Template:Gumbel distribution introduction - Revision history

Richard House: Redirected page to The Gumbel/SEV Distribution

2012-08-15T02:13:50Z

Redirected page to The Gumbel/SEV Distribution

← Older revision		Revision as of 02:13, 15 August 2012
Line 1:		Line 1:
	~~==Introduction==~~		#REDIRECT [[The_Gumbel/SEV_Distribution]]
	The Gumbel distribution is also referred to as the Smallest Extreme Value (SEV) distribution or the Smallest Extreme Value (Type I) distribution. The Gumbel distribution's <math>pdf</math> is skewed to the left, unlike the Weibull distribution's <math>pdf</math> , which is skewed to the right. The Gumbel distribution is appropriate for modeling strength, which is sometimes skewed to the left (few weak units in the lower tail, most units in the upper tail of the strength population). The Gumbel distribution could also be appropriate for modeling the life of products that experience very quick wear-out after reaching a certain age. The distribution of logarithms of times can often be modeled with the Gumbel distribution (in addition to the more common lognormal distribution) [[~~Appendix: Weibull References\|[27]~~]].

Harry Guo at 18:29, 20 February 2012

2012-02-20T18:29:55Z

← Older revision		Revision as of 18:29, 20 February 2012
Line 1:		Line 1:
	==Introduction==		==Introduction==
	The Gumbel distribution is also referred to as the Smallest Extreme Value (SEV) distribution or the Smallest Extreme Value (Type I) distribution. The Gumbel distribution's <math>pdf</math> is skewed to the left, unlike the Weibull distribution's <math>pdf</math> , which is skewed to the right. The Gumbel distribution is appropriate for modeling strength, which is sometimes skewed to the left (few weak units in the lower tail, most units in the upper tail of the strength population). The Gumbel distribution could also be appropriate for modeling the life of products that experience very quick wear-out after reaching a certain age. The distribution of logarithms of times can often be modeled with the Gumbel distribution (in addition to the more common lognormal distribution)[[Appendix: Weibull References\|[27]]].		The Gumbel distribution is also referred to as the Smallest Extreme Value (SEV) distribution or the Smallest Extreme Value (Type I) distribution. The Gumbel distribution's <math>pdf</math> is skewed to the left, unlike the Weibull distribution's <math>pdf</math> , which is skewed to the right. The Gumbel distribution is appropriate for modeling strength, which is sometimes skewed to the left (few weak units in the lower tail, most units in the upper tail of the strength population). The Gumbel distribution could also be appropriate for modeling the life of products that experience very quick wear-out after reaching a certain age. The distribution of logarithms of times can often be modeled with the Gumbel distribution (in addition to the more common lognormal distribution) [[Appendix: Weibull References\|[27]]].

Harry Guo: /* Introduction */

2012-02-20T18:29:47Z

Introduction

← Older revision		Revision as of 18:29, 20 February 2012
Line 1:		Line 1:
	==Introduction==		==Introduction==
	The Gumbel distribution is also referred to as the Smallest Extreme Value (SEV) distribution or the Smallest Extreme Value (Type I) distribution. The Gumbel distribution's <math>pdf</math> is skewed to the left, unlike the Weibull distribution's <math>pdf</math> , which is skewed to the right. The Gumbel distribution is appropriate for modeling strength, which is sometimes skewed to the left (few weak units in the lower tail, most units in the upper tail of the strength population). The Gumbel distribution could also be appropriate for modeling the life of products that experience very quick wear-out after reaching a certain age. The distribution of logarithms of times can often be modeled with the Gumbel distribution (in addition to the more common lognormal distribution). [27]		The Gumbel distribution is also referred to as the Smallest Extreme Value (SEV) distribution or the Smallest Extreme Value (Type I) distribution. The Gumbel distribution's <math>pdf</math> is skewed to the left, unlike the Weibull distribution's <math>pdf</math> , which is skewed to the right. The Gumbel distribution is appropriate for modeling strength, which is sometimes skewed to the left (few weak units in the lower tail, most units in the upper tail of the strength population). The Gumbel distribution could also be appropriate for modeling the life of products that experience very quick wear-out after reaching a certain age. The distribution of logarithms of times can often be modeled with the Gumbel distribution (in addition to the more common lognormal distribution)[[Appendix: Weibull References\|[27]]].

Harry Guo: /* The Gumbel/SEV Distribution */

2012-02-20T18:07:07Z

The Gumbel/SEV Distribution

← Older revision		Revision as of 18:07, 20 February 2012
Line 1:		Line 1:
	==~~The Gumbel/SEV Distribution~~==		==Introduction==
	The Gumbel distribution is also referred to as the Smallest Extreme Value (SEV) distribution or the Smallest Extreme Value (Type I) distribution. The Gumbel distribution's <math>pdf</math> is skewed to the left, unlike the Weibull distribution's <math>pdf</math> , which is skewed to the right. The Gumbel distribution is appropriate for modeling strength, which is sometimes skewed to the left (few weak units in the lower tail, most units in the upper tail of the strength population). The Gumbel distribution could also be appropriate for modeling the life of products that experience very quick wear-out after reaching a certain age. The distribution of logarithms of times can often be modeled with the Gumbel distribution (in addition to the more common lognormal distribution). [27]		The Gumbel distribution is also referred to as the Smallest Extreme Value (SEV) distribution or the Smallest Extreme Value (Type I) distribution. The Gumbel distribution's <math>pdf</math> is skewed to the left, unlike the Weibull distribution's <math>pdf</math> , which is skewed to the right. The Gumbel distribution is appropriate for modeling strength, which is sometimes skewed to the left (few weak units in the lower tail, most units in the upper tail of the strength population). The Gumbel distribution could also be appropriate for modeling the life of products that experience very quick wear-out after reaching a certain age. The distribution of logarithms of times can often be modeled with the Gumbel distribution (in addition to the more common lognormal distribution). [27]

Harry Guo: Created page with '==The Gumbel/SEV Distribution== The Gumbel distribution is also referred to as the Smallest Extreme Value (SEV) distribution or the Smallest Extreme Value (Type I) distribution. …'

2012-02-20T18:06:47Z

Created page with '==The Gumbel/SEV Distribution== The Gumbel distribution is also referred to as the Smallest Extreme Value (SEV) distribution or the Smallest Extreme Value (Type I) distribution. …'

New page

==The Gumbel/SEV Distribution==
The Gumbel distribution is also referred to as the Smallest Extreme Value (SEV) distribution or the Smallest Extreme Value (Type I) distribution. The Gumbel distribution's <math>pdf</math> is skewed to the left, unlike the Weibull distribution's <math>pdf</math> , which is skewed to the right. The Gumbel distribution is appropriate for modeling strength, which is sometimes skewed to the left (few weak units in the lower tail, most units in the upper tail of the strength population). The Gumbel distribution could also be appropriate for modeling the life of products that experience very quick wear-out after reaching a certain age. The distribution of logarithms of times can often be modeled with the Gumbel distribution (in addition to the more common lognormal distribution). [27]