Estimation

[MU, SIGMA, D] = TRUNCLOGNORMEST(DATA) returns the estimated parameters of the lognormal distribution, with unknown left truncation, using the sample data of percent of observations greater than observed quantities.DATA is assumed to be nx2 where the first column is a set of known values, and the...

In Evolutionary Multiobjective Optimization (EMO), an algorithm produces a set of points in the performance space as an estimation of the Pareto front. A quantitive measure is desired to estimate the closeness of the estimated data points to the true Pareto front.One of such measures is the...

The Kalman filter can be interpreted as a feedback approach to minimize the least equare error. It can be applied to solve a nonlinear least square optimization problem. This function provides a way using the unscented Kalman filter to solve nonlinear least square optimization problems. Three...


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

This package includes a number of methods of determining the delay between two period signals. The delay may be calculated to subsample accuracy. Methods include: three-point interpolation using parabolic, Gaussian, or cosine functions; a phase method; and an iterative method.A simple example is...


Platforms: Matlab

These MATLAB files serve as a graphical user interface for using the APMonitor moving horizon estimation (MHE) feature. The APMonitor executable and example files must be requested online as follows: http://apmonitor.com/contactus.aspx .This submission includes an MHE example using the Van de...


Platforms: Matlab

The purpose of this program is to simulate the permeation time lag in a polymer hollow fiber membrane with a dual mode sorption isotherm and the partially immobilized diffusion model.The program plot the 3D time lag with two models:1) concentration gradient as the driving force for diffusion2)...


Platforms: Matlab

This function was developed for nonparametric estimation problems where the estimate must satisfy some shape constraint. Our standard example of this is using a kernel density estimator, with the constraint that the estimate can have only one mode.Let x be the observed data, and confun(x,...) be...


Platforms: Matlab

Calculate minimum of single variable function using 3-point searchUsage:estimated_min=three_point(sfun,a,b,tolerance) sfun: Symbolic/String function a: Inferior Limit b: Superior Limit tolerance: Tolerance Range


Platforms: Matlab

The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements but also can be used to estimate parameters of a nonlinear system. A direct application of parameter estimation is to train artificial neural networks. This function and an embeded example...


Platforms: Matlab

To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight in BayesPI, namely Laplace prior and Cauchy prior, by using the evidence approximation method. In addition, we divided...


Platforms: Matlab

SEMPHY is a tool for data-intensive phylogenetic reconstruction. SEMPHY infers phylogenies by Maximum Likelihood, the most established criterion for finding the correct phylogenetic tree. SEMPHY searches for both the most likely topology of the evolutionary tree, and the optimal lengths of its...


Platforms: Mac

DynaMo (Dynamic Models) is a package for simulation, estimation, inference, regularization and prediction of time series models, with a special focus on the families of models used in Financial Econometrics.


Platforms: *nix

Oree - Optimum Real-time Estimation of Events of Interaction: real-time reconstruction of photon interaction events in Gamma Cameras. Optionally making use of a CUDA enable GPU, Oree achieves reconstruction of over 1M events/sec. Features . Maximum Likelihood Estimation of Interaction...


Platforms: *nix

Statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation of statistical models. Main Features regression: Generalized least squares (including weighted least squares and least squares with autoregressive...


Platforms: *nix

ECsPy (Evolutionary Computations in Python) is a free, open source framework for creating evolutionary computations in Python. Additionally, ECsPy provides an easy-to-use canonical genetic algorithm (GA), evolution strategy (ES), estimation of distribution algorithm (EDA), differential evolution...


Platforms: *nix

The PWA toolbox is a Matlab Toolbox for the definition and the circuit implementation of Piecewise-Affine (PWA) functions. It can be used to define and synthesize PWA solution of Model Predictive Control, state estimation and PWA approximation.


Platforms: *nix

Play this free game to unleash your marketing abilities. Here you find a possibility to reveal all your logic and capacity for analytical estimation. You may take it as a possibility to train yourself before entering the world of commerce - create and expand finance corporations, sell and buy...


Platforms: Windows

Easy and small application (1.6MB when installed) for free video communication via Internet on any broadband or even dial-up. Easy and convenient interface which doesn’t require special skills and knowledge. It has call history book, full user information with photo, address book, alternative...


Platforms: Windows

ICT Printing Press is product for offset Printing Press. It simply takes few related parameters of customer's order as input and present total estimation of project, most economical job size, machine, paper stock cutting plan for sheet or reel.


Platforms: Windows, Windows CE