Polynomial Regression

This code implements the 1D polynomial regression method. It uses the least square method for the finding of regression polynomial coefficents. Outputs of the script are polynomial regression coefficients, residuals, the sum of squared errors, the determination index and the graphical comparison... Platforms: Matlab

Rt-Plot is a tool to generate Cartesian X/Y-plots from scientific data. You can enter and calculate tabular data. View the changing graphs, including linear and non linear regression, interpolation, differentiation and integration, during entering. Rt-Plot enables you to create plots fast and... Platforms: Windows

BioStat - user-friendly biology and medicine oriented statistical software. With BioStat 2007, one gets a robust suite of statistics tools and graphical analysis methods that are easily accessed though a simple and straightforward interface. While BioStat 2007 is aheavy-duty biology and medicine... Platforms: Windows

This package contains program adaptations to invert large matrices with thousands of elements and solve linear system with many variables (up to 250 ). Operations performed are: inversion, multiplication, solving linear system, linear regression and polynomial regression. A useful Excel addin is... Platforms: MS Excel Add-in

The gradient function in Matlab allows you to compute the slope of a curve along its entire length. But if your curve is a noisy one, then gradient will also be noisy. In this event one might desire to fit a moderately low order polynomial regression model in a sliding window, then differentiate... Platforms: Matlab

clickfit_OH.m lets you mouse-click a series of datapoints on top of a (noisy) scatterplot and returns a spline or polynomial regression through the clicked dataseries. In addition the clicked series itself is returned.clickfit_OH.m uses an altered version of ginput.m (ginput_OH.m) that from the... Platforms: Matlab

New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems.Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to... Platforms: Matlab

CurveFitter program 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... Platforms: Windows, Other

CurveFitter 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... Platforms: Windows, Windows 7, Other

The Multiple Regression Forecasting model provides a solid basis for identifying value drivers and forecasting data. While it utilises a range of commonly employed statistical measures to test the validity of the analysis, results are summarized in text for ease of use. Once relationships have... Platforms: Windows

The Multiple Regression Analysis and Forecasting template enables the confident identification of value drivers and forecasting business plan or scientific data. The multiple regression process utilizes commonly employed statistical measures to test the validity of the analysis and results are... Platforms: Windows, Mac, Windows 8, Windows 7

Data Curve Fit Creator Add-in is an easy-to-use data analysis add-in for Microsoft Excel. It adds curve fitting, interpolation, and data smoothing functions to Excel. Curve fitting functions include polynomial fits and a versatile local regression (loess) function. Interpolations include... Platforms: Windows, Windows 8, Windows 7, Windows Server

DataFitting is a powerful statistical analysis program that performs linear and nonlinear regression analysis (i.e. curve fitting). DataFitting determines the values of parameters for an equation, whose form you specify, that cause the equation to best fit a set of data values. DataFitting can... Platforms: Windows

Regression mAKEr project is a simple modular application for data investigation. This is an application to help user (mathematician) to make regression between series of data, draw grpahics, and export them into various formats by means of common graphics packages (i.e., gnuplot, plotutils). It... Platforms: *nix

Math::Polynomial::Solve is a Perl module to find the roots of polynomial equations. SYNOPSIS use Math::Complex; # The roots may be complex numbers. use Math::Polynomial::Solve qw(poly_roots); my @x = poly_roots(@coefficients); or use Math::Complex; # The roots may be complex numbers.... Platforms: *nix

Sagata Multiple Regression software offers the power of a professional regression package with the ease and comfort of a Microsoft Excel interface.Features include:Qualitative/Categorical Factors - often inputs or factors in model fitting are qualitative or categorical in nature, e.g., the type... Platforms: Windows

The model relies on the theory of strength of least square curve fitting and auto regression techniques. Requirements: - MATLAB 7.5 or higher Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

Quantile Regression USAGE: [p,stats]=quantreg(x,y,tau[,order,nboot]); INPUTS: x,y: data that is fitted. (x and y should be columns) Note: that if x is a matrix with several columns then multiple linear regression is used and the "order" argument is not used. tau: quantile used in regression.... Platforms: Matlab

The non-linear regression problem (univariate or multivariate) is easily posed using a graphical user interface (GUI) that solves the problem using one of the following solvers: - nlinfit: only univariate problems. - lsqnonlin: can deal with multivariate problems (more than one dependent fitting... Platforms: Matlab

These functions show some advances about MPF (Matrix Polynomial Fraction) using for represent multivariable models and design multivariable control system. Platforms: Matlab