Advances and Applications in Statistics
Volume 58, Issue 1, Pages 1 - 12
(September 2019) http://dx.doi.org/10.17654/AS058010001 |
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CLUSTERING REGIONS IN SOUTH ASIA BASED ON FACTOR ANALYSIS OF TEMPERATURE ANOMALIES
Cherdchai Me-ead, Rhysa McNeil and Wandee Wanishsakpong
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Abstract: The trend and patterns of monthly temperature in South Asia were investigated using statistical methods. The data were obtained from the Climate Research Unit from 1973 to 2013 comprising 25 regions of grid-boxes for latitudes and longitudes The data were filtered using a second order autoregressive process to remove autocorrelation between temperature lags. Factor analysis was used to classify the monthly average temperature anomalies into three larger regions by considering the relationships between adjoining regions. Simple linear regression models were then fitted to the data of the three larger regions. The result showed that the temperatures in these larger regions had increased by to per decade. |
Keywords and phrases: linear regression model, autocorrelation, factor analysis, time series analysis.
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