Directory of Regression and Curve Fitting Resources

Home > Science > Math > Statistics > Software > Regression and Curve Fitting

Statistics Software with emphasis on Multiple Regression analysis and Curve Fitting for Time Series and Cross Section Data. Various estimation methods fall into this category: Ordinary Least Squares, Maximum Likelihood, MC Simulation, Bootstrap, etc...

Resources in This Category

• Hirosoft

  http://www.hirosoft.com/
  Information about Epicure software for risk regression using non-linear models and complex rate(person-year) computations.

• Least Squares Method Program

  http://www.prz.rzeszow.pl/~janand/
  A nonlinear least squares fitting program that handles input errors or a covariance matrix on each axis. The curve fitting can use many curves simultaneously and stick them together with their parameters or points, in many dimensions.

• Multiple Regression Components for Delphi

  http://www.aasdt.com/statistics/mlr.html
  Programs for analytical applications. Includes technical support.

• Nonlinear Statistical Regression Analysis

  http://www.nlreg.com/
  General linear and nonlinear statistical regression analysis.

• Oakdale Engineering

  http://www.oakdaleengr.com/
  DataFit curve fitting (nonlinear regression) and data plotting software.

• Online Regression Tools

  http://www.xuru.org/rt/toc.asp
  A collection of tools to work out various types of regression online: linear, logarithmic, exponential, power, polynomial, multiple lineal, multiple polynomial, nonlinear...

• Spatial Statistics

  http://www.spatial-statistics.com/
  Used for estimating large spatial autoregressions via maximum likelihood. Contains MATLAB and Fortran 90 software.

• Statistical Trending And Reporting System

  http://www.integrativesolutions.net/stars.htm
  21 CFR Part 11 compliant trending tool that includes linear regression, shelf life estimation, graphical analysis, SPC/SQC, and environmental trending.

 

Home > Science > Math > Statistics > Software > Regression and Curve Fitting

 

---

 

Thanks to DMOZ, which built a great web directory for nearly two decades and freely shared it with the web. About us