Show simple item record Rao, AR Azli, M 2013-11-15T14:08:03Z 2013-11-15T14:08:03Z 2013-11-15
dc.description.abstract Trend tests are used to investigate statistical significance of trends. The popular Mann–Kendall (MK) trend test was originally proposed for random data. It was later modified to handle correlated data. After the scaling hypothesis was introduced, the MK test was further modified to accommodate it. The results from these three versions of the MK test can be very different. The objective of the present paper is to illustrate these variations in the MK trend test results. Not considering these variations would lead to spurious conclusions about statistical significance of trends in data with associated erroneous deductions. Monthly temperature data from Malaysia are used for illustration. en_US
dc.language.iso en en_US
dc.subject Mann–Kendall trend test en_US
dc.subject Correlations en_US
dc.subject Scaling hypothesis en_US
dc.subject Monthly temperatures en_US
dc.subject Malaysia en_US
dc.title On the variability of trend test results en_US
dc.type Conference-Full-text en_US
dc.identifier.year 2010 en_US
dc.identifier.conference International Conference on Sustainable Built Environments 2010 en_US Earl's Regency Hotel, Kandy. en_US
dc.identifier.proceeding Sustainable Built Environments en_US en_US en_US

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