Huntsville Roofing Estimates

- Simulates MRI data according to the forward model in the presence of field inhomogeneity- Map MRI data to the harmonic retrieval data- Solve harmonic retrieval problem to obtain the estimates for the image, field map, and T2* map- Display output and compute the corresponding errors compared to...

Estimates the power and the hypothesis testing for difference between two variances. The one or two-tailed hypothesis is submitted to the variance ratio test, that automatically it places the larger variance in the numerator and the smaller in the denominator. File asks for the statistical...

3 .m files, 1) simulates a term structure using the CIR model, 2-3) take this simulation and estimates the parameters of the model.also includes a set of results, take mean() and std() of this to see how good the filter is.If the implementation is good, the inputs should equal the outputs, run...


Platforms: Matlab

XI = findX(X,Y,YI) estimates the XI values at which the dependentvariables Y reach or cross a specified target level YI (scalar value). If there are multiple solutions, findX finds all of them. It may be seen as the "inverse" operation of the MATLAB's functionINTERP1, under 'linear' method.X is a...


Platforms: Matlab

Estimates the sum of an alternating series. Three linear methods for convergence acceleration are implemented.EXAMPLES:% log(2) = 1 - 1/2 + 1/3 - 1/4 + ...altsum(1./(1:20))ans = 0.693147180559945 % pi = 4 - 4/3 + 4/5 - 4/7 + ...altsum(4./(1:2:39))ans = 3.141592653589794 % Euler-Mascheroni...


Platforms: Matlab

A Gaussian mixture model means that each data point is drawn (randomly) from one of C classes of data, with probability p_i of being drawn from class i, and each class is distributed as a Gaussian with mean standard deviation mu_i and sigma_i. Given a set of data drawn from such a distribution,...


Platforms: Matlab

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.


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

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