A Comparison Between Mıcrosoft Excel Solver and Ncss, Spss Routines for Nonlinear Regression Models
| Autor: | Atıf Evren, Didem Tetik Küçükelçi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Non-Linear Regression
Computer science Programming language Microsoft excel Non-Linear Regression SPSS NCSS Mühendislik NCSS Solver computer.software_genre Nonlinear system Engineering lcsh:TA1-2040 Modeling and Simulation NIST lcsh:Engineering (General). Civil engineering (General) lcsh:Science (General) Nonlinear regression computer SPSS lcsh:Q1-390 |
| Zdroj: | Volume: 2, Issue: 2 91-100 Journal of Engineering Technology and Applied Sciences Journal of Engineering Technology and Applied Sciences, Vol 2, Iss 2, Pp 91-100 (2018) |
| ISSN: | 2548-0391 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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