Mortgage Estimates

The ADMB (Automatic Differentiation Model Builder) software suite is an environment for non-linear statistical modeling enabling rapid model development, numerical stability, fast and efficient computation, and high accuracy parameter estimates. ADModel Builder is a high level language built...

The ADMB (Automatic Differentiation Model Builder) software suite is an environment for non-linear statistical modeling enabling rapid model development, numerical stability, fast and efficient computation, and high accuracy parameter estimates. ADModel Builder is a high level language built...

The ADMB (Automatic Differentiation Model Builder) software suite is an environment for non-linear statistical modeling enabling rapid model development, numerical stability, fast and efficient computation, and high accuracy parameter estimates. ADModel Builder is a high level language built...


Platforms: Windows

The ADMB (Automatic Differentiation Model Builder) software suite is an environment for non-linear statistical modeling enabling rapid model development, numerical stability, fast and efficient computation, and high accuracy parameter estimates. ADModel Builder is a high level language built...


Platforms: Windows

MCS is a tool that exploits the Monte Carlo method and, with a complex algorithm based on the PERT (Program Evaluation and Review Technique), it estimates a project's time. MCS is a opensource project and it was devolped by Java Programming Language.


Platforms: Windows, Mac, Linux

The RDP Classifier is a naive Bayesian classifier that can rapidly and accurately provides taxonomic assignments from domain to genus, with confidence estimates for each assignment. More information can be found at http://rdp.cme.msu.edu/.


Platforms: Windows, Mac, Solaris, Linux

A GUI application which estimates toxic hazard of chemical compounds. The latest version includes the following toxicity prediction modules: -Cramer rules (oral toxicity) -Toxicity mode of action via Verhaar scheme -Skin irritation prediction -Eye irritation prediction -Benigni / Bossa...


Platforms: Windows, Mac, Linux

Places an update button in the estimate box rather than text to refresh the page with the estimates showing. Removed the weight listing at the top in case you use a package tare weight which would cause 2 different weights to show in the same estimate. Removed the warning for if you are not...


Platforms: Windows, *nix, PHP, BSD

The MUSIC algorithm, proposed by Schmidt, first estimates a basis for the noise subspace and then determines the peaks the associated angles provide the DOA estimates.The MATLAB code for the MUSIC algorithm is sampled by creating an array of steering vectors corresponding to the angles in the...


Platforms: Matlab

ALAMOUTI performs Monte-Carlo simulation and estimates Bit Error Rate (BER) of Alamouti Scheme [1] over Rayleigh channel. The scheme presumes 2 transmit (Tx) and arbitrary number of receive (Rx) elements. If Rx=1 (one receive element) the ALAMOUTI is transformed to the order 2 transmit diversity...


Platforms: Matlab

A collection of utilities for computing the impact propagation disturbances on satellite radio transmissions. Applications include frequency and temporal coherence estimates and examples that use waveform simulations. Models for common fading distributions and waveform detection probabilities in...


Platforms: Matlab

RiskMetrics.m: Estimates the univariate or multivariate RiskMetrics. USAGE: rm = RiskMetrics(data,alpha) INPUTS: data = ( m x n ) vector lamba = the scale parameter method = Univariate or Multivariate OUTPUTS: rm = ( m x n ) volatility vector for the univariate case or an [( n x n )x m]...


Platforms: Matlab

The Extended GARCH Toolbox estimates a variety of GARCH models with different distributions and for any order of ARCH (p) and GARCH (q) effects.The supported models are:GARCH: Bollerslev (1986)GJR-GARCH: Glosten et al. (1993) EGARCH: Nelson (1991) NARCH: Nonlinear ARCH: Engle and Bollerslev...


Platforms: Matlab

It estimates the Newton Raphson optimization procedure for (m) unknowns of (n) non-linear equations. In case no Jacobian vector is presented, then the initial Jacobian vector is estimated by Broyden Method (multivariate secant approach) and it is then updated using the Sherman Morrison...


Platforms: Matlab

The CMVE toolbox estimates missing values by using correlation structure of the data. The software can be used to impute missing values in any correlated data especally microarray gene expression data. The imputation performance of the software has proven significant affect on gene regulatory...


Platforms: Matlab

This program estimates the background (or baseline) of optical spectra by the polynomial minimizing a cost function. If the cost function was quadratic, the solution is the least squares estimation, which is not appropriate in this problem. Instead, we need to use of non-quadratic cost function...


Platforms: Matlab

This function segments (clusters) an image into object classes, and estimates and corrects for slow varying illumination artifacts. Estimates and corrects for bias field in 3D MRI, streak artifacts in CT, and illumination artifacts in color photos.It's an implementation of the paper of M.N. Ahmed...


Platforms: Matlab

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

This collection of m-files will only get you through the very bear necessities (Look for the ...) of a single-run fMRI-analysis. Its actual aim is to illustrate the efficacy of spatial regularisation of the autocorrelation esimate in the framework of prewhitening the data to correct for serial...


Platforms: Matlab

3 .m files, 1) simulates a term structure using the vasicek model, 2-3) take this simulation and estimates the parameters of the model.If the implementation is good, the inputs should equal the outputs, run this 200 times.For details...


Platforms: Matlab