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Title and Version   EasyFit v3.0
 
Author   MathWave Technologies
 
Release Date   01 August 2006
 
Operating Systems   Win98,WinME,WinNT 4.x,Windows2000,WinXP,Windows2003
 
Short Description   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 data, making the analysis as easy as possible. easyfit supports over 40 probability distributions, goodness of fit tests, and high-quality interactive graphs, enabling you to develop more valid models and make better decisions.
 
PAD File URL   http://www.mathwave.com/pad/pad_easyfit.xml


Application Web Page   http://www.mathwave.com/products/easyfit.html
 
Author Web Page   http://www.mathwave.com
 
Keywords   distribution,fitting,probability,fit,goodness,excel,vba,simulation,density,cumulative,analysis,statistics,CDF,PDF,survival,hazar
 
Full Description   EasyFit allows to easily and quickly select the probability distribution which best fits to data, reducing your analysis times by 70-95% over manual methods. It includes numerous features designed to save you time, prevent analysis errors, and help you make better business decisions. The key feature of EasyFit is the ability to automatically fit over 55 distributions to sample data and select the best model (advanced users can apply the manual fitting feature). The goodness of fit tests (Kolmogorov-Smirnov, Anderson-Darling, Chi-Squared) and a variety of graphs (probability density, cumulative probability, survival, hazard, P-P plot, Q-Q plot etc.) help you compare the fitted distributions and ensure you have selected the most valid model. Finally, you can apply the integrated StatAssist tool to make business decisions based on the analysis results. The advanced Excel integration enables you to use the power of EasyFit right in Excel. EasyFit allows to perform worksheet data analysis and simulation, create advanced worksheet models, and develop VBA applications dealing with uncertainty to tailor your specific needs. Supported Distributions: Bernoulli, Beta, Binomial, Burr (Singh-Maddala), Cauchy (Lorentz), Chi-Squared, Dagum (Inverse Burr), Erlang, Error (Exponential Power), Error Function, Exponential, F Distribution, Fatigue Life (Birnbaum-Saunders), Frechet, Gamma, Generalized Gamma, Generalized Extreme Value (GEV), Generalized Logistic, Generalized Pareto, Geometric, Gumbel (Extreme Value), Hyperbolic Secant, Hypergeometric, Inverse Gaussian, Johnson SB, Johnson SU, Kumaraswamy, Laplace (Double Exponential), Levy, Logarithmic, Logistic, Lognormal, Log-Gamma, Log-Pearson III (LP3), Nakagami, Negative Binomial, Normal, Pareto, Pareto 2 (Lomax), Pearson 5 (Inverse Gamma), Pearson 6, Pert, Poisson, Power Function, Rayleigh, Reciprocal, Rice (Nakagami-n), Student's t, Triangular, Uniform, Wakeby, Weibull.


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