|
|
EasyFit
-
Version
3.0
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. EasyFit provides numerous features designed to
save you time, prevent analysis errors, and help you
make better decisions.
An integrated environment provided by EasyFit includes
data management, analysis, and reporting capabilities
ensuring the high quality of your projects. It is very
easy to learn and use - requires only a basic knowledge
of statistics, so you can master it in a day or two.
The key feature of EasyFit is the ability to
automatically fit over 40 distributions to sample data.
Advanced users can also apply the flexible manual
fitting capability. After the distributions are fitted,
they are ranked accordingly to the goodness of fit
tests (Kolmogorov-Smirnov, Anderson-Darling,
Chi-Squared) allowing you to select the best model.
A variety of high-quality graphs (probability density
(PDF), cumulative probability (CDF), survival, hazard,
P-P plot etc.) can be used to visually compare the
fitted distributions and make sure you have chosen the
most valid one. Finally, you can use the integrated
StatAssist tool to get comprehensive information
(moments, quantiles, probabilities) on the selected
distribution.
Additional features include hypertext reports, a random
number generator, and a visual distribution gallery.
Distributions: Bernoulli, Beta, Binomial, Cauchy
(Lorentz), Chi-Squared, Discrete Uniform, 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, Phased
Bi-Exponential, Phased Bi-Weibull, Poisson, Power
Function, Rayleigh, Student's t, Triangular, Uniform,
Wakeby, Weibull.
|