< Master index Index for wafo >

Index for wafo\wstats

Matlab files in this directory:

 alias Alias structure of a fractional design.
 cdr Complete Defining Relation
 cempdistr Computes and plots the conditional empirical CDF
 cl2cnr Column Label to Column Number
 cnr2cl Column Number to Column Label.
 comnsize Check if all input arguments are either scalar or of common size.
 Contents Module WSTATS in WAFO Toolbox.
 cplot Cubic plot of responses
 dist2dcdf Joint 2D CDF computed as int F(X1
 dist2dcdfplot Plot conditional empirical CDF of X1 given X2=x2
 dist2dfit Parameter estimates for DIST2D data.
 dist2dfun is an internal function to dist2dcdf dist2dprb.
 dist2dparamplot Plot parameters of the conditional distribution
 dist2dpdf Joint 2D PDF computed as f(x1|X2=x2)*f(x2)
 dist2dpdf2 Joint 2D PDF computed as f(x1|X2=x2)*f(x2)
 dist2dprb returns the probability for rectangular regions.
 dist2drnd Random points from a bivariate DIST2D distribution
 dist2dsmfun Smooths the conditional DIST2D distribution parameters.
 dist2dsmfun2 Smooths the conditional DIST2D distribution parameters.
 dist2dstat Mean and variance for the DIST2D distribution
 dist2dstatplot Computes and plots the conditional mean and standard deviation
 distplot Displays a 1D distribution probability plot.
 empdistr Computes and plots the empirical CDF
 ffd Two-level Fractional Factorial Design
 fitmodel Fits response by polynomial
 getmodel Return the model parameters
 identify Identify points on a plot by clicking with the mouse.
 iqr Computes the Inter Quartile Range
 kdeplot Computes and plots a kernel density estimate of PDF
 loglike Log-likelihood function.
 mdist2dcdf Joint 2D CDF due to Plackett
 mdist2dcdfplot Plot conditional empirical CDF of X1 given X2=x2
 mdist2dcinv Inverse of the conditional cdf of X2 given X1.
 mdist2dfit Parameter estimates for MDIST2D data.
 mdist2dlike MDIST log-likelihood function.
 mdist2dpdf Joint 2D PDF due to Plackett given as f{x1}*f{x2}*G(x1,x2;Psi).
 mdist2dpdf2 Joint 2D PDF due to Plackett given as f{x1}*f{x2}*G(x1,x2;Psi).
 mdist2drnd Random points from a bivariate MDIST2D distribution
 mdist2dstat Mean and variance for the MDIST2D distribution.
 mdist2dstatplot Computes and plots the conditional mean and standard deviation.
 mvnormpdf Multivariate Normal probability density function.
 nplot Normal probability plot of effects
 pairs Pairwise scatter plots.
 range Calculates the difference between the maximum and minimum values.
 Readme Readme file for module WSTATS in WAFO Toolbox.
 ryates Reverse Yates' algorithm to give estimated responses
 sudg Some Useful Design Generators
 var Variance
 walpharnd Random matrices from a symmetric alpha-stable distribution
 wbetacdf Beta cumulative distribution function
 wbetafit Parameter estimates for Beta data.
 wbetainv Inverse of the Beta distribution function
 wbetapdf Beta probability density function
 wbetarnd Random matrices from a Beta distribution
 wbetastat Mean and variance for the Beta distribution.
 wchi2cdf Chi squared cumulative distribution function
 wchi2fit Parameter estimates for Chi squared data.
 wchi2inv Inverse of the Chi squared distribution function
 wchi2pdf Chi squared probability density function
 wchi2rnd Random matrices from a Chi squared distribution.
 wchi2stat Mean and variance for the Chi squared distribution.
 weib2dcdf Joint 2D Weibull cumulative distribution function
 weib2dcdfplot Plot conditional empirical CDF of X1 given X2=x2
 weib2dcinv Inverse of the conditional 2D weibull cdf of X2 given X1.
 weib2dfit Parameter estimates for 2D Weibull data.
 weib2dlike 2D Weibull log-likelihood function.
 weib2dpdf 2D Weibull probability density function (pdf).
 weib2dpdf2 Joint 2D Weibull probability density function
 weib2dprb returns the probability for rectangular regions.
 weib2drnd Random numbers from the 2D Weibull distribution.
 weib2dstat Mean and variance for the 2D Weibull distribution
 weib2dstatplot Computes and plots the conditional mean and standard deviation
 wexpcdf Exponential cumulative distribution function
 wexpfit Parameter estimates for Exponential data.
 wexpinv Inverse of the Exponential distribution function
 wexppdf Exponential probability density function
 wexpplot Plots data on a Exponential distribution paper
 wexprnd Random matrices from an Exponential distribution
 wexpstat Mean and variance for the Exponential distribution.
 wfcdf Snedecor's F cumulative distribution function
 wfinv Inverse of the Snedecor's F distribution function
 wfpdf Snedecor's F probability density function
 wfrechcdf Frechet cumulative distribution function
 wfrechinv Inverse of the Frechet distribution function
 wfrechpdf Frechet probability density function
 wfrechstat Mean and variance for the Frechet distribution.
 wfrnd Random matrices from the Snedecor's F distribution
 wfstat Mean and variance for the Snedecor's F distribution.
 wgamafit Is an internal routine for wgamfit
 wgamcdf Gamma cumulative distribution function
 wgamfit Parameter estimates for Gamma data.
 wgaminv Inverse of the Gamma distribution function
 wgampdf Gamