Regression Model

The art of fitting a nonlinear regression model often starts with choosing a model form. This submission is an attempt to teach the reader a simple but general paradigm for their models as a sum of fundamental shapes that are then shifted and scaled to fit the data.I've included a bestiary of... Platforms: Matlab

Despite the fact that many phenomenon in physical or social sciences involve interaction between causal factors, it seems that very few researchers using multiple regression or structural equation modeling techniques do investigate for the presence of those interactions. If fact, in the context... Platforms: Windows

This is a Wrapper (calling a simple cmd line), it includes the WEKA.jar file, the arff read and arff write files from Durga Lal Shrestha and My scripts to link them and run Model Tree, Neural Networks, support vector regression models, Linear Regression model etc, it includes a testing script... Platforms: Matlab

Adds the statistical functions ANOVA (OneWayANOVA-Stacked, OneWayANOVA-Unstacked, TwoWayANOVA)and Multiple Linear Regression ( output with Coefficients and further forecasting based on the Multiple Linear Regression model)into the Statistics Category of the function list of prevailing OpenOffice... Platforms: Mac

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

This function implements a method of using genetic algorithms to optimise the form of a polynomial, i.e. reducing the number of terms required in comparison to a least-squares fit using all possible terms, as described in the following paper:Clegg, J. et al, "The use of a genetic algorithm to... Platforms: Matlab

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

These are the utilities needed along the forecasting model previously submitted.They comprise optimization functions, statistics functions, all open source. Platforms: Matlab

The model relies on the theory of strength of least square curve fitting and auto regression techniques. Platforms: Matlab

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

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 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

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

Config::Model provides a framework to help in validating the semantic content of configuration data. Config::Model can also be used to provide a semantic check of options of a complex program like mplayer or transcode. How does this work ? Using this project, a typical configuration... Platforms: *nix

GO::Model::Term is a term or concept in an ontology. SYNOPSIS # From a file use GO::Parser; my $parser = new GO::Parser({handler=>obj}); # create parser object $parser->parse("gene_ontology.obo"); # parse file -> objects my $graph = $parser->handler->graph; # get L object my $term =... Platforms: *nix

Query-Oriented Model for XML is a lightweight XML processing framework for Java that promotes the use of XPath instead of Java code for consuming XML. The resulting code from Query-Oriented Model for XML, is simple and expressive with no meaningless objects and no meaningless parameters - just... Platforms: *nix

JSBSim Flight Dynamics Model is an open source flight dynamics model (FDM) that compiles and runs under many operating systems, including Linux, Apple Macintosh, Microsoft Windows, Linux, IRIX, Cygwin (Unix on Windows), etc. The FDM is essentially the physics/math model that defines the... Platforms: *nix

Yukatan data model project is the schema definition of the Yukatan webmail database. The PostgreSQL database structures defined in this file can be used as a backend store of an email message handling application. The database should be created with the "UNICODE" encoding to properly support... Platforms: *nix

Misfit Model 3D is an OpenGL-based 3D model editor that works with triangle-based models. Misfit Model 3D supports multi-level undo, skeletal animations, simple texturing, scripting, command-line batch processing, and a plugin system for adding new model and image filters. Complete online help... Platforms: *nix

XML Tree Object Model Parser is an easy to use XML parser designed to provide an easy and simple to use library for parsing XML configuration files. It is split into two components. The first one is the Parser itself, which uses J2SE 1.4 XML Parsing API, and the second one is what I call XML... Platforms: *nix