Curvilinear Regression Example
Example code to accompany the "New Regression Capabilities" presentationExample code illustrating the use of the following Statistics Toolbox functionsLinearModelNonLinearModelGeneralizedLinearModel
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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...
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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...
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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
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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...
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Catalyst::Example::InstantCRUD is a CRUD scaffolding for Catalyst. SYNOPSIS instantcrud.pl -name=My::App -dsn=dbi:Pg:dbname=CE -user=zby -password=pass The instantcrud.pl executable creates a skeleton CRUD application in current directory. The parameters are: name of the application and...
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Catalyst::Example::Controller::InstantCRUD is a Catalyst CRUD example Controller. SYNOPSIS use base Catalyst::Example::Controller::InstantCRUD; METHODS load_interface_config Returns the config hash for input forms (widgets) and other interface elements get_resultset Returns the...
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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
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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...
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Proxy Example script demonstrates how to build a proxy object.
Platforms: Windows, Mac, *nix, Python, BSD Solaris
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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
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This example shows how to implement a Listbox control into your applications.It also shows how to add, delete, kill duplicates and search for an item. & add, delt;
Platforms: C and C plus plus
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Windows Animation Example code shows you how to make animation in C .
Platforms: C and C plus plus
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Play Wav File Example shows how to play a .wav file through your application and the different options (SYNC, ASYNC, LOOP).
Platforms: C and C plus plus
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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....
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Programs and utility functions using the Symbolic Math Toolbox are provided to analyze vectors and tensors in general curvilinear coordinates. The programs perform the following functions: 1) runcoord plots intersecting coordinate surfaces for typical coordinate systems 2) runmetric computes and...
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This function will perform a local regression at the given points. Using the data at hand. You will need to input a spanwidth which will tell the function how many datapoints he will use in the local regression at each evaluation.Example...
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M-files for unimodality (or monotonically) constrained least squares regression.
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INPUTS: x - vector row with 'x' values y - vector row with 'y' values r - expected 'x'-coordinate of break point if r is empty it is calculated during the optimisation p - if p is equal to 1 the fit is plotted OUTPUT: th - estimated paremeters of the regression lines y_1 = th(1) + th(2) * x y_2 =...
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Plot data in a figure, and then interactively choose regression area. The result from polyfit is returned.Example:x=1:1:10;y=sin(x);f=figure; plot( x,y );[p,h] = figreg( f, 2 );%fit a second order polynom to selected region in plot
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