Search Results for "statistical" - Page 7

easy-to-use statistical package

Java Test Framework is another scripting environment, but with a Swing GUI (possible Swing Application Framework), version control on configuration files, profiling on the run, database storage and statistical processing on the results.

This open package aimed to draw some useful charts of Statistical Process Control(SPC) such as X-bar and R-chart, X-bar and S-chart, Process Capability, p and np type charts, c and u type charts. Any questions please contact:luo_cheng@msn.cn

For software developers in domains involving statistical analysis, the "R + Java = Inf" project analyses and enhances the interoperability between the R and Java programming languages. The deliverables are source code, documentation and benchmarks.

Depth Explorer is a visual interactive tool for learning about Statistical Data Depth and evaluating depth measures.

...Built using the Grails web application framework (http://grails.org/) with MySQL (http://www.mysql.com/) as a back-end datastore and utilizing R (http://www.r-project.org/) for statistical analysis. Developed by the Dana Farber Cancer Institute (http://compbio.dfci.harvard.edu/) and Entagen (http://www.entagen.com).

Supertagging is a process of statistical lexical disambiguation, preprocessing step to parsing, which assigns LTAG tree categories to the lexical items present in the input sentence. Thus, if the input sentence is in the form of a dependency tree, the task of the supertagger is to assign the most probable TAG family to each node and edge in the dependency tree.

OlsenRoutes is a software environment with a powerful difference. It provides online users with a library of statistical tools and access to Olsen's database (1985 through today) of tick-by-tick foreign exchange trading prices.

Statastizard(c)2012 Nick Emblow is a program designed to guide its user into the right statistical test, perform the test, and report the results in a meaningful way. The idea of this is that the user won't actually need to know that they are using a mann-whitney U over a t-test, for example - it just tests for normality and homoscedastic of variance, and decides which test to use, then reports the results. Why? Because time after time, people come to me with some test that they've done that they think "proves" something - when in reality they've either not done a comparative test to start with (ex. a correlation), failed to test for confounding factors (such as normality etc) and as a result, failed to appropriately identify even the right test to do.

SDMXAPI is intended to provide an opensource Java implementation of an SDMX Standards. SDMXAPI is released under the lesser GPL license. SDMX is an initiative to foster standards for the exchange of statistical information.