Estimates

Estimates the statistical power of an analysis of variance Model II (random-effects) after it has been performed. It requires the observed F-statistic value, numerator degrees of freedom, denominator degrees of freedom and significance level.

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...

CXCOV Circular Cross Covariance function estimates.CXCOV(a,b), where a and b represent samples taken over time interval T, which is assumed to be a common period of two corresponding periodic signals.a and b are supposed to be length M row vectors, either real or complex. [x,c]=CXCOV(a,b) returns...


Platforms: Matlab

Estimates of proportion and rate-based performance measures may involve discrete distributions, small sample sizes, and extreme outcomes. Common methods for uncertainty characterization have limited accuracy in these circumstances. Accurate confidence interval estimators for proportions, rates,...


Platforms: Matlab

This file estimates the a priori statistical power of a single-factor Multivariate Analysis of Variance (MANOVA).The MATLAB macro needs to Input the R2-alternate-hypothetical population proportion of variance of the source-proportion of residual variance (error) ratio [PVs/PVe], p-number of...


Platforms: Matlab

Estimates the complete table of the two level nested analysis of variance for a design with equal or unequal sample sizes (it is referred to the levels of nested factor). Please, first see the README.txt file. Main file only needs the X data matrix and indicating whether it is with equal or...


Platforms: Matlab

This function estimates the remaining and the total time of a for loop. The only arguments are the current and the last index(-ices) index of the for loop. When having multiple loops, it calculates the final estimate using the current inner loop timings. Therefore, in multiple loops it's indeed...


Platforms: Matlab

This toolbox estimates the following volatility loss functions:1. Mean Square Error, MSE2. Mean Absolute Deviation, MAD3. Mean Logarithm of Absolute Errors, MLAE4. Heteroskedasticity-adjusted Mean Square Error, HMSE5. Heteroskedasticity-adjusted Mean Absolute Error, HMAE6. Median Absolute Error,...


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

The program estimates a given number of intersection values, amongst which the start point of the following iteration can be chosen. These values are found graphically, and after each ended iteration the found intersection value is plotted with a cross together with the iterated function. This...


Platforms: Matlab

Estimates the noise standard deviation from an (MRI) image (2D) corrupted with Rician noise based on the skewness of the distribution. This method doesn't depend on the background for noise estimation. Can be used for MR images with and without background.Ref: Jeny Rajan, Dirk Poot, Jaber Juntu...


Platforms: Matlab

This function estimates the solution to Kummer's differential equation within a specified tolerance. Kummer's differential equation is given by: x*g''(x) + (b - x)*g'(x) - a*g(x) = 0The code executes a while loop to calculate the generalized hypergeometric series within a specified...


Platforms: Matlab

Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both...


Platforms: Matlab

% Usage window=papouliswin(SIZE of WINDOW);% The variance of the resulting estimate is smaller than that obtained% with the known windows of the same size.% Details of the property of the window can be found in% A. Papoulis, d-deDUMinimum-bias windows for high-resolution spectral es-%...


Platforms: Matlab

This function estimates and plots a wavelet-based magnitude-squared (MS) coherence between two time series and both sampled at the same sampling rate.The function was designed for biological time series (EEG etc.) analysis. However, it can be applied to other stochastic time series.


Platforms: Matlab

This program estimates the failure probability of a superficial square footing on stiff consistency plastic soil; using two failure criteria, bearing capacity and maximum settlement.


Platforms: Matlab

Computes the autocovariance of two columns vectors consistently with the var and cov functions.autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2.The resulting autocovariance column vector acv is given...


Platforms: Matlab

This software is documented in the Journal of Structural Geology article:"Fold Geometry Toolbox - Automated determination of fold shape, shortening, and material properties"by Marta Adamuszek, Daniel Walter Schmid, and Marcin Dabrowski. FGT is a program to analyze fold geometry in 2D. This...


Platforms: Matlab

Goldenseal is small business software for Macintosh and Windows computers. It uses "real world" accounting concepts, so it is easy to learn and easy to use. Goldenseal is designed for any small business that needs to track expenses, create cost estimates or manage projects. All of the...


Platforms: Mac

The STP Widom Insertion Method program estimates the chemical potential of a Lennard-Jones fluid using the Widom insertion method. The default system is a box with linear dimension L = 20 with N =100 particles at a temperature T = 1.0. STP WidomInsertionMethod is part of a suite of Open Source...


Platforms: Mac