Spss Regression Models

CurveFitter 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 you...

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...

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

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

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

Solve business and research problems using SPSS Statistics. Data analysis and data management package enables you to uncover key facts, patterns, and trends. You can use SPSS Statistics in a variety of areas, including: · Survey and market research and direct marketing · Academia and...


Platforms: Windows, Mac, Linux

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

The WCDMA Physical Layer Demo consists of an end-to-end (transmitter-to-receiver) simulation of the Frequency Division Duplex (FDD) Downlink physical layer for several Dedicated Channels (DCH) as specified by the 3GPP standard (Release 99).The current ZIP file includes three different models:...


Platforms: Matlab

This ZIP file contains functions that permits the path loss calculation, using one of the two models of COST231:- Hata model with COST231 extension to the working frequency;- COST231-Walfish/Ikegami model


Platforms: Matlab

This ZIP file contains function that provide simulation of the following models:- Free space loss calculation- Reflection quantization in generic surfaces for vertical and horizontal polarizations- Plane Earth loss calculations, and- Calculation of the Divergence factor in spherical Earth


Platforms: Matlab

This model simulates a CDMA2000 1xRTT Forward link (between Base Station and Mobile Station).In particular, it simulates the Radio Configuration 3 of a Forward Fundamental channel.The block CDMA2k: Initial settings allows you to set different parameters such as data rate, Power ControlSubChannel...


Platforms: Matlab

Hata and COST231-Hata Propagation Models. Two functions and two test scripts (with plots).


Platforms: Matlab

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

M-files for unimodality (or monotonically) constrained least squares regression.


Platforms: Matlab

This demo implements the Active Contour Models as proposed by Kass et al.To run it with GUI 1. Type guide on the matlab prompt. 2. Click on "Go to Existing GUI" 3. Select the snk.fig file in the same directory as this file 4. Click the green arrow at the top to launch the GUI Once the GUI has...


Platforms: Matlab

This is the package for online (competitive)/batch prediction using generalized linear models under square loss. The algorithms are derived using the Aggregating Algorithm.The algorithms have guarantees on the cumulative square loss for the worst case when applied in online fashion in comparison...


Platforms: Matlab

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 =...


Platforms: Matlab

Several functions for evaluating the exact negative log-likelihood of ARMA models in O(n) time using the Kalman Filter.


Platforms: Matlab