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| ==Weibull Distribution Example 14==
| | #REDIRECT [[Weibull Distribution Examples]] |
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| Suppose we want to model a left censored, right censored, interval, and complete data set, consisting of 274 units under test of which 185 units fail. Table 6.8 contains the data.
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| Table 6.8 - The test data for Example 13
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| Data point index
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| Number in State
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| Last Inspection
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| State
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| (F or S)
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| State End Time
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| 1
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| 2
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| 5
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| F
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| 5
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| 2
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| 23
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| 5
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| S
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| 5
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| 3
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| 28
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| 0
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| F
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| 7
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| 4
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| 4
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| 10
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| F
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| 10
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| 5
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| 7
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| 15
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| F
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| 15
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| 6
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| 8
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| 20
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| F
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| 20
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| 7
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| 29
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| 20
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| S
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| 20
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| 8
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| 32
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| 0
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| F
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| 22
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| 9
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| 6
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| 25
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| F
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| 25
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| 10
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| 4
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| 27
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| F
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| 30
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| 11
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| 8
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| 30
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| F
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| 35
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| 12
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| 5
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| 30
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| F
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| 40
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| 13
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| 9
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| 27
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| F
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| 45
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| 14
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| 7
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| 25
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| F
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| 50
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| 15
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| 5
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| 20
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| F
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| 55
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| 16
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| 3
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| 15
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| F
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| 60
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| 17
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| 6
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| 10
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| F
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| 65
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| 18
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| 3
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| 5
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| F
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| 70
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| 19
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| 37
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| 100
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| S
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| 100
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| 20
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| 48
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| 0
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| F
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| 102
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| ===Solution to Weibull Distribution Example 14===
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| This data set can be entered into Weibull++ by selecting the Times-to-failure and My data set contains suspensions (right censored data), My data set contains interval and/or left censored data and I want to enter data in groups options.
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| Since standard ranking methods for dealing with these different data types are inadequate, we will want to use the ReliaSoft ranking method. This option is the default in Weibull++ when dealing with interval data.
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| The computed parameters using MLE are:
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| using RRX:
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| and using RRY:
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| The plot with the two-sided 90% confidence bounds for the rank regression on X solution is:
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