Spss Regression Models

This programme estimates the parameters in nonlinear mixed effects growth/degradation models by means of ML estimation. S-plus uses this same function that was established by J. Pinheiro & D. Bates.

bgam - Boosted Generalized Additive Models package---Implements boosting for the Generalized Additive and Linear Models (GAM and GLM).Extensible, fully documented. Implements linear and stub learners,least-squares/logistic/Poisson regression.The generalized linear model (GLM) is a flexible...

Example code to accompany the "New Regression Capabilities" presentationExample code illustrating the use of the following Statistics Toolbox functionsLinearModelNonLinearModelGeneralizedLinearModel


Platforms: Matlab

django-typed-models provides an extra type of model inheritance for django. The concrete type of each object is stored in the database, and when the object is retrieved it is automatically cast to the correct concrete type. These are basically proxy models, but with a known type. Features ....


Platforms: *nix

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

XLSTAT is a complete analysis and statistics add-in for Excel. It has been developed since 1993. XLSTAT includes more than 240 features in general or field-specific solutions. The use of Excel as an interface makes XLSTAT a user-friendly and highly efficient statistical and multivariate data...


Platforms: Windows, Windows 8, Windows 7, Windows Server

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 been...


Platforms: Windows

Performs linear regression using the Least Squares method. Determines the regression coefficients, the generalized correlation coefficient and the standard error of estimate. Does multivariate regression. Displays 2D and 3D plots.


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

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...


Platforms: Windows

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

Models! is a flexible diagramming tool. It doesn’t force you to follow strict, often useless rules for creating your models. Instead, it focuses on providing simplicity and beauty to the software design activity. Models features post-it notes, grids and alignment tools, coloring, formatting and...


Platforms: Mac

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