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The Numerical Methods to Estimation the Missing Values of Data in Time Series. | ||
| Al-Rafidain University College For Sciences | ||
| Article 1, Volume 0, Issue 37, 2017, Pages 116-144 | ||
| Author | ||
| Intisar M. Jassim | ||
| Abstract | ||
| This Research discuss the estimation of presumptive missing Values of time Series which assume mean maximal temperature degree in AL-Musil for(2001) in numerical methods (Least Squares – Cubic Spline – divided differences – Lagrange interpolation). Then Comparison between these methods to find the best method for estimation the missing values in the mean maximal and minimal temperature degree in AL-Musil for (2003). | ||
| Keywords | ||
| Missing values; Least square; Cubic splaine; Divided differences; Lagrange interpolation | ||
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