The Numerical Methods to Estimation the Missing Values of Data in Time Series

Authors

  • Intisar M. Jassim

DOI:

https://doi.org/10.55562/jrucs.v37i1.237

Keywords:

Missing values, Least square, Cubic splaine, Divided differences, Lagrange interpolation

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).

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Published

2021-10-12

Issue

No. 1 (2016): 2016 Volume , Issue 37

Section

Articles

How to Cite

The Numerical Methods to Estimation the Missing Values of Data in Time Series. (2021). Journal of Al-Rafidain University College For Sciences ( Print ISSN: 1681-6870 ,Online ISSN: 2790-2293 ), 37(1), 116-144. https://doi.org/10.55562/jrucs.v37i1.237