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Sens Trend Test with seasonallity present, non-parametric 1.0

  Date Added: August 29, 2013  |  Visits: 173

Sens Trend Test with seasonallity present, non-parametric

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Sen's Trend Test with seasonallity present - Sen TAnother seasonal trend test that has good power detetecting a monotonic trends when seasonal cycles are present. But should only be used when no data are missing. When no data are missing this test is more accurate than the Kendall Seasonal (unless serial dependence is accounted for? See sktt.m for Seasonal Kendall Test and slope. - Gilbert section 17.4, page 230There is a subfunction 'rank' in this function that is used to compute ranks for all values in the dataset. Matlab's tiedrank estimates rankings differently then required for this statistic.Syntax: [T sig] = SenT(datain, alpha)inputs: datain(:,1) = year (e.g. 1999) datain(:,2) = season (e.g. 1 through 12) datain(:,3) = values to be analyzed alpha = for two tail test (e.g. 0.05)outputs: T = Sen T value sig = significance using normal distributionRequirements: If alpha is set to zero or not provided, significance will not be computed. To test for significance, the Statistics Toolbox is required. Otherwise there are no other functions outside of Matlab itself.

Requirements: No special requirements
Platforms: Matlab
Keyword: Alpha Analyzed Datain Differently Inputs Outputs Season
Users rating: 0/10

License: Shareware Size: 10 KB
SENS TREND TEST WITH SEASONALLITY PRESENT, NON-PARAMETRIC RELATED
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