GlobalTrends 12-13-2008 1.0

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It will test for trends when seasonality is present and over multiple observation stations, all of which are Chi-square statistics.These tests will allow for ties, missing data, and multiple observations per time index, since it uses the enhanced ktaub.m function that was recently updated.There are numerous narratives as part of the output to the screen providing supporting interpretation of the results.This function is based on Chapter 17.5 in Gilbert. UsageSyntax: [ChiOutput K M sig] = GlobalTrends( datain, alpha ) Inputs: datain(:,1) = Year datain(:,2) = season datain(:,3) = value datain(:,4) = station alpha = scaler (e.g. 0.05) Outputs: Total: Chi-square df p-value Homogeneity: Chi-square df p-value Season: Chi-square df p-value Station: Chi-square df p-value Station-Season: Chi-square df p-value Trend: Chi-square df p-value Requirements: - MATLAB 7.7 (R2008b) - Matlab Statistical Toolbox

Requirements: No special requirements

Platforms: Windows, Mac, *nix, Mac OSX, Linux, Matlab , Solaris

Keyword: Chi-square, Chi-square Statistics, Global Trends, Mann-kendall Tests, Statistics, Trends

Users rating: 0/10

License: Freeware

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