M. Jassim, I. (2016). The Numerical Methods to Estimation the Missing Values of Data in Time Series.. Alustath, 0(37), 116-144.
Intisar M. Jassim. "The Numerical Methods to Estimation the Missing Values of Data in Time Series.". Alustath, 0, 37, 2016, 116-144.
M. Jassim, I. (2016). 'The Numerical Methods to Estimation the Missing Values of Data in Time Series.', Alustath, 0(37), pp. 116-144.
M. Jassim, I. The Numerical Methods to Estimation the Missing Values of Data in Time Series.. Alustath, 2016; 0(37): 116-144.

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, October 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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