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EasyFit 5.0

Fit more than 55 probability distributions to your data, select the best model, and apply the results to make business decisions. Reduce your analysis

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

Similar software:
  • Visual Probability 2.1 — Use Visual Probability to compute and graph PDF, CDF and quantile values of ten more distributions.
  • StatAssist 2.0 — View graphs and related properties of more than 40 probability distributions, calculate statistical moments, quantiles, and probabilities depending on the distribution parameters.
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