> <math>\widehat{{{\eta }_{1}}},</math> <math>\widehat{{{\rho }_{2,\text{ }}}}\widehat{{{\beta }_{2}}},</math> <math>\widehat{{{\eta }_{2}}},...,</math> <math>\widehat{{{\rho }_{S,}}\text{ }}\widehat{{{\beta }_{S}}},</math> <math>\widehat{{{\eta }_{S}}},</math> is also used under the MLE method, using the likelihood function as given in Appendix C of this reference. Weibull++ uses the EM algorithm, short for Expectation-Maximization algorithm, for the MLE analysis. Details on the numerical procedure are beyond the scope of this reference.

Harry Guo: /* MLE */

2012-02-14T17:27:04Z

MLE

← Older revision		Revision as of 17:27, 14 February 2012
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	~~====~~MLE~~====~~		'''MLE'''

	The same space of parameters, namely <math>\widehat{{{\rho }_{1,\text{ }}}}</math> <math>\widehat{{{\beta }_{1}}},</math> <math>\widehat{{{\eta }_{1}}},</math> <math>\widehat{{{\rho }_{2,\text{ }}}}\widehat{{{\beta }_{2}}},</math> <math>\widehat{{{\eta }_{2}}},...,</math> <math>\widehat{{{\rho }_{S,}}\text{ }}\widehat{{{\beta }_{S}}},</math> <math>\widehat{{{\eta }_{S}}},</math> is also used under the MLE method, using the likelihood function as given in Appendix C of this reference. Weibull++ uses the EM algorithm, short for Expectation-Maximization algorithm, for the MLE analysis. Details on the numerical procedure are beyond the scope of this reference.		The same space of parameters, namely <math>\widehat{{{\rho }_{1,\text{ }}}}</math> <math>\widehat{{{\beta }_{1}}},</math> <math>\widehat{{{\eta }_{1}}},</math> <math>\widehat{{{\rho }_{2,\text{ }}}}\widehat{{{\beta }_{2}}},</math> <math>\widehat{{{\eta }_{2}}},...,</math> <math>\widehat{{{\rho }_{S,}}\text{ }}\widehat{{{\beta }_{S}}},</math> <math>\widehat{{{\eta }_{S}}},</math> is also used under the MLE method, using the likelihood function as given in Appendix C of this reference. Weibull++ uses the EM algorithm, short for Expectation-Maximization algorithm, for the MLE analysis. Details on the numerical procedure are beyond the scope of this reference.

Nicolette Young: Created page with '====MLE==== The same space of parameters, namely $\widehat{{{\rho }_{1,\text{ }}}}$ $\widehat{{{\beta }_{1}}},$ $\widehat{{{\eta }_{1}}},$ …'

2012-01-04T18:42:04Z

Created page with '====MLE==== The same space of parameters, namely <math>\widehat{{{\rho }_{1,\text{ }}}}</math> <math>\widehat{{{\beta }_{1}}},</math> <math>\widehat{{{\eta }_{1}}},</math> …'

New page

====MLE====

The same space of parameters, namely <math>\widehat{{{\rho }_{1,\text{ }}}}</math> <math>\widehat{{{\beta }_{1}}},</math> <math>\widehat{{{\eta }_{1}}},</math> <math>\widehat{{{\rho }_{2,\text{ }}}}\widehat{{{\beta }_{2}}},</math> <math>\widehat{{{\eta }_{2}}},...,</math> <math>\widehat{{{\rho }_{S,}}\text{ }}\widehat{{{\beta }_{S}}},</math> <math>\widehat{{{\eta }_{S}}},</math> is also used under the MLE method, using the likelihood function as given in Appendix C of this reference. Weibull++ uses the EM algorithm, short for Expectation-Maximization algorithm, for the MLE analysis. Details on the numerical procedure are beyond the scope of this reference.

Template:Mixed weibull MLE - Revision history

Richard House: Redirected page to The Mixed Weibull Distribution#Mixed Weibull Parameter Estimation

Harry Guo: /* MLE */

Nicolette Young: Created page with '====MLE==== The same space of parameters, namely \widehat{{{\rho }_{1,\text{ }}}} \widehat{{{\beta }_{1}}}, \widehat{{{\eta }_{1}}}, …'

Nicolette Young: Created page with '====MLE==== The same space of parameters, namely $\widehat{{{\rho }_{1,\text{ }}}}$ $\widehat{{{\beta }_{1}}},$ $\widehat{{{\eta }_{1}}},$ …'