easyfit

EasyFit was especially designed to offer reliability data analysis automation and best model selection.

EasyFit provides a complete set of features allowing to fit probability distributions to your reliability data, analyze the results and select the model which best describes the data.

EasyFit enables you to select the most adequate distribution which best fits to your data, allowing you to be protected against potential time & money losses that can take place in case of invalid model selection.

EasyFit allows you to save your time by automation of the distribution fitting process. It has an intuitive user interface which provides easy and fast access to all the program features, thus simplifying your work

Here are some key features of "EasyFit":

· Five classical reliability distributions
· Two advanced distributions
· Automatic parameter estimation procedures
· Two goodness of fit tests
· High-quality graphs
· Descriptive statistics calculation
· Excel-like spreadsheet for data entering & manipulation
· Data importing (Excel, ASCII)
· Easy to use interface
· On-line documentation
· Analyze your data sets even if they are very large
· Develop better models by applying advanced distributions
· Make right & quick decisions with interactive reports

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, Students t, Triangular, Uniform, Wakeby, Weibull.

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. The integrated environment provided by EasyFit includes data management, data analysis, and reporting capabilities.

BENEFITS of EasyFit:
Saves time: reduces your analysis times by 70-95% over manual methods;
Saves money: prevents analysis errors and helps you make better decisions;
Ensures the high quality of your projects;
Requires only a basic knowledge of statistics.

KEY FEATURES:
Support for over 40 probability distributions;
Powerful automated fitting mode;
Flexible manual fitting capability;
High-quality interactive graphs;
Goodness of fit tests;
Hypertext reports;
Probability calculations;
Easy to use interface.

ADDITIONAL FEATURES:
Ability to view graphs of distributions without entering the data; Excel-like spreadsheet; Integrated random number generator; Descriptive statistics; Comprehensive Help system.

SUPPORTED GRAPH TYPES:
Probability density function (PDF), cumulative distribution function (CDF), survival function, hazard function (failure rate), P-P plot, and others. Graphs can be exported to various formats or printed.

SUPPORTED DISTRIBUTIONS:
Continuous: Beta, Cauchy, Chi-Squared, Erlang, Error Function, Exponential, F Distribution, Fatigue Life (Birnbaum-Saunders), Frechet, Gamma, Generalized Extreme Value, Generalized Logistic, Generalized Pareto, Gumbel Max, Gumbel Min, Inverse Gaussian, Johnson SB, Johnson SU, Laplace (Double Exponential), Logistic, Lognormal, Normal, Pareto, Pert, Phased Bi-Exponential, Phased Bi-Weibull, Power Function, Rayleigh, Students t, Triangular, Uniform, Wakeby, Weibull.

Discrete: Bernoulli, Binomial, Discrete Uniform, Geometric, Hypergeometric, Logarithmic, Negative Binomial, Poisson.