Forecating Of Linear Regression Method In Spss

IMPLEMENTATION OF GAUSS SEIDEL METHOD IN MATLAB used in the load flow problem

Generalized linear models (GLMs) are a natural extension of linear regression models in which eta = X*w is related to y by a fixed nonlinearity and a possibly non-Gaussian noise source. Standard linear regression, logistic regression and Poisson regression are all special types of GLMs.This...

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

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

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

Matlab, Maple and C/C++ applications of Linear Algebra in many domains, including curves in many dimensions, Cryptography and Chaos etc.


Platforms: Windows, Mac, BSD, Linux

This book is written for computational scientists who would like to incorporate state-of-the-art computational methods for solving large sparse systems of linear equations.For a full book description and ordering information, please visithttp://www.mathworks.com/support/books/boo...=-1&language=-1


Platforms: Matlab

Script for the multiplication of linear expressions without coefficient constants. This script returns a polynomial of given expressions.The number of expressions are not restricted and constant may be real or integer.ExampleCompute the (x-2)(x+4)(x-5)...write in following format. here x is a Row...


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

This code implements the 1D polynomial regression method. It uses the least square method for the finding of regression polynomial coefficents. Outputs of the script are polynomial regression coefficients, residuals, the sum of squared errors, the determination index and the graphical comparison...


Platforms: Matlab

parseSize - a function to aid OOP overloading of the size() method in user-defined classes. If the user provides the vector of dimensions of a hypothetical array object, parseSize will take care of the main input/output argument processing in a way that imitates the conventions of MATLAB's usual...


Platforms: Matlab

Once in a while it becomes necessary to globally change the behaviour of classes in a third party library. This code demonstrates the ability to modify the __init__ method of an arbitrary class in-place. It's also good for making functional programmers wince, which can be entertaining.


Platforms: Windows, Mac, *nix, Python, BSD Solaris

We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of:- linear regression model- nonlinear regression model- fitting data in 3D space- identification of...


Platforms: Matlab

ORTHLLS2D returns the Orthogonal Linear Least Squares estimate for parameters of line a x + b y + c = 0function f = OrthLLS2D(x, y)Inputs x and y must be real vectors of equal size.Output f is the real vector [a b c] where a, b and c are the estimated parameters of the linear equation.Since a...


Platforms: Matlab

DBIx::Wrapper::Config Perl module allows the use of a configuration file in XML specifying information required to connect to databases using DBIx::Wrapper. This way, your database connection specifications can be kept in one place. Each "db" element specifies a key/name for the database...


Platforms: *nix

The Mahalanobis distance between a pattern measurement vector of dimensionality D and the center of the class it belongs to is distributed as a chi^2 with D degrees of freedom, when an infinite training set is used. However, the distribution of Mahalanobis distance becomes either Fisher or Beta...


Platforms: Matlab

QSapecNG is a Qt-based program for symbolic analysis of linear analog circuits. In fact, it consists of two indipendent parts: the SapecNG framework engine and the application gui QSapecNG. It is an open source, multi-platform project, continuously enhanced by students and researchers of...


Platforms: Windows

QSapecNG is a Qt-based program for symbolic analysis of linear analog circuits. In fact, it consists of two indipendent parts: the SapecNG framework engine and the application gui QSapecNG. It is an open source, multi-platform project, continuously enhanced by students and researchers of...


Platforms: Linux

CurveFitter program 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...


Platforms: Windows, Other

This set of simulations make use of the Alternating Direction Implicit method for solving the parabolic wave equation that arises in FD BPM.The zip file includes the following programs:FDBPM3D_free_space.m - Animation and video of the 3D propagation.FDBPM3D_free_space_slice.m - It shows slices of...


Platforms: Matlab