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htwt.xls:
This data was used to compare neural network estimates
with regression modeling estimates. The
school children data originates from the SAS/STAT User’s Guide Version 8
Example 55.2 Predicting Weight by Height and Age.
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penalty.xls:
This data was used to compare neural network estimates
with logistic regression regression estimates. The
penalty data set is taken from Paul D. Allison book called Logistic
Regression Using the SAS System: Theory and Application.
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delay.xls:
This data was used to compare neural network estimates
with nonlinear regression regression estimates. The
radiation data set is taken from the SAS manual called SAS System for
Regression by Rudolf Freund and Ramon Littell. The data represents
radiation counts that were recorded nineteen separate times during a time
span of four hundred hours.
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housecon.xls:
This data was used to compare neural network estimates
with time series
autoregressive
forecasting estimates, that is, regression modeling with autoregressive
errors. The
construction data set is taken from the book called Forecasting
Examples for Business and Economics Using the SAS System or SAS/ETS
Software Applications Guide 1 from the SAS Institute. The time series
data set consists of monthly construction contracts from January 1983 to
October 1989 taken from the Survey of Current Business and Business
Statistics.
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Leadprd.xls: This
data was used to compare neural network estimates
with one-step-ahead time series predictions. The
lead production consists of monthly totals from a five-year period of
U.S.
lead production measured in tons, from January 1986 to September
1992. The
lead production data set originates from the book called Forecasting
Examples for Business and Economics Using the SAS System.
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iris.xls:
This data was used to compare the classification performance between the
multivariate discriminant model with the neural network estimates.
The
classic iris data originates from Fisher 1936 that is listed in the SAS/STAT
User’s Guide Version 8 Example 25.1: DISCRIM Procedure chapter.
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