Nonlinear regression analysis - CurveFitter 1.1
Nonlinear regression analysis - CurveFitter software performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions.
|
Nonlinear regression analysis - CurveFitter software performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions. The regression analysis determines the values of the parameters that cause the function to best fit the observed data that you provide. This process is also called "curve fitting".
Quickly Find the Best Equations that Describe Your Data
Curvefitter gives engineers and researchers the power to find the ideal model for even the most complex data, by putting a large number of equations at their fingertips.
Curvefitter's built-in library includes a wide array of linear and nonlinear models from simple linear equations to high order polynomials. Curvefitter's state-of-the-art data fitting includes the following capabilities:
A 38-digit precision math emulator for properly fitting high order polynomials and rationals.
A robust fitting capability for nonlinear fitting that effectively copes with outliers and a wide dynamic Y data range.
Graphically Review Curve Fit Results
Once your data have been fit, Curvefitter automatically sorts and plots the fitted equations by the statistical criteria of Standard Error. You can preview your graph and output publication-quality graphs in several different configurations. A residual graph as well as parameter output is generated for the selected fitted equation. Data, statistical and numeric summaries are also available from within the Review Curve Fit window.
With All This Power, it's’ Still Easy to Use
Curvefitter takes full advantage of the Windows user interface to simplify every aspect of operation -- from data import to output of results. I
tags
regression analysis order polynomials review curve curve fit high order your data the values and nonlinear find the

Download Nonlinear regression analysis - CurveFitter 1.1
Download Nonlinear regression analysis - CurveFitter 1.1
Purchase:
Buy Nonlinear regression analysis - CurveFitter 1.1
Similar software
Nonlinear regression analysis - CurveFitter 1.1
Institute of Mathematics and Statistics
Nonlinear regression analysis - CurveFitter software performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions.
Linear Regression 1.00
Orlando Mansur
Linear Regression performs linear regression using the Least Squares method.
Multiple Regression Analysis and Forecasting 1.0
Excel Business Tools
The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting business plan data.
Polynomial Regression 1.00
Orlando Mansur
Polynomial Regression performs multivariate polynomial regression using the Least Squares method.
NLREG 6.2
Phillip H. Sherrod
NLREG performs nonlinear regression and curve fitting.
ESBStats 2.1.0
ESB Consultancy
SESBStats is a statistical Analysis and Inference application for Windows covering everything from Average, Mode and Variance through to Hypothesis Analysis, Time Series and Linear Regression.
MacPotthoff II 1.00
Marley Watkins
MacPotthoff II is a standalone Windows application that performs Potthoff regression bias analysis.
Qmulate Data Manager 1.5.2
Trustaldo Software Solutions
Qmulate Data Manager is a simple general purpose statistical analysis application with the following statistical tests:
Analysis of Variance,
Central Tendency and Spread,
Chi Squared Test,
Factorial Experiments,
Hypothesis Testing,
Linear Regression Analysis,
Normal Probability Distribution,
Discrete Probability Distributions,
Quality Control,
Time Series Analysis,
Data Standardizing.
Analyse-it for Microsoft Excel 1.62
Analyse-it Software, Ltd.
Analyse-It for Excel, General Statistics offers statistical analysis to Microsoft Excel 95, 97, 2000 and XP,
With 14 parametric and 17 nonparametric procedures for descriptive statistics, testing normality, comparing groups, correlation, and regression.
DTREG 3.0
Phillip H. Sherrod
DTREG is a powerful statistical analysis program that generates classification and regression decision trees that model data and can be used to predict values.