Confidence Intervals

Plots shaded confidence intervals. Uses the matlab fill function, rather than area. This allows for multiple confidence plots to be overlayed for statistical comparison.

Computes intraclass coefficients after the model ICC(2,1) given by Shrout & Fleiss (1979). Also computes confidence intervals and performs test for significant difference to a given value.

Statistics::PointEstimation is a Perl module for computing confidence intervals in parameter estimation with Students T distribution. Statistics::PointEstimation::Sufficient - Perl module for computing the confidence intervals using sufficient statistics SYNOPSIS # example for...


Platforms: *nix

This code implements a new method for quantile inference based on theoretical work found here: http://econ.ucsd.edu/~dkaplan/personalResearch.htmlExtensive simulations (Section 6 of paper has some examples) have shown it to control size better than bootstrap ("BS") methods and the analytic Hall...


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

Calculate tedious and difficult Statistics and Discrete Mathematics formulas accurately, quickly, and with ease! Combinatorics (permutations and combinations, etc.), probabilities, expected values, confidence intervals, data analysis, hypothesis testing and more. Statistics Pro does more...


Platforms: Windows, Mac

The software system solves constrained nonlinear parameter estimation problems. Synonyms are data fitting, nonlinear regression, parameter identification, curve and surface fitting. A statistical analysis provides confidence intervals, correlation and covariance matrices, identification of...


Platforms: Windows

These are some of the SigmaXL features: Data Manipulation: ' Subset by Category, Number, Date or Random ' Stack Subgroups Across Rows ' Random Number Generator Templates & Calculators: ' DMAIC & DFSS Templates ' Lean Templates ' Probability Distribution Calculators ' MSA Templates ' Process...


Platforms: Windows

This function can calculate any of the 6 different ICCs defined by McGraw as well as their confidence intervals. In addition a hypothesis test is performed with the null hypothesis that ICC = r0. This function calls anova_rm (provided inside the zip file).Syntax:[r, LB, UB, F, df1, df2, p] =...


Platforms: Matlab

This function computes double block bootstrap percentile confidence intervals and bootstrap standard errors for the Pearson correlation coefficient r and Fisher's z = atanh(r).References:-Efron, B. and R.J. Tibshirani (1993): An Introduction to the Bootstrap, Chapman & Hall.-BdoDshlmann, P. and...


Platforms: Matlab

Usage: [q,se]=quantilese(x,p) [q,ql,qu]=quantilese(x,p,a)This determines the quantiles corresponding to probability P in the data set X, along with either their standard errors or confidence intervals at level A. The standard errors are calculated using the Maritz-Jarrett method and the...


Platforms: Matlab

PLOT_CI plots confidence intervals and patch between two confidence interval lines. X is nx1 vector corresponding to a horizontal axis. Y can be either nx1, nx2, or nx3 matrix. If Y is nx1 vector, PLOT_CI plots just the main line. If Y is nx2, the function assumes only two confidence intervals...


Platforms: Matlab

Myplotyy plots different data sets with a common x-axis but using individual y-axes in one figure.The properties of every curve (y-axis) can be individually adjusted, such as linear or logarithmic scale, normal or reverse scale, confidence intervals, colors, curve labeling, ...See screenshot and...


Platforms: Matlab

Control system for DC machine with current back-propagation and two levels of excitation is using in wide area of applications.It developed for modeling of robustness in power circuit of electrical engine. The action of electrical engine determined by stringent conditions of confidence intervals.


Platforms: Matlab

Analytic Rarefaction is easy to use. Save your list of species abundances in a .txt or .csv file; the abundances can be separated by spaces, tabs, commas, or returns - whichever you prefer. Click the button in Analytic Rarefaction, choose your file, and the rarefaction is completed quickly. The...


Platforms: Mac

CORRPERC performs a bootstrap (of size equal to n_iters) on correlation matrices of input variable Y and computes the percentiles corrsperc (according to input perc) of each correlation. The function also provides the standard deviation corrstd for each correlation.[corrsperc, corrstd] =...


Platforms: Matlab

Analyse-It for Excel: General Statistics brings statistical analysis to Microsoft Excel 95, 97, 2000 and XP, with 14 parametric and 17 nonparametric procedures for descriptive statistics, testing normality, comparing groups, correlation, and regression. Analyse-It loads with Excel, analyses data...

This programme will compute effect size estimates for use in Meta-analyses. It will compute the Cohen's d effect size estimate, apply Hodges Adjustment for sample size (to Cohen's d) and also provide Hodges g effect size estimate. It will also provide 95% confidence intervals for the derived...


Platforms: Windows

Statistics::Distributions is a Perl module for calculating critical values and upper probabilities of common statistical distributions. SYNOPSIS use Statistics::Distributions; $chis=Statistics::Distributions::chisqrdistr (2,.05); print "Chi-squared-crit (2 degrees of freedom, 95th...


Platforms: *nix

Statistics::TTest is a Perl module to perform T-test on 2 independent samples. Statistics::TTest::Sufficient - Perl module to perfrom T-Test on 2 indepdent samples using sufficient statistics SYNOPSIS #example for Statistics::TTest use Statistics::PointEstimation; use Statistics::TTest;...


Platforms: *nix