Software Listing: 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 of the regression model and input data..

  • Publisher: Martin V
  • Date: 10-04-2013
  • Size: 10 KB
  • Platform: Matlab, Scripts

Standard Curve is a lightweight and easy to use application designed to help you apply the least square method in order to generate polynomial curves.

The program can perform standard curve analysis and polynomial regression. Based on user-defined concentration and read values, it automatically plots the regression curve.


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  • Platform: Windows 7, Windows 8, WinOther, WinVista

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 first click onward connects the mouse-pointer to the previous mouse click location by a line. USES: * ginput_OH by Oscar Hartogensis (inlcuded in zip-file) which includes the selectable cursor pointer option from MYGINPUT by F. Moisy (../fileexchange/12770-myginput) * Uses (but will function without): --> splinefit.

  • Platform: Matlab, Scripts

UltimaCalc is a scientific and mathematical calculator designed to occupy minimum screen area, making it immediately available for use. UltimaCalc can stay on top of other windows. Type a calculation as plain text, evaluate it, maybe edit it and re-calculate. Has a comprehensive context-sensitive help system. Calculates to 38 digit precision. The display can be limited to just 8, 12 or 16 digits, and digits grouped for readability. Two 'scientific' view modes show numbers always in exponent format. The 'engineering' mode uses suffixes such as k (kilo) and M (mega). View results in hexadecimal and as ratios.

  • Publisher: UltimaCalc
  • Date: 14-06-2006
  • Size: 3112 KB
  • Platform: Win2000, Windows Server, WinOther

UltimaCalc Professional is a highly functional graphing math toolbox with a compact and intuitive design offering the ultimate balance of power and convenience. Its algebra module lets you perform manipulations and simplifications on basic and complex algebraic expressions. UltimaCalc lets you do calculus: differentiate an expression, or find its integral and ask how this was found. You can factorise polynomials, multiply and divide one polynomial by another, find the GCD of two polynomials. Expand and contract trig expressions. Calculate Taylor series, define your own functions, and calculate exact results (try evaluating the factorial of 1000).

  • Publisher: UltimaCalc
  • Date: 29-08-2008
  • Size: 3223 KB
  • Platform: Win2000, Windows Server, Windows Vista, WinOther

A compilation of components for Visual Studio WinForms framework for generating Cartesian X/Y-plots from scientific and financial data. It supports a large variety of axis scaling types, series, calculated line legends, movable markers, etc., and thus gives you a tool for generating scientific and financial graphing programs easily, while retaining numerous options for tailoring the end product to the requirements of you and your customers. * Plots as easy as creating arrays * Fully working program within a few minutes see example * From online data acquisition graphing to stock charting applications * Unlimited number of secondary axis * Lines, point symbols, error indicators, arrows, bars, bands, bubbles, OHLC (western plot), candle stick, moving average * Linear and non linear regression, interpolation, differential, integral * Auto...

  • Platform: WinOther, WinVista

The most powerful Sci/Eng calculator for Windows. Expression evaluation, 18 digits of precision, variables, >100 functions, unit conversion, polynomial roots, interpolation, polynomial regression, linear algebra, numerical integration and differentiation, systems of linear, non-linear and differential equations, multi-argument functon optimization and fitting, curve, point and histogram graphs, statistical operations, computer math (bin/oct/hex)..

  • Platform: WinOther

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 that model. (Like a Savitzky-Golay filter.) All of this can be done efficiently in Matlab using filter. Note that this tool does not constrain the length of the support to be even or odd. Also, this tool uses pinv to generate the filter coefficients - a more stable and accurate methodology than does the sgolay tool on the file exchange.

  • Platform: Matlab, Scripts

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 HTML. Copy and paste also works of course. Some readers may find this tool valuable if only for the function pleas - a partitioned least squares solver based on lsqnonlin. This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I've missed are welcome, as are corrections of my probable numerous errors.

  • Platform: Matlab, Scripts

Spectral Analyser supports both text format spectrometer readings as well as the .SPC file type. As well as allowing a user to store data locally (e.g. SD card ) the application also supports Dropbox storage.

This application allows a user to interrogate spectra and identify peaks as well as overlay multiple spectra. There is also a subtraction tool which can be used along with the polynomial regression tool to reduce noise. This application supports polynomial regression based up to the tenth degree (by using Chebyshev's polynomials).

