Statistical Sampling Methods

Graphical user interface driven first-order multivariate calibration using up-to-date methods, including PCR, PLS, net analyte methods and ortoghonal signal correction. Provides a variety of pre-processing tools, cross-validation plots, prediction plots, elliptical joint region plots, net analyte...

% This function can be used to evaluate objectively the performance of binarization methods for document image.%% May 17th, 2010, By Reza Farrahi Moghaddam, Synchromedia Lab, ETS,% Montreal, Canada%% The implemented measures are as follows [1]:% Precision% Recall% Fmeasure (used as one of the...

Disclosed are methods to compute the precise value of the logarithm of a sum and the logarithm of a subtraction.A number of practical problems can result in having too big or small values in intermediate values of a calculation. Then one tries to take logarithm of these values and operate on...


Platforms: Matlab

This is sampling utility implementing Latin hypercube sampling from multivariate normal, uniform & empirical distribution. Correlation among variables can be sprecified.


Platforms: Matlab

It generates a stochastic field on a squared space. Samples are created by Latin hypercube sampling and the spatial correlation is performed by an algorithm based on Cholesky decomposition. Example inside.


Platforms: Matlab

See paper "Minimum settling time control design through direct search methods" (preprint on http://arxiv.org/abs/1109.5966) by the same author.The settling time of a closed-loop response, depending on controller parameters, is an objective function not only non-smooth but actually discontinuous....


Platforms: Matlab

Active contour methods for image segmentation allow a contour to deform iteratively to partition an image into regions. Active contours are often implemented with level set methods because of their power and versatility. The primary drawback of level set methods is that they are slow to compute....


Platforms: Matlab

Particle filter resampling Author: Jose Luis Blanco Web: http://www.isa.uma.es/jlblanco-------------------------------------------This MATLAB toolkit contains functions and scripts demonstrating four different approaches to resampling:- Multinomial- Residual- Stratified- Systematic (universal...


Platforms: Matlab

Monte Carlo methods have long been used in computational finance to solve problems where analytical solutions are not feasible or are difficult to formulate. However, these methods are computationally intensive making it challenging to implement and adopt. In the last decade, advances in...


Platforms: Matlab

Comparison analysis of numerical intergration methods, viz. trapezoid, Composite trapezoid, Simpson's Rule, Composite Simpson's rule, Mid-point Rule, Composite Mid-point Rule (scripts of all) taken from author's (Sulaymon L Eshkabilov) other submitted function files with above listed numeric...


Platforms: Matlab

Efficient and accurate computation of free baroclinic coastal-trapped waves, using pseudospectral methods, over general depth profiles for arbitrary vertical density profiles in horizontally semi-infinite domains.The methods are described in full in the accompanying paper:E.R. Johnson, J.T....


Platforms: Matlab

This program simulates a nonlinear dynamical system and estimates the hidden state using particle methods.The program compares the performance of 3 particle methods (particle filter, forward backward smoother (FBS),and Maximum A-Posterior Smoother (MAP).It computes the likelihood and MSE of each...


Platforms: Matlab

This file performs the Fisher exact probability test for a table of frequency data cross-classified according to two categorical variables, each of which has two levels or subcategories (2x2). It is a non-parametric statistical test used to determine if there are nonrandom associations between...


Platforms: Matlab

Implementations of the Hit-And-Run and Gibbs sampling algorithms for the generation of uniformly distributed random vector x satisfying the system of linear inequalities A.x


Platforms: Matlab

Two vein extraction methods as described by Miura et al. for finger vein authentication.Maximum curvature:This method will try to extract the centre lines of the veins. This is done by calculating local maximum curvatures in cross-sectional profiles of a vein image. The method is supposed to be...


Platforms: Matlab

Code computes Time domain and frequency domain plot of input signal,Pam Signal, Recovered Signal. Code also Computes Distortion%%%%%% PSD Of PAM Signal is stored in an array Power_PAM that has powers of PAM signal stored in [Pfm Pfs-fm pfs+fm .........] with units watts. Power_PAM_dbw stores PSD...


Platforms: Matlab

The program does interpolation or decimation on a given 1-d data in an array.Given X with sampling rate Ft Hz and is used to generate another sequence Y with sampling rate Ft' Hz, then Sampling Rate ratio R is given by, Ft' R = ---- Ft if R > 1, sampling process is known as interpolationR < 1,...


Platforms: Matlab

The probabilistic logic sampling algorithm is described in (Henrion 1988). Here is the website: http://genie.sis.pitt.edu/wiki/Stochastic_Sampling_Algorithms:_Probabilistic_Logic_SamplingAbout the theory under PLS, please refer toMax Henrion: Practical issues in constructing a Bayes belief...


Platforms: Matlab

Stego PNG is a steganography program which allows you to encrypt and hide a data file in a PNG or BMP image file so that the addition of the data to the container file will not noticeably change the appearance of the image. If the file which has been hidden is deleted then there is no indication...


Platforms: Windows, Windows 7, Windows Server

This is an OSX dashboard widget that enables quick calculation of data needed to assess statistical significance: 1. The margin of error for a specific result for a specific sample size. For example if you surveyed 100 people out of a total population of 100,000 and 85% said they did like...


Platforms: Mac