The code performs original two tailed Mann-Kendall test. It tests the null hypothesis of trend absence in the vector V, against the alternative of trend. The result of the test is returned in H = 1 indicates a rejection of the null hypothesis at the alpha significance level. H = 0 indicates a failure to reject the null hypothesis at the alpha significance level..

• Platform: Matlab, Scripts
• Publisher: Simone Fatichi
• Date: 20-04-2013
• Size: 10 KB

The code performs two tailed Mann-Kendall test modified to account for autocorrelation on the time series (Hamed and Rao, 1998). The null hypothesis of trend absence in the vector V is tested, against the alternative of trend. The result of the test is returned in H = 1 indicates a rejection of the null hypothesis at the alpha significance level. H = 0 indicates a failure to reject the null hypothesis at the alpha significance level.

• Platform: Matlab, Scripts
• Publisher: Simone Fatichi
• Date: 12-02-2013
• Size: 10 KB

A cumulative Mann-Kendall trend test. Calculating p-values for monotonic trend of ordinal data sequences (e.g. proteins) by a compound test based on Kendall's rank correlation. Ref.: The DeltaProt toolbox at http://services.cbu.uib.no/software/deltaprot/ Use: pval = cumKendallTest(Q,pop,tail) returns p-values for testing the hypothesis of no correlation, against the alternative that there is a non-zero correlation between the columns in the (MxN)-matrix Q and the M-vector pop. If pval is small, say less than 0.

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.

• Platform: Matlab, Scripts
• Publisher: Jeff Burkey
• Date: 06-05-2013
• Size: 113 KB

Seasonal Kendall Trend Test for Data with and without Searial Dependance. Tau-b seasonal: takes into account ties (and multiple observations, except, the data are preprocessed in a subfucntion and multiple observatiosn per a given season are averaged using median). Tau-a seasonal: does not consider multiple observations per season as ties. The data are preprocessed, seasons with multiple observations are summarized with a median value. This routine will take into data evenly spaced by seasons.

• Platform: Matlab, Scripts
• Publisher: Jeff Burkey
• Date: 17-06-2013
• Size: 10 KB

Sen's Trend Test with seasonallity present - Sen T Another 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 230 There is a subfunction 'rank' in this function that is used to compute ranks for all values in the dataset.

• Platform: Matlab, Scripts
• Publisher: Jeff Burkey
• Date: 13-06-2013
• Size: 10 KB

GlobalTrends- Homogeneity tests for multiple seasons and stations. This function will test for trends when seasonality is present and over multiple observation stations, all of which are Chi-square statistics. There are so many statistical tests being done, this function is more like a script or program than a function, but I prefer operating with functions. This function relies heavily on Matlab's Statistical Toolbox for obtaining Chi-square values and ktaub.m function. These tests will allow for ties, missing data, and multiple observations per time index, since it uses the enhanced ktaub.

• Platform: Matlab, Scripts
• Publisher: Jeff Burkey
• Date: 22-06-2013
• Size: 10 KB

This function provides a Wilcoxon-type test for trend across a group of three or more independent random samples. Assumptions: - Data must be at least ordinal - Groups must be selected in a meaningful order i.e. ordered If you do not choose to enter your own group scores then scores are allocated uniformly (1 ... n) in order of selection of the n groups. The null hypothesis of no trend across the groups T will have mean E(T), variance var(T) and the null hypothesis is tested using the normalised test statistic z.

• Platform: Matlab, Scripts
• Publisher: Giuseppe Cardillo
• Date: 23-05-2013
• Size: 10 KB

Nash-Sutcliffe model accuracy statistic. Nash-Sutcliffe coefficient is an indicator of the model?s ability to predict about the 1:1 line between observed and simulated data. The Nash-Sutcliffe coefficient is calculated as: sum(Qobs - Qsim)^2 NS = 1 - ---------------------------- sum(Qobs - Qmean)^2 With the Nash-Sutcliffe measure, an r-square coefficient is calculated using coefficient values equal to 1 indicate a perfect fit between observed and predicted data, and r-square values equal to or less than 0 indicate that the model is predicting no better than using the average of the observed data.

• Platform: Matlab, Scripts
• Publisher: Jeff Burkey
• Date: 18-02-2013
• Size: 10 KB

This function uses a non-linear interpolation (Lagrange) to estimate y given x, based on a set of observed x-y points. Coordinates will be sorted based on the x-value of the pair. The x-value provided by the user to calculate y will be estimated using two points left and two points right of the provided x-value. While this function will allow the user to prescribe any number of observed points to be used for the interpolation, caution should be used when more than four points are used in the equation.

