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EasyFit - Probability distribution fitting, goodness of fit tests, high-quality graphs.
  Devoloper: MathWave Technologies
License: Shareware
Price($): 149.95
OS: Win98,WinME,WinNT 4.x,Windows2000,WinXP,Windows2003
File Size(KB): 1913
Version: 1.3
Last Update: 2006-03-28
Rating:
Screenshot: Preview
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EasyFit is a distribution fitting software designed to facilitate probability data analysis and best model selection. It allows to easily and quickly select the probability distribution which best fits to your data. BENEFITS of EasyFit: saves you time and makes your work more efficient; helps you develop more valid models and make better decisions; provides unique features ensuring the high quality of your projects; requires only a basic knowledge of statistics. FEATURES of EasyFit: supports over 30 probability distributions; includes a powerful distribution fitting algorithm and a manual fitting capability for advanced users; supports goodness of fit tests and high-quality graphs; provides an Excel-like spreadsheet for data input and manipulation. Supported Distributions: Beta, Chi-Squared, Erlang, Error Function, Exponential, Gumbel (Extreme Value), Gamma, Inverse Gaussian, Laplace, Logistic, Lognormal, Normal, Pareto, Pert, Rayleigh, Student's t, Triangular, Weibull, Uniform. Supported Advanced Distributions: Generalized Extreme Value, Generalized Logistic, Generalized Pareto, Phased Bi-Exponential, Phased Bi-Weibull, Wakeby. EasyFit builds various graphs such as probability density function (PDF), cumulative distribution function (CDF), survival function, hazard function, P-P plot, and others. It allows to display several graphs of the same type on a single chart making it easy to compare two or more distribution curves. Some of the features (manual distribution fitting capability, support for advanced distributions, hypertext reports, and others) are unique and not available in other products. These features are designed to make your work even more productive. Additionally, with EasyFit you can build graphs of supported distributions even if you don't have sample data available, and export them to various formats.
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