Uncertainty Parameter

LinStats is a collection of classes, functions and data that are useful for representing, solving and analyzing linear statistical models. LinStats has been updated to use a new object based approach to support incremental model-building and more sophisticated analysis.Notably this is the first... Platforms: Matlab

Spread your http get parameters on all your links!This plugin will automatically take care of "spreading" a parameter on all the links URL inside a WP or WP MU blog. It will add the given parameter at the end of any link URL inside the site.It will also add the parameter as a hidden field to any... Platforms: PHP

Flattens arbitrarily nested loops into a single loop that iterates over all combinations of loop parameters.Makes it very easy to change the iteration parameters without rewriting loops, reindenting code, updating indices, etc.Very convenient for simulation problems where the parameters being... Platforms: Matlab

Google PageRank is one of the web ranking important parameters. It shows how important the page is. With The PaRaMeter you can quickly check the PageRank of all your sites with just a single click, you don't need to open them in your browser one by one anymore. It also doesn't require... Platforms: Windows

Class::ParmList is a Perl module with methods for processing named parameter lists. SYNOPSIS use Class::ParmList qw(simple_parms parse_parms); $thingy->some_method({ -bgcolor => #ff0000, -textcolor => #000000 }); sub some_method { my ($self) = shift; my ($parm_ref) = @_; my $parms... Platforms: *nix

Uncertainty brings unix fortunes to your dashboard. View fortunes, jokes, quotes, facts and many other things right from your dashboard. Platforms: Mac

The software system solves constrained nonlinear parameter estimation problems. Synonyms are data fitting, nonlinear regression, parameter identification, curve and surface fitting. A statistical analysis provides confidence intervals, correlation and covariance matrices, identification of... Platforms: Windows

GeMPS is a small, simple, handy application specially designed to offer you a GUI that simplifies the generation of combined parameter sets. Writing parameter sets for mutant models coded in BlenX is a tedious procedure that involves the mechanical (and error-prone) process of dealing with... Platforms: Windows

pyuds was specially designed as a Python library that can measure uncertainty the in Dempster-Shafer theory of evidence. The functionals supported are Generalized Hartley (GH) uncertainty functional, Generalized Shannon (GS) uncertainty functional, and Aggregate Uncertainty (AU) functional.... Platforms: Windows

The QMSys GUM program is used to analyze the uncertainty of physical measurements and calibrations. The analysis and computations follow the rules of the of the official documentations: - ISO Guide to the expression of uncertainty in measurement - EA-4/02 Expression of the Uncertainty of... Platforms: Windows, Other

Tests executed in different environments often rely on environment-specific static properties. EZPZ enables ths use of parameter-driven XML files to provide these properties, and provides hooks for you to generate non-static properties. Platforms: Windows, Mac, Linux

This script automates the creation and lookup of objects passed from and to xmlrpc server methods so that incoming calls arguments are automatically replaced by their respective objects, and returned objects get mapped and their ids returned. Platforms: Windows, Mac, *nix, Python, BSD Solaris

This script assigns each parameter to an instance variable of the same name, automating a common pattern of object initialization, and making class definitions more compact. Platforms: Windows, Mac, *nix, Python, BSD Solaris

Useful for the RF designer, it manipulates the various complex representations of the circuits as multiports, namely transformation from one representation to another and reading/writing to file in industry-standard formatit contains stuff written/revised between 1993 and 2003, therefore a quite... Platforms: Matlab

MATLAB is a software environment and programming language with over 1,000,000 users and is used to generate arbitrary and standard waveforms, configure and control instruments, build automated test applications, and analyze and visualize data from other instruments. MATLAB only supports... Platforms: Matlab

This script provides the final interval of uncertainty in which the minima of single variable non linear/linear function. The function should be unimodal in the interval. The script checks the unimodality of the function.User inputs the initial interval and the number of iterations. depending... Platforms: Matlab

This book starts with a review of parameter optimization and then treats dynamic optimization, first with fixed final time and no constraints, next with terminal contraints, and finally with terminal constraints and open final time. This is followed by chapters on linear-quadratic problems and... Platforms: Matlab

The parameters are:Ball RadiusColourGravityInitial Y VelocityInitial X VelocityVertical Speed Conservation (after hitting the ground)Horizontal Speed Conservation (after hitting the ground)By using different values for each parameter, the ball's motion changes each time Platforms: Matlab

Given a continuous-time system with parameters, can we find the range (or intervals) of the parameters where the system is stable?When the system model is written with the Laplacian transform, the question is equivalent to finding all the roots of a parameterized polynomial where the real parts... Platforms: Matlab

Similar to using the extended Kalman filter, Neural Networks can also be trained through parameter estimation using the unscented Kalman filter. This file provides a function for this purpose. It also includes an example to show how to use this function. It requires the unscented Kalman filter,... Platforms: Matlab