A user's experience with a standard non-linear regression program (BMDP3R)
✍ Scribed by Jorge Garcia-Peña; Stanley P. Azen
- Publisher
- Elsevier Science
- Year
- 1979
- Weight
- 330 KB
- Volume
- 10
- Category
- Article
- ISSN
- 0010-468X
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✦ Synopsis
A study was made to test and compare the behavior of a standard non-linear regression program (BMDP3R) in fitting data from six classical least-squares problems. The use of three program control parameters is discussed and four measures of regression failure are utilized to give a quantitative reference of success. Recommendations are given to aid the user of packaged programs in the parameter estimation of non-linear regression models.
📜 SIMILAR VOLUMES
A simple program for non-linear regression analysis, based upon the strategy of evolution, is described. It should run on any minicomputer (even on 'personal computers') if a BASIC interpreter is available. It can easily be modified for both the type of function and the 'best fitting' condition.
In this work a methodology is presented for the transformation of non-linear response data via a neural network and subsequent standard linear PLS regression. The superb transparency of linear PLS is retained with respect to the diagnostic capabilities via residual analysis and leverage, thus making