NOTE: When using Dropbox functionality, do not create sub folders, place files directly in the folder created within your Dropbox account

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  • Platform: Android 3.x, Android 4.4, Android 4.x

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 you provide. This process is also called curve fitting. Fit thousands of data into your equations in seconds: Curvefitter gives scientists, researchers and engineers the power to find the ideal model for even the most complex data, including equations that might never have been considered. You can build equation set which can include a wide array of linear and nonlinear models for any application.

  • Platform: Win2000, Win7 x32, WinOther, WinVista

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 handle linear, polynomial, exponential, and general nonlinear functions.

DataFitting performs true nonlinear regression analysis, it does not transform the function into a linear form. As a result, it can handle functions that are impossible to linearize such as:

y = (a - c) * exp(-b * x) + c

Quickly Find the Best Equations that Describe Your Data:
DataFitting gives students, teachers, engineers, researchers and other professionals the power to find the ideal model for even the most complex data, by putting...

  • Platform: Win2000, Win7 x32, WinOther, WinVista

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 summarized in text form to be easily understood. When predictive relationships have been identified by the regression analysis, forecasting can be quickly accomplished based on a range of available methodologies and accompanying statistical strength. An intuitive stepwise work flow enables to develop strong forecasts for projects in a timely manner.

  • Platform: Win98, WinOther, Win2000, WinXP, Win7 x32, Win7 x64, Windows 8, WinVista, WinVista x64, Mac Other, Mac OS X

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 provide. This process is also called curve fitting. Fit thousands of data into your equations in seconds: CurveFitter gives scientists, researchers and engineers the power to find the ideal model for even the most complex data, including equations that might never have been considered. You can build equation set which can include a wide array of linear and nonlinear models for any application.

  • Platform: Win2000, Win7 x32, Win7 x64, Win98, WinOther, WinVista, WinVista x64, WinXP, Other

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 linear, cubic spline, bessel and monotonic \'constrained\' splines, as well as a \'flexible spline\' that allows you to specify the slope at each data point. Cubic spline function coefficients and slope can also be returned. Data smoothing functions include moving average, median filter, and a Gaussian smoothing filter.

  • Platform: Win2000, WinXP, Win7 x32, Win7 x64, Windows 8, Windows 10, WinServer, WinOther, Windows2000, Windows2003, Windows Server 2012, Windows Tablet PC Edition 2005, Windows Media Center Edition 2005, WinVista, Windows Vista, WinVista x64

The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting business plan 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 been identified, forecasting can be accomplished based on a range of available methodologies..

  • Platform: WinOther

Calculates regression different models and tests includes Pearson's Correlation Coefficient, Ordinary Least Square, Coefficient of Determination, Statistical Test of Significance. Also the software provides narrative explanation of data analysis. All about Afghanistan - Welcome. Afghanistan history, culture and people, Islam, Afghanistan Economic, Economy of Afghanistan, Afghani Music, Afghan students of Economics.

  • Platform: Win2000, Win7 x32, Win7 x64, Windows Server, WinOther, WinVista, WinVista x64
  • Sake
  • License: Freeware
  • Price: 0.00
  • Rating

Sake is a PHP implementation of Polynomial Least Squares Regression. The algorithm takes data points as input and returns the resulting polynomial. Graphs can be made using any plotting package. Sake provides the polynomial and will compute as many point.

  • Platform: Linux, Mac OS X, WinOther

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. order: polynomial order. (default=1) nboot: number of bootstrap surrogates used in statistical inference.(default=200) stats is a structure with the following fields: .pse: standard error on p. (not independent) .pboot: the bootstrapped polynomial coefficients. .yfitci: 95% confidence interval on polyval(p,x) Note: uses bootstrap on residuals for statistical inference.

  • Platform: Matlab, Scripts

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 variable, ydata is a matrix). - patternsearch: this solver is useful to obtain a good start point, before using nlinfit or lsqonolin; this way, the global minimum is determined easier. Data is introduced in the GUI as vector or matrix from the workspace. The model to be fitted must be written in an M-file in vectorized form: ypred = model(x,xdata) ypred is a column vector (univariate problem) or matrix (multivariate problem) with the model response (observations in rows).

  • Platform: Matlab, Scripts

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