Using Least squares methods and nonlinear regression Methods to Calculate the Approximate Value of Ionicity in Terms of the Energy Gap
The objective of the current study is to find the best mathematical models to calculate the estimated value of the ionization for the physical compounds of semiconductors based on the energy gap throughout using some numerical analysis methods as the least squares method. The best of its branches o...
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| Format: | Article |
| Language: | English |
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Tikrit University
2019-09-01
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| Series: | Tikrit Journal of Pure Science |
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| Online Access: | https://tjpsj.org/index.php/tjps/article/view/424 |
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| author | Ghassan E. Arif Sura Y. Jaafar Shymaa M. Abdullah |
| author_facet | Ghassan E. Arif Sura Y. Jaafar Shymaa M. Abdullah |
| author_sort | Ghassan E. Arif |
| collection | DOAJ |
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The objective of the current study is to find the best mathematical models to calculate the estimated value of the ionization for the physical compounds of semiconductors based on the energy gap throughout using some numerical analysis methods as the least squares method. The best of its branches obtained is a nonlinear method of the second degree, we compare the new result with other methods and we obtained our new method is more accurate and efficiency. Another side we using some regression analysis methods as the regression method. The best of its branches obtained is a nonlinear method of the quadratic regression model.
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| format | Article |
| id | doaj-art-b6b4c6524acf4be5b84a3258abb7548d |
| institution | Matheson Library |
| issn | 1813-1662 2415-1726 |
| language | English |
| publishDate | 2019-09-01 |
| publisher | Tikrit University |
| record_format | Article |
| series | Tikrit Journal of Pure Science |
| spelling | doaj-art-b6b4c6524acf4be5b84a3258abb7548d2025-07-14T01:50:44ZengTikrit UniversityTikrit Journal of Pure Science1813-16622415-17262019-09-0124510.25130/tjps.v24i5.424Using Least squares methods and nonlinear regression Methods to Calculate the Approximate Value of Ionicity in Terms of the Energy GapGhassan E. ArifSura Y. JaafarShymaa M. Abdullah The objective of the current study is to find the best mathematical models to calculate the estimated value of the ionization for the physical compounds of semiconductors based on the energy gap throughout using some numerical analysis methods as the least squares method. The best of its branches obtained is a nonlinear method of the second degree, we compare the new result with other methods and we obtained our new method is more accurate and efficiency. Another side we using some regression analysis methods as the regression method. The best of its branches obtained is a nonlinear method of the quadratic regression model. https://tjpsj.org/index.php/tjps/article/view/424Mathematical modelthe least squares methodnonlinear statistical regression methodionizationenergy gap |
| spellingShingle | Ghassan E. Arif Sura Y. Jaafar Shymaa M. Abdullah Using Least squares methods and nonlinear regression Methods to Calculate the Approximate Value of Ionicity in Terms of the Energy Gap Tikrit Journal of Pure Science Mathematical model the least squares method nonlinear statistical regression method ionization energy gap |
| title | Using Least squares methods and nonlinear regression Methods to Calculate the Approximate Value of Ionicity in Terms of the Energy Gap |
| title_full | Using Least squares methods and nonlinear regression Methods to Calculate the Approximate Value of Ionicity in Terms of the Energy Gap |
| title_fullStr | Using Least squares methods and nonlinear regression Methods to Calculate the Approximate Value of Ionicity in Terms of the Energy Gap |
| title_full_unstemmed | Using Least squares methods and nonlinear regression Methods to Calculate the Approximate Value of Ionicity in Terms of the Energy Gap |
| title_short | Using Least squares methods and nonlinear regression Methods to Calculate the Approximate Value of Ionicity in Terms of the Energy Gap |
| title_sort | using least squares methods and nonlinear regression methods to calculate the approximate value of ionicity in terms of the energy gap |
| topic | Mathematical model the least squares method nonlinear statistical regression method ionization energy gap |
| url | https://tjpsj.org/index.php/tjps/article/view/424 |
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