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EasyFit
Fit over 40 probability distributions to your data and select the best model in seconds. Reduce your analysis times and make better decisions by applying the state-of-the-art data fitting methods, goodness of fit tests, and high-quality graphs.
AMRandom
AMRandom is a Delphi translation of Alan Miller's Random Module for FORTRAN. Supplies several different distributions of random numbers including Normal, Poisson, Gamma, etc. Includes Full Delphi Source and Demo
ZRandom
ZRandom implements high quality random number generation for Microsoft Excel using the Mersenne Twister algorithm and includes 16 distributions. Generate using Excel formulas, VBA or using the user interface. Implements random sort and random sample.
WebCab Probability and Stat for .NET
Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications.
WebCab Probability and Stat for Delphi
Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications.
StatAssist
View graphs and related properties of more than 40 probability distributions, calculate statistical moments, quantiles, and probabilities depending on the distribution parameters.
Fit over 40 probability distributions to your data and select the best model in seconds. Reduce your analysis times and make better decisions by applying the state-of-the-art data fitting methods, goodness of fit tests, and high-quality graphs.
AMRandom
AMRandom is a Delphi translation of Alan Miller's Random Module for FORTRAN. Supplies several different distributions of random numbers including Normal, Poisson, Gamma, etc. Includes Full Delphi Source and Demo
ZRandom
ZRandom implements high quality random number generation for Microsoft Excel using the Mersenne Twister algorithm and includes 16 distributions. Generate using Excel formulas, VBA or using the user interface. Implements random sort and random sample.
WebCab Probability and Stat for .NET
Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications.
WebCab Probability and Stat for Delphi
Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications.
StatAssist
View graphs and related properties of more than 40 probability distributions, calculate statistical moments, quantiles, and probabilities depending on the distribution parameters.
SPONSORED LINKS