Given the uncertainty of estimates derived from regression models (Zar, 1999), we generated a 95%

**prediction interval**for each estimate of finite rate of population growth as described by Gotelli and Ellison (2004).This definition appears frequently and is found in the following Acronym Finder categories:

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We have 126 other **meanings of PI** in our Acronym Attic

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Given the uncertainty of estimates derived from regression models (Zar, 1999), we generated a 95% **prediction interval** for each estimate of finite rate of population growth as described by Gotelli and Ellison (2004).

7) Exhibit 5: Calculating a **Prediction Interval** PI = (the forecast number) +/- (1.

We derive model-based **prediction intervals** and show how they can be used to detect problematic situations in the fishery.

Asbestos fiber concentrations of DPF cases were said to fall into the range of asbestosis cases if they fell into the 95% **prediction interval** at their respective fibrosis score.

Finally, the **prediction interval** (PI) of the in-process surface roughness model at 95% confident level is calculated PI-lines give the highest advantage of monitoring and controlling the in-process surface roughness.

Some specific topics explored are using JavaBeans to realize a domain-specific component model, process-based collaboration in global software engineering, bootstrap **prediction intervals** for a semi-parametric software cost estimation model, and using design patterns for refactoring real-world models.

Note that if a 95% **prediction interval** is reliable this proportion should be close to 95%.

The width of the **prediction interval** shows the variability across the data relative to the comparator and the smaller the value, the higher the precision.