Easyfit 4.0 free download

EasyFit 4.0

Fit probability distributions to your data.

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. An integrated environment provided by EasyFit includes data management, analysis, and reporting capabilities ensuring the high quality of your projects. EasyFit requires only a basic knowledge of statistics. The key feature of EasyFit is the ability to automatically fit over 40 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 alllows 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, Cauchy (Lorentz), Chi-Squared, Erlang, Error Function, Exponential, F Distribution, Fatigue Life (Birnbaum-Saunders), Frechet, Gamma, Generalized Extreme Value (GEV), Generalized Logistic, Generalized Pareto, Geometric, Gumbel, Hypergeometric, Inverse Gaussian, Johnson SB, Johnson SU, Laplace (Double Exponential), Logarithmic, Logistic, Lognormal, Negative Binomial, Normal, Pareto, Pert, Poisson, Power Function, Rayleigh, Student's t, Triangular, Uniform, Wakeby, Weibull. Follow the link and free download EasyFit now.

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Related Tags by developer of EasyFit

distribution fitting probability fit goodness density cumulative graphs statistics cdf