       Re: calculating mean prediction bands

• To: mathgroup at smc.vnet.net
• Subject: [mg110528] Re: calculating mean prediction bands
• From: Darren Glosemeyer <darreng at wolfram.com>
• Date: Wed, 23 Jun 2010 01:53:32 -0400 (EDT)

```Thiesse, Matthew Dean wrote:
> I have a 3 dimensional grid of data points that I am fitting to a 2 dimensional (second order) polynomial model. I wanted to use the Levenburg-Marquardt method so I used the NonlinearModelFit function with the appropriate options selected. But what I am really interested in is the mean prediction bands associated with the fit. What is the method that Mathematica uses to calculate these prediction bands? Is it an exact or approximate method? Is the method for the 3 dimensional case different from the method for the 2 dimensional case? Are there any other methods available for calculating prediction bands (or confidence bands)?
>
>
>
> Thank you
>
>

The method used is very briefly described near the end of

http://reference.wolfram.com/mathematica/tutorial/StatisticalModelAnalysis.html

"Tabular results for confidence intervals are given by
"MeanPredictionConfidenceIntervalTable" and
"SinglePredictionConfidenceIntervalTable". These results are analogous
to those for linear models obtained via LinearModelFit, again with
first-order approximations used for the design matrix.

"MeanPredictionBands" and "SinglePredictionBands" give functions of the
predictor variables."

The bands use the same formulas as the confidence intervals. The method
is the same for 2, 3, or more parameters.

Darren Glosemeyer
Wolfram Research

```

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