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Mann-Kendall Tau-b with Sen's Method (enhanced)

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The Mann-Kendall Tau-b non-parametric function computes a coefficient representing strength and direction of a trend for equally spaced data. While you do not need the Statistics Toolbox to compute Taub, you do need it to test for significance. This function will compute Tau-b (now tau-a as well), significance (and the various supporting statistics), and also a non-parametric slope method: Sens Method.

Note: Statistics Toolbox is only needed in this function to test for significance. Otherwise, there is nothing required beyond Matlab itself.

Enhancements include: now supports a seasonal kendall trend test recently submitted (sktt.m). Will allow for multiple observations in the same time index. Confidence intervals are added for Sens slope. Also a plot can be turned on/off.

Second enhancement: test for anomalies in trends, fixes, and notifies the user. Reference is in the comments of the function.

Given the speed of computers today, avoiding loops in Matlab is not as important for some computations as it has been in the past. Nevertheless, writing functions without loops is a form of elegance I think some people may appreciate. As such, this function is written without any loops. Example syntax to use the function is:
[taub tau h sig Z S sigma sen n senplot cilower ciupper] = ktaub(datain, alpha,wantplot)

Free download from Shareware Connection - The Mann-Kendall Tau-b non-parametric function computes a coefficient representing strength and direction of a trend for equally spaced data

Publisher: Jeff Burkey | License: Shareware
Version: 1.0 | Size: 113 KB | Platform: Matlab, Scripts
Released Date: 06-05-2013 | Rating: 0 | Title: Mann-Kendall Tau-b with Sen's Method (enhanced)

Author Url: http://www.mathworks.com
Program Info Url: http://www.mathworks.com
Download Url: http://www.mathworks.com/matlabcentral/fx_files/11190/14/ktaub.zip

More downloads from Mann-Kendall Tau-b with Sen's Method (enhanced) publisher Jeff Burkey:

Seasonal Kendall Test with Slope for Serial Dependent Data - Seasonal Kendall Trend Test for Data with and without Searial Dependance.

LOWESS, Locally Weighted Scatterplot Smoothing for linear and non-linear data (enhanced) - LOWESS- Locally Weighted Scatterplot Smoothing that does not require the statistical toolbox in matlab.

A Parabolic Lagrangian Interpolating Polynomial Function - This function uses a non-linear interpolation (Lagrange) to estimate y given x

Homogeneity test of Global Trends using Chi-Square on Mann-Kendall - o stay consistent with the previous trend statistics posted (ktaub, sktt, and SenT)

Aggregate data using any number of multiple columns - Surprisingly, I never came across the simple solution of aggregating data using accumarray

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Shareware Connection periodically updates pricing and software information of 'Mann-Kendall Tau-b with Sen's Method (enhanced)' from company source 'Jeff Burkey' , so some information may be slightly out-of-date. You should confirm all information before relying on it. Software piracy is theft,  Using 'Mann-Kendall Tau-b with Sen's Method (enhanced)' crack, password, serial numbers, registration codes, key generators is illegal and prevent future development of Mann-Kendall Tau-b with Sen's Method (enhanced).

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