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Quality and Reliability Methods - SAS

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252 Lifetime Distribution II Chapter 14<br />

Navigating the Fit Life by X Report Window<br />

The Nested Model Tests include statistics <strong>and</strong> diagnostic plots for the Separate Location <strong>and</strong> Scale,<br />

Separate Location, Regression, <strong>and</strong> No Effect models. To see results for each of the models<br />

(independently of the other models), click the underlined model of interest (listed under the Nested Model<br />

Tests outline title) <strong>and</strong> then uncheck the check boxes for the other models. Nested models are described in<br />

Table 14.2. Separate Location <strong>and</strong> Scale, Separate Location, Regression, <strong>and</strong> No Effect models, using<br />

a Weibull distribution for Devalt.jmp, are shown in Figure 14.14, Figure 14.15, Figure 14.16, <strong>and</strong><br />

Figure 14.17, respectively.<br />

Table 14.2 Nested Models<br />

Nested Models Description Example<br />

Separate Location<br />

<strong>and</strong> Scale<br />

Separate Location<br />

Regression<br />

No Effect<br />

Assumes that the location <strong>and</strong> scale parameters are<br />

different for all levels of the explanatory variable <strong>and</strong><br />

is equivalent to fitting the distribution by the levels<br />

of the explanatory variable. The Separate Location<br />

<strong>and</strong> Scale Model has multiple location parameters<br />

<strong>and</strong> multiple scale parameters.<br />

Assumes that the location parameters are different,<br />

but the scale parameters are the same for all levels of<br />

the explanatory variable. The Separate Location<br />

Model has multiple location parameters <strong>and</strong> only<br />

one scale parameter.<br />

Is the default model shown in the initial Fit Life by X<br />

report window.<br />

Assumes that the explanatory variable does not affect<br />

the response <strong>and</strong> is equivalent to fitting all of the<br />

data values to the selected distribution. The No<br />

Effect Model has one location parameter <strong>and</strong> one<br />

scale parameter.<br />

Figure 14.14<br />

Figure 14.15<br />

Figure 14.16<br />

Figure 14.17

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