Cox Regression

This is the local linear version of the kernel smoothing regression function: http://www.mathworks.com/matlabcentral/fil...objectType=FILEThe local linear estimator improves the regression behaviour near the edges of the region over which the data have been collected.

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...

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

Kernel regression is a power full tool for smoothing, image and signal processing, etc. However, it is computationally expensive when it is extented for multivariant cases. The efficiency can be improved by only using neighbors within the effective range arond a regression point. To improve the...


Platforms: Matlab

Functions for fitting least suqares regression problems under nonnegativity constraints. Optimized version of the Lawson & Hanson approach


Platforms: Matlab

Plot data in a figure, and then interactively choose regression area. The result from polyfit is returned.Example:x=1:1:10;y=sin(x);f=figure; plot( x,y );[p,h] = figreg( f, 2 );%fit a second order polynom to selected region in plot


Platforms: Matlab

The main advantages of the Hausdorff regression are that one should not specify the direction of the errors (vertical, horizontal, orthogonal ... with the ordinary least squares) and that it is less sensitive with respect to the square of the distance.This is the original idea. Any contribution...


Platforms: Matlab

Gaussian kernel regression and local linear Gaussian kernel regression with variable window widthThis is the same as ksr and ksrlin (file File ID: #19195 and #19564), but instead of using the same bandwidth for each point, it uses a variable bandwidth given by the distance of each point to its...


Platforms: Matlab

The model relies on the theory of strength of least square curve fitting and auto regression techniques.


Platforms: Matlab

Powerful but easy-to-use graphing, curve fitting and calculating software. Graphs Cartesian (Y(x) and X(y)), polar and parametric functions, graphs of tables, equations (implicit functions), inequalities and slope fields. Up to 100 graphs in one window. Calculus features: regression analysis,...


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 LAB Fit is a software for Windows developed for treatment and analysis of experimental data. At LABFit program you are able to: 1) Treat similar data; 2) Treat non-similar data; 3) Determine propagated error; 4) Plot 2D and 3D graph; 5) Execute math calculations (system of equations, roots of...


Platforms: Windows, Windows CE

vTest is a web automated testing tool for the regression & functional testing of web apps. It incorporates record, verify, playback and reporting capabilities. vTest supports automated testing using both Microsoft Internet Explorer and Mozilla Firefox. All popular Internet technologies such as...


Platforms: Windows

The Unscrambler® is the complete multivariate analysis and experimental design software, equipped with powerful methods including Principal Component Analysis (PCA), Multivariate Curve Resolution (MCR), Partial Least Squares Regression (PLS-R), 3-Way PLS Regression, K-Means Clustering and SIMCA...


Platforms: Windows

Test Script Runner is a software platform designed to provide a script based mechanism for Automatic Regression Testing. The software provides a scripting language which allows the user to expand the capabilities via plug-in testing modules. A number of plug-in modules are provided with...


Platforms: Windows

Zeta Test is an integrated test management environment that enables you to perform black-box tests, white-box tests, regression tests or change management tests of software applications. Zeta Test helps you to plan, perform, log, monitor and document the tests, and then to evaluate the test...


Platforms: Windows

HTTPD::Bench::ApacheBench is a Perl API for Apache benchmarking and regression testing. SYNOPSIS use HTTPD::Bench::ApacheBench; my $b = HTTPD::Bench::ApacheBench->new; # global configuration $b->concurrency(5); $b->priority("run_priority"); # add HTTP request sequences (aka: runs) my...


Platforms: *nix

phpautotest is a tool for conducting automated regression tests on PHP-driven Web sites. Variable values as well as HTTP output can be tested. HTTP output is tested using regular expressions.. Get phpautotest at SourceForge.net. Fast, secure and free downloads from the largest Open Source...


Platforms: *nix

SIEGE is an http regression testing and benchmarking utility. It was designed to let web developers measure the performance of their code under duress, to see how it will stand up to load on the internet. Siege project lets the user hit a webserver with a configurable number of concurrent...


Platforms: *nix

CGI::Test is a CGI regression test framework. SYNOPSIS # In some t/script.t regression test, for instance use CGI::Test; # exports ok() my $ct = CGI::Test->new( -base_url => "http://some.server:1234/cgi-bin", -cgi_dir => "/path/to/cgi-bin", ); my $page =...


Platforms: *nix