Linguistic Relativity Hypothesis

jATLAS is a Java implementation of ATLAS [Architecture and Tools for Linguistic Analysis Systems]. For more information, see http://jatlas.sourceforge.net.

Lindworm can simulate general and special relativity in realtime. It works well already. You can look at the screenshots!

The NITE XML Toolkit supports the creation, analysis, and browsing of annotated multimodal, text, or spoken language corpora, and represents both timing and rich linguistic structure. It contains libraries for developers and some end user tools.


Platforms: Windows, Mac, Linux

WordFreak is a java-based linguistic annotation tool designed tosupport human, and automatic annotation of linguistic data as well asemploy active-learning for human correction of automatically annotateddata.


Platforms: Windows, Mac, Linux

Worldlines visualizes special relativity, as particles near lightspeed trace paths in a 3D slice of 4D Minkowski spacetime. Scenes illustrate time dilation, the twin paradox, length contraction, and Bell's spaceship paradox.


Platforms: Windows, Mac, Linux

Server Explorer (with Schema Modeler) for Mac is the one-stop tool for managing and configuring Relativity Servers, developing and defining schemas for your middle tier, and browsing data from & testing DA SQL queries against both Relativity Server and cu


Platforms: Mac

Let us assume the following MIMO model:Y(k)=HX(k)+Y(k)This file can detect the number of sources, i.e the size of the vector X(k) from the received signal Y(k). The noise is assumed spatially white and the number of receivers must be strictly greater than the number of sources. For more details...


Platforms: Matlab

GRANGER_CAUSE is a Granger Causality Test. The null hypothesis is that the y does not Granger Cause x. A user specifies the two series, x and y, along with the significance level and the maximum number of lags to be considered. The function chooses the optimal lag length for x and y based on the...


Platforms: Matlab

Comparison of two survival curves can be done using a statistical hypothesis test called the log rank test. It is used to test the null hypothesis that there is no difference between the population survival curves (i.e. the probability of an event occurring at any time point is the same for each...


Platforms: Matlab

The Anderson-Darling test (Anderson and Darling, 1952) is used to test if a sample of data comes from a specific distribution. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than the K-S test. The K-S test is distribution free in the sense that the...


Platforms: Matlab

This simple function tests the null hypothesis that two variables are equally linearly correlated with a third variable when all three sets of observations were derived from the same "individuals" (i.e., a repeated measures/paired observations design). The test uses a t-distribution and was taken...


Platforms: Matlab

H = COCHRANQTEST(X) performs the non-parametric Cochran's Q-test on the hypothesis that the K columns of N-by-K matrix have the same number of successes and failures. H==0 indicates that the null hypothesis cannot be rejected at the 5 significance level. H==1 indicates that the null hypothesis...


Platforms: Matlab

Performs the nonparametric squared ranks test on quality of variance for two samples. Based on Conover (1981), 'Practical Nonparametric Statistics', pp. 239-248.Uses normal approximation for for m >10 (MATLAB fxn norminv or table if norminv unavailable). Uses normal approximation if ties exist....


Platforms: Matlab

In statistics, sequential analysis or sequential hypothesis testing is statistical analysis where the sample size is not fixed in advance. Instead data is evaluated as it is collected, and further sampling is stopped in accordance with a pre-defined stopping rule as soon as significant results...


Platforms: Matlab

Besides the power estimation it makes the hypothesis testing concerning the one-sample variance. The function only needs the sample variance, the sample size, the hypothesized value and the significance level.


Platforms: Matlab

Estimates the power and the hypothesis testing for difference between two variances. The one or two-tailed hypothesis is submitted to the variance ratio test, that automatically it places the larger variance in the numerator and the smaller in the denominator. File asks for the statistical...


Platforms: Matlab

This code implements a new method for quantile inference based on theoretical work found here: http://econ.ucsd.edu/~dkaplan/personalResearch.htmlExtensive simulations (Section 6 of paper has some examples) have shown it to control size better than bootstrap ("BS") methods and the analytic Hall...


Platforms: Matlab

Compares probabilities of two binomial samples X, Y from a Bernoully experiments with probability p1 for set X and p2 for set YTest the null hypothesis H_0: p1 = p2 vs alternatives H_1: p1 > p2 H_2: p1 < p2 H_3: p1 != p2 Input: X - row of 0 or 1 Y - row of 0 or 1 Output: z - normal statistics...


Platforms: Matlab

As you know, the Student t-test can be used only to compare two groups. When you have k groups you can't use a t-test for each couple because, if you have fixed alpha=0.05 for each t-test, there is a probability of k*0.05 to find a difference when it isn't (Bonferroni inequality).The Holm-Sidak...


Platforms: Matlab

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. orderedIf you do not choose to enter your own group scores then scores are allocated...


Platforms: Matlab