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SLGallery, a unique probability distribution calculation toolbox featuring 11 continuous and 4 discrete functions to plot graph and find values for probability density, cumulative distribution (CDF), survival and Hazard functions. SLGallery calculates new values and plots graphs immediately after you change an argument allowing for dynamic representation of probability distribution, saving precious time and providing accurate data for analysis.
Normal Distribution and Invers Normal Distribution - Chi Square Distribution and Invers Chi Square Distribution - t Distribution and Invers t Distribution - F Distribution and Invers F Distribution - Binomial Distribution - Poisson Distribution - Hypergeometric Distribution - Factorial Function - Binomial Coefficent.
Wikipedia is a Web-based, multi-language, free-content encyclopedia written collaboratively by volunteers and sponsored by the non-profit Wikimedia Foundation. It has editions in roughly 200 different languages (about 100 of which are active) and contains entries both on traditional encyclopedic topics and on almanac, gazetteer, and current events topics. Its purpose is to create and distribute a free international encyclopedia in as many languages as possible. Wikipedia is one of the most popular reference sites on the internet, receiving around 60 million hits per day.
A software for researches in linguistics, it allows you to create databases of terms/meanings with relative occurrences in texts, to manage and update data and to perform any kind of search. Search results can be exported to MS Word, Open Office or HTML. It includes a complete manual and a sample database with terms of address in ancient Hebrew. Languages: English and Italian. Check for updates; source code available; license GNU-GPL.
Software developed to perform electromagnetic scattering simulations mainly based on classical Mie theory solution. ScatLab features: scattered intensity polar diagrams for coated and uncoated spherical particles; scattered intensity versus theta graphs for coated and uncoated spherical particles; scattered intensity versus radius graphs for homogeneous spherical particles; extinction, scattering and backscattering cross section graphs; angle depolarization graphs; near field imaging for homogeneous spherical particles; Lorentz and Drude dielectric function implementation for refractive index calculation; support for T-matrix method computations and more.
This programme will compute effect size estimates for use in Meta-analyses. It will compute the Cohen's d effect size estimate, apply Hodges Adjustment for sample size (to Cohen's d) and also provide Hodges g effect size estimate. It will also provide 95% confidence intervals for the derived effect sizes. It contains a full help help file and is really quite self explanatory.
The Reliable Change Generator was developed to help clinicians, researchers and students to assess whether any change apparent in a client (or anything/one for that matter) isn't just an artefact of measurement. This computer programme was developed to reduce the time it takes to assess reliable change and facilitate the increased use of this statistic in practice and research.
Spikoscope helps browse and analyze electrophysiological recordings, through filtering, detection of events and frequency estimation, in intra- and extracellular signals. Spikoscope generates/prints common and some original analysis figures.
Two Channels Frequency Generator 1.0 Two Channels Frequency Generator allows independent control of frequency, phase and volume on left and right channels. Measured data points can be easily captured to data table for storage and later statistical analysis. The generator is the perfect tool for psychophysics and psycho-acoustics laboratory experiments.
Pseudo Random Number Generator 1.0 The 'Pseudo Random Number Generator' produces sequences of pseudo random numbers useful for simulation and research. Discrete uniform distribution on a,a+1,...,b-1,b. Continuous uniform distribution on the interval [a,b]. Normal distribution with a mean of m and a variance of v.
'Exact Test' always gives you exact P-values, regardless of your data structure. The asymptotic approximations are not valid for small samples, the ability to perform exact statistical tests frees one from the worries of the quality of asymptotic P-values.
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