Open Journal of Applied Sciences

Vol.9 No.5(2019), Paper ID 92251, 19 pages

DOI:10.4236/ojapps.2019.95026

 

Measuring Global Warming: Global and Hemisphere Mean Temperature Anomalies Predictions Using Sliced Functional Time Series (SFTS) Model

 

Farah Yasmeen

 

Karachi University, Karachi, Pakistan

 

Copyright © 2019 Farah Yasmeen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article

Yasmeen, F. (2019) Measuring Global Warming: Global and Hemisphere Mean Temperature Anomalies Predictions Using Sliced Functional Time Series (SFTS) Model. Open Journal of Applied Sciences, 9, 316-334. doi: 10.4236/ojapps.2019.95026.
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