Abstract
In this study we have tried to compare the results obtained by Microsoft Excel Solver program with those of NCSS and SPSS in some nonlinear regression models. We fit some nonlinear models to data present in http//itl.nist.gov/div898/strd/nls/nls_main.shtml by the three packages. Although EXCEL did not succeed as well as the other packages, we conclude that Microsoft Excel Solver provides us a cheaper and a more interactive way of studying nonlinear models.
Keywords
Microsoft excel
Solver
Nonlinear system
Computer science
Nonlinear regression
NIST
Programming language
Regression
Regression analysis
Algorithm
Statistics
Mathematics
Operating system
Speech recognition
Machine learning
Subject Areas
Advanced Statistical Methods and Models
·Statistics and Probability ·Physical Sciences
Multidisciplinary Science and Engineering Research
·Statistics, Probability and Uncertainty ·Social Sciences
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