Spss Regression Models

- This demo supports R2006a -> R2010aSimulink plant and controller models are used with LEGO's latest high-tech robot (ARM-based LEGO Mindstorms NXT) to illustrate industrial application of Model-Based Design with Production Code Generation. Take note of the model architecture and component...

This project deals with the translation of a Simulink models to SpecC specificationmodels. Matlab is one of the leading softwares in model based and algorithmic designing. SpecC (close to ANSI C) is a high level language which can be implemented on hardware usingSystem on Chip Environment(SCE)....

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

TPT offers unique and all-encompassing support for testing MATLAB/SimulinkdlT«/Stateflow- and TargetLinkdlT« models. The strengths of both systems can be used because of the perfectly tuned interface between TPT and MATLAB/Simulink. Functional models are created normally in...


Platforms: Matlab

These files support the webinar titled "Developing Models from Experimental Data Using System Identification Toolbox". The webinar was presented on April 05, 2007 and can be found at:http://www.mathworks.com/wbnr30317For other webinars and demos related to System Identification Toolbox, please...


Platforms: Matlab

This submission includes functions and scripts for the estimation and simulation of ACD (autoregressive conditional duration) models. The zip file includes: - Scripts and functions for Estimation of an ACD(q,p) model with exponential or weibull distribution- Scripts and functions for Simulation...


Platforms: Matlab

This toolbox was designed to simulate and fit linear state space models. The main literature I used for this particular package is Kim and Nelson (1999). A state space model (without non stochastic coefficients) is given by:y(t)=beta(t)*x(t)'+e(t)...


Platforms: Matlab

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning...


Platforms: Matlab

An essential step in embedded software development, floating- to fixed-point conversion can be tedious, labor-intensive, and error-prone. System engineers frequently design algorithms in floating-point math, usually double-precision. This format represents the ideal algorithm behavior but takes...


Platforms: Matlab

Slides, software, and data for the MathWorks webinar, "Using MATLAB to Develop Macroeconomic Models." The file moneydemo.zip contains a file moneydemo.pdf with slides for the webinar and a collection of MATLAB scripts and helper functions to perform a number of macroeconomic analyses. The main...


Platforms: Matlab

mex c++ interface to call Eureqa server directly from matlabThe code enables symbolic regression with possible user-defined operators (such as +, -, *, /, ^, exp, log, sin, cos, abs, tan). Applications range from a detection of hidden data relationships to nonlinear regression of different kinds...


Platforms: Matlab

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...


Platforms: Matlab

In this paper i present my views on how to do systematic testing of SIMULINK models. The views present are from my own perspective based on my experience working with model based product development applications. I also provide information on some testing tools and other tips. Please let me know...


Platforms: Matlab

This is a parallel implementation of the Expectation Maximization algorithm for multidimensional Gaussian Mixture Models, designed to run on NVidia graphics cards supportingCUDA. On my machine, it provides up to 170x performance increases (16 dims, 16 clusters, 1000000 data points).See the report...


Platforms: Matlab

The purpose of this file is to provide beginners a way to understand and analyse time varying coefficient values within regression analysis particularly with financial data analysis.The file is easily customisable to suit requirements and contains information describing the code for ease.I am new...


Platforms: Matlab

This function implements multivariant Gaussian kernel regression and smoothing. A few examples show how it can be used to smooth 3-d noisy images with missing data.For tutorial purpose, the function is implemented in the simplest form. Therefore, it is particularly suitable for beginners to learn...


Platforms: Matlab

Leave-one-out cross-validation for PLS regression or discriminant analysispls_cv = plscv(x,y,vl,'da')input:x (samples x descriptors) for cross-validationy (samples x variables) for regression or (samples x classes) for discriminant analysis. Classes numbers must be >0.vl (1 x 1) number of latent...


Platforms: Matlab

This file includes models based on examples from the textbook, System Dynamics, 2e written by William Palm III and published by McGraw-Hill. The models are built using Simscape and Simulink. A free set of curriculum materials is available (for instructors) that includes a set of lecture slides...


Platforms: Matlab

Orthogonal Linear Regression in 3D-space by using Principal Components AnalysisThis is a wrapper function to some pieces of the code from the Statistics Toolbox demo titled "Fitting an Orthogonal Regression Using Principal Components...


Platforms: Matlab

Kernel Regression ToolboxVersion 1.0 (R14) 01-Aug-2004General information. Comprises functions to carry out kernel regressions.General Functions: ykr - Higher order olynomial kernel regression ykr0 - 0-th order kernel regression wfunc - Exponential matrix theory kernal functions gfunc -...


Platforms: Matlab