• Platform: Matlab, Scripts
• Publisher: Jeff Burkey
• Date: 06-01-2013
• Size: 10 KB

The skill score is a statistic similar to the Nash-Sutcliffe in that the closer to one the better the model prediction. This function interprets model predictability using residual error and observed variability in your data. A skill score of 1 means a perfect fit (don't we all wish). A skill score equal to or less than zero means your model error is larger than the variability in your data, and should not be used any further without re-evaluating the model design. There are no required toolboxes to compute this statistic.

• Platform: Matlab, Scripts
• Publisher: Jeff Burkey
• Date: 12-01-2013
• Size: 10 KB

This file executes the non parametric Mann-Whitney-Wilcoxon test to evaluate the difference between unpaired samples. If the number of combinations is less than 20000, the algorithm calculate the exact ranks distribution; else it uses a normal distribution approximation. The result is not different from RANKSUM MatLab function, but there are more output informations. There is an alternative formulation of this test that yields a statistic commonly denoted by U. Also the U statistic is computed. Syntax: STATS=MWWTEST(X1,X2) Inputs: X1 and X2 - data vectors.

• Platform: Matlab, Scripts
• Publisher: Giuseppe Cardillo
• Date: 17-03-2013
• Size: 10 KB

It has never been easier to be a teacher and create and grade tests as it is now with Markosoft's Test Creator and Test Taker applications. With the Test Creator, you can effortlessly build tests that include multiple choice, true/false, short answer, and essay questions and the tests can either be printed out in paper format or fully automated and administered using the Test Taker application. To enjoy fully computerized test administration and grading, first create a class and add all of your students to the class.

• Platform: Windows
• Publisher: Mark Bowden
• Date: 01-10-2003
• Size: 1290 KB

Achieving a degree of any kind can be an arduous task, and preparing for the numerous tests that occur along the way is one of the unpleasantries of higher education. Markosoft's Test Prep application was designed by one of our in-house consultants to make studying for a test a walk in the park. The program's layout resembles a matching test where each answer matches exactly one question in the list. The straightforward interface of the Test Prep program is one of the things that makes it so powerful.

• Platform: Windows
• Publisher: Mark Bowden
• Date: 01-10-2003
• Size: 665 KB

This software is a kind of test tool. It supports these functions: to create test paper, to set up test pool ( Questions can include true-false and multiple-choice question), to be a test mode or a exercise mode, to grade test automatically, to prevent cheat, to analyse achievement automatically, to output paper to WORD and analysis to EXCEL, to support different classes to differently test at the same time, to be run in network or single environment. 1.This software can be run in network for the teacher to manage large-scale network test and in stand-alone PC for the student to practice a exercise.

• Platform: Windows
• Publisher: SIQISoft
• Date: 01-05-2005
• Size: 894 KB

The Image Recognition Plugin is a powerful add-on that uses machine vision technology for web testing sites that contain non-HTML elements. The Plugin supports Flash applets, Java applets, Movie Player Applets, ActiveX, and all other controls. The Image Recognition Plugin is the world's first technology that allows you to automate and test web sites using images instead of cumbersome X/Y coordinates. It relies only upon the images that are rendered in the browser, regardless of the technology that created them.

Spelling Test Practice allows you to create, record, and save a spelling list so that you can practice each day for a spelling test. Lists are saved to the hard drive as name.spl files. You enter a spelling word and record its pronunciation so that when you take a practice test, you hear the word. You can view reports of your grades and misspelled words. Great for Junior High and High School students..

• Platform: Windows
• Publisher: Chris Harryman
• Date: 14-07-2005
• Size: 3638 KB

- Test your typing skills with this free typing tutor software. - How fast can you type ? - How many keystrokes per minute can you make ? - Is your typing accuracy good enough ?.

• Platform: Windows
• Publisher: Giletech e.K.
• Date: 20-08-2005
• Size: 478 KB

Test your typing speed with this free typing test software. - How fast can you type ? - How many words per minute ( wpm ) can you make ? - Is your typing accuracy good enough ? - Improve your typing skills with this free typing tutor !.

• Platform: Windows
• Publisher: Giletech e.K.
• Date: 17-09-2005
• Size: 478 KB

Pass CIW 1D0-520 in first attempt. 150 Questions with detailed explanation. 1D0-520 Study notes, Articles and Mock Test. 99% pass rate, 100% money back guarantee. Based on Latest CIW CIW Certification Exam pattern Exam Simulation and Study Guide. Download 1D0-520 Now This Practice test can be used for following CIW's certificaitons exam: CIW, CIWCI, CIWPRO, MCIWDSGNR, and MCIWWSMGR uCertify PrepEngine has following features: --------------------------------------------- 1. Adaptive Testing 2.

• Platform: Windows
• Publisher: uCertify
• Date: 20-12-2005
• Size: 8436 KB
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