Spss Regression Models

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

This ZIP file contains 5 Simulink models that were used in the July 2004 MATLAB Digest article "Recommendations for Creating Accurate Linearized Models in Simulink". These models highlight several modeling methodologies that can cause problems with linearization. They are intended to be used with... Platforms: Matlab

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

models is a framework for mapping Python classes to semi-structured data. It is not an ORM because it does not map relational data to Python objects. Instead it helps to define a valuable subset of data in a key/value storage or a document-oriented database and allows to work with only certain... Platforms: *nix

Critical Business Management Models Software Strategy Development Framework Model, Strategic Management, MBA models and frameworks, business, Management Models Software Strategy Development Framework Model, Strategic Management, MBA models and frameworks, business, Management Models Software... Platforms: Windows

StatsEasy Regression allows you to compute linear equation from simple regression, you get the equation with slope and intercept, it draws the line graph and scatter diagram. Platforms: Any Browser + Java

MODELbuilder is a scientific application that provides a graphical way to derive models from empirical and simulation data. MODELbuilder is fit to do regression and regression analysis. Whats New in This Release: - This release has a new project file format, data editor, and data import... Platforms: *nix

DMFitter ActiveX control allows you to add sophisticated regression analysis tools to your software in a few lines of code. Features include: both linear and nonlinear (Levenberg-Marquardt) least squares curve fitting algorithms, arbitrary user models (defined analytically or by string... Platforms: Windows

Enhanced Content Models add new features to the Fedora 3.0 content models.. A more elaborate specification of the data objects. The repository view system. The object creation templates, for creating new objects Platforms: Windows, Mac, Linux

A MATLAB toolbox for time series analysis using state space models. Supports fully interactive model construction with MATLAB objects and efficient Kalman filter backend implemented in c. Platforms: Windows, Mac, Linux

This file contains a set of 3D models with the following characteristics: p: nx3 array of 3D points t: ntx3 array of triangles id. First points flagged as 1. tnorm: ntx3 arrays normals of triangles with outward orientation.You can use this package to test your algorithms.Models can be dowloaded... Platforms: Matlab

The Gaussian Kernel can be changed to any desired kernel. However such a change will not dramatically improve results. This is a variant of ridge regression using the kernel trick (Mercers Theorem). Platforms: Matlab

Hidden Markov models are used to describe the "stepping" behavior of molecular motors, as measured by single-molecule fluorescence techniques. Our HMM implementation is more versatile than the one described by Milescu, et al. Biophys. J. 91:3135-3150 and can be used as a "blind" step detector or... Platforms: Matlab

The attached script and document help you to remove any Release 11 DSP Blockset blocks from your SimulinkdlT« models. The R11 libraries containing these blocks will no longer be shipped with Signal Processing Blocksetd-OC?D? starting with Release 2007a. If you plan to continue using these... Platforms: Matlab

- 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... Platforms: Matlab

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).... 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

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