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Nonlinear regression on a microcomputer: which program?
1Department of Biochemistry, University of Edinburgh Medical School, UK.
Computer Applications in the Biosciences : CABIOS
|January 1, 1985
Summary
This review assesses eleven microcomputer programs for nonlinear regression, evaluating their features and performance. No single program excels in all areas, but guidance is provided for selecting the best fit for specific needs and systems.
Area of Science:
- Computational Science
- Data Analysis
- Software Engineering
Background:
- Nonlinear regression is crucial for modeling complex scientific data.
- Microcomputers offer accessible platforms for data analysis.
- Evaluating available software is essential for efficient research.
Purpose of the Study:
- To review and assess eleven microcomputer programs for nonlinear regression.
- To provide guidance on selecting appropriate software for specific applications.
- To compare programs based on a comprehensive set of criteria.
Main Methods:
- Systematic review of eleven published nonlinear regression microcomputer programs.
- Assessment based on criteria including application, language, algorithms, and features.
- Evaluation of program robustness, memory requirements, and ease of use.
Main Results:
- No single program met all desirable criteria for nonlinear regression.
- Significant variation observed in program features, performance, and usability.
- Detailed comparison highlights strengths and weaknesses of each reviewed software.
Conclusions:
- Selection of nonlinear regression software depends on specific user needs and system constraints.
- Users should carefully consider program features, performance, and implementation ease.
- This review offers valuable insights for researchers choosing microcomputer-based nonlinear regression tools.