Parametric

ProgeBILLD Architectural is a powerful Architectural application - running on core CAD software - To easily draw walls, parametric windows, doors and more. Support for complex wall structures. Full library of room furnishings (tables chairs etc), kitchen and bath fittings (basins, etc). Specify... Platforms: Windows

homepage Parametric Modeling ?3D: Sphere, Box, Cylinder, Cone ?2D: Line, Rectangle, Arc, Arch, Circle, Spline, Polygon ?Feature: Extrude, Loft, Chamfer, Sweep, Revol ?Boolean: Common, Cut, Fuse ?Inserte Images: JPG, PNG, BMP, TIFF Visualization ?Display Mode: Wireframe, Shade, HLR ?3D Camera... Platforms: Windows

AWclust is easy to use non-parametric population structure analysis software written for R with a GUI interface. Just point and click and you will be on your way to discovering the important cluster information in your SNP data sets. Platforms: Windows, Mac, Linux

The C++ library Geneva allows to run large scale parametric optimization problems. It can run in serial or multi-threaded mode or in a networked environment. The library currently covers Evolutionary Strategies, Genetic Algorithms and mixed scenarios. Platforms: Mac, BSD, Linux

Library intended for construction, evaluation, manipulation and visualization of geometric objects, especially for parametric and implicit defined surfaces Platforms: Windows, Mac, BSD, Linux

Parametric analysis is often needed for exploring design options, especially when a global optimization method is not available, or the optimization result is in doubt. Parametric analysis can also be applied to all design variables simultaneously, which forms an exhaustive search that, providing... Platforms: Windows, Mac, BSD, Linux

A flexible tool for medical research in magnetic resonance imaging (MRI) to generate parametric images (maps) from multiple types of pulse sequences (IR-prepared, Look-Locker, and MOLLI T1 mapping; single- and multi-echo T2/ T2* mapping). Platforms: Windows, Mac, Linux

New object-oriented programming language based on Java, with the following advanced features: parametric types, anonymous functions, multi-methods, tuples, optional parameters.Nice also detects more errors during compilation (null pointers, casts). Platforms: Windows, Mac, Linux

The Mann-Kendall Tau-b non-parametric function computes a coefficient representing strength and direction of a trend for equally spaced data. While you do not need the Statistics Toolbox to compute Taub, you do need it to test for significance. This function will compute Tau-b (now tau-a as... Platforms: Windows, Mac, *nix, Matlab, Solaris

JustQueryIt is a php class that grows up adodb and let you able to separate sql queries and php code.It can also execute parametric queries in a really simple way.Now you can include in the simplest way you can imagine your data into your html pages. Platforms: PHP

4 bands use peaking filters,3 bandes can be choosen as peaking, sheleving, highpass or lowpass filters Platforms: Matlab

This package contains a set of functions for inferiential statisticsusing resampling methods. Data are organized into arrays so multiple tests can be run at once (up to one million test per second). The package supports bootstrap, permutation and parametric statistics using paired or unpaired... Platforms: Matlab

Accurate estimates of the autocorrelation function or the power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the given data. It is assumed that the ARMASA and the... Platforms: Matlab

The Oregonator model accurately describes the Belousov-Zhabotinsky (BZ) reaction. BZ reaction is an example of oscillating chemical reactions. The simulink file oregonator.mdl solves this classical problem. The values of the parameters used in the simulation give a limit cycle when we plot... Platforms: Matlab

There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and powerspectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The... Platforms: Matlab

Suppose that you have a signal Y (Y can be a time series, a parametric surface or a volumetric data series) corrupted by a Gaussian noise with unknown variance. It is often of interest to know more about this variance. EVAR(Y) thus returns an estimated variance of the additive noise.EVAR provides... Platforms: Matlab

In statistics, McNemar's test is a non-parametric method used on nominaldata to determine whether the row and column marginal frequencies are equal. It is named after Q. McNemar, who introduced it in 1947. It is applied to 2x2 contingency tables with a dichotomous trait with matched pairs of... Platforms: Matlab

This file execute the non parametric Wilcoxon test to evaluate the difference between paired (dependent) samples. If the number of difference is less than 15, the algorithm calculate the exact ranks distribution; else it uses a normal distribution approximation.Now, the MatLab function SIGNRANK... Platforms: Matlab

This file executes the non parametric Mann-Whitney-Wilcoxon test to evaluate the difference between unpaired samples. If the number of combinations is less than 20000, the algorithm calculate the exact ranks distribution; else it uses a normal distribution approximation. The result is not... Platforms: Matlab

H = COCHRANQTEST(X) performs the non-parametric Cochran's Q-test on the hypothesis that the K columns of N-by-K matrix have the same number of successes and failures. H==0 indicates that the null hypothesis cannot be rejected at the 5 significance level. H==1 indicates that the null hypothesis... Platforms: Matlab