EN
A Comparison Between Mıcrosoft Excel Solver and Ncss, Spss Routines for Nonlinear Regression Models
Öz
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.
Anahtar Kelimeler
Kaynakça
- [1] Bates, D.M., Watts, D.G., Nonlinear Regression Analysis and Its Applications, New York, John Wiley&Sons, (1988).
- [2] Bevington,P.R., Robinson,D.K., “Data Reduction and Error Analysis for the Physical Sciences”, McGraw Hill, Third edition, (2003) 148-151.
- [3] Billo, E.J., EXCEL for Scientists and Engineers Numerical Methods,Wiley- Interscience, John Wiley&Sons, (2007).
- [4] De Levie, R., Advanced Excel for Scientific Data Analysis, Oxford University Press, (2004).
- [5] Huet,S., Bouvier,A., Gruet,M., Jolivet,E., Statistical Tools for Nonlinear Regression: A Practical Guide with S-Plus Examples, Springer-Verlag, New York, Springer Series in Statistics, (1996).
- [6] Motulsky, H., Christopoulos, A., Fitting Models to Biological Data Using Linear and Nonlinear Regression: A Practical Guide to Curve Fitting, USA, Oxford University Press, (2004).
- [7] Neter J., Wasserman W., Kutner M. H., “Applied Linear Statistical Models”, Second edition,Illinois, Richard D. Irwin. (1985). 466-490.
- [8] Ross, G.J.S., Nonlinear Estimation, Springer Series in Statistics , Springer-Verlag, (1990).
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
9 Ekim 2017
Gönderilme Tarihi
8 Eylül 2017
Kabul Tarihi
2 Ekim 2017
Yayımlandığı Sayı
Yıl 2017 Cilt: 2 Sayı: 2
APA
Tetik Küçükelçi, D., & Evren, A. (2017). A Comparison Between Mıcrosoft Excel Solver and Ncss, Spss Routines for Nonlinear Regression Models. Journal of Engineering Technology and Applied Sciences, 2(2), 91-100. https://doi.org/10.30931/jetas.336853
AMA
1.Tetik Küçükelçi D, Evren A. A Comparison Between Mıcrosoft Excel Solver and Ncss, Spss Routines for Nonlinear Regression Models. Journal of Engineering Technology and Applied Sciences. 2017;2(2):91-100. doi:10.30931/jetas.336853
Chicago
Tetik Küçükelçi, Didem, ve Atıf Evren. 2017. “A Comparison Between Mıcrosoft Excel Solver and Ncss, Spss Routines for Nonlinear Regression Models”. Journal of Engineering Technology and Applied Sciences 2 (2): 91-100. https://doi.org/10.30931/jetas.336853.
EndNote
Tetik Küçükelçi D, Evren A (01 Ekim 2017) A Comparison Between Mıcrosoft Excel Solver and Ncss, Spss Routines for Nonlinear Regression Models. Journal of Engineering Technology and Applied Sciences 2 2 91–100.
IEEE
[1]D. Tetik Küçükelçi ve A. Evren, “A Comparison Between Mıcrosoft Excel Solver and Ncss, Spss Routines for Nonlinear Regression Models”, Journal of Engineering Technology and Applied Sciences, c. 2, sy 2, ss. 91–100, Eki. 2017, doi: 10.30931/jetas.336853.
ISNAD
Tetik Küçükelçi, Didem - Evren, Atıf. “A Comparison Between Mıcrosoft Excel Solver and Ncss, Spss Routines for Nonlinear Regression Models”. Journal of Engineering Technology and Applied Sciences 2/2 (01 Ekim 2017): 91-100. https://doi.org/10.30931/jetas.336853.
JAMA
1.Tetik Küçükelçi D, Evren A. A Comparison Between Mıcrosoft Excel Solver and Ncss, Spss Routines for Nonlinear Regression Models. Journal of Engineering Technology and Applied Sciences. 2017;2:91–100.
MLA
Tetik Küçükelçi, Didem, ve Atıf Evren. “A Comparison Between Mıcrosoft Excel Solver and Ncss, Spss Routines for Nonlinear Regression Models”. Journal of Engineering Technology and Applied Sciences, c. 2, sy 2, Ekim 2017, ss. 91-100, doi:10.30931/jetas.336853.
Vancouver
1.Didem Tetik Küçükelçi, Atıf Evren. A Comparison Between Mıcrosoft Excel Solver and Ncss, Spss Routines for Nonlinear Regression Models. Journal of Engineering Technology and Applied Sciences. 01 Ekim 2017;2(2):91-100. doi:10.30931/jetas.336853