Template:Example: Published 2P Weibull Distribution Complete Data RRY Example: Difference between revisions

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==Weibull Distribution Example 15: 2-Parameter with RRY==
'''Published 2P Weibull Distribution Complete Data RRY Example'''


From Dimitri Kececioglu, Reliability & Life Testing Handbook, Page 418 [20].
From Dimitri Kececioglu, Reliability & Life Testing Handbook, Page 418 [[Appendix: Weibull References|[20]]].


Sample of 10 units, all tested to failure. The times-to-failure were recorded at 16; 34; 53; 75; 93; 120; 150; 191; 240; and 339 hours.
Sample of 10 units, all tested to failure. The times-to-failure were recorded at 16; 34; 53; 75; 93; 120; 150; 191; 240; and 339 hours.


===Published Results for Weibull Distribution Example 15===
 
'''Published Results'''


Published Results (using Rank Regression on Y):
Published Results (using Rank Regression on Y):
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[[Image:example15formula.png|center]]
[[Image:example15formula.png|center]]


===Computed Results for Weibull Distribution Example 15===


This same data set can be entered into Weibull++ 7 by selecting the Times to Failure type. Use RRY for the estimation method.
'''Computed Results in Weibull++'''
 
This same data set can be entered into Weibull++ by selecting the '''Times to Failure''' type. Use RRY for the estimation method.


Weibull++ computed parameters for RRY are:
Weibull++ computed parameters for RRY are:

Revision as of 21:26, 29 February 2012

Published 2P Weibull Distribution Complete Data RRY Example

From Dimitri Kececioglu, Reliability & Life Testing Handbook, Page 418 [20].

Sample of 10 units, all tested to failure. The times-to-failure were recorded at 16; 34; 53; 75; 93; 120; 150; 191; 240; and 339 hours.


Published Results

Published Results (using Rank Regression on Y):

Example15formula.png


Computed Results in Weibull++

This same data set can be entered into Weibull++ by selecting the Times to Failure type. Use RRY for the estimation method.

Weibull++ computed parameters for RRY are:

Example15formula2.png

The small difference between the published results and the ones obtained from Weibull++ is due to the difference in the median rank values between the two (in the publication, median ranks are obtained from tables to 3 decimal places, whereas in Weibull++ they are calculated and carried out up to the 15th decimal point).

You will also notice that in the examples that follow, a small difference may exist between the published results and the ones obtained from Weibull++. This can be attributed to the difference between the computer numerical precision employed by Weibull++ and the lower number of significant digits used by the original authors. In most of these publications, no information was given as to the numerical precision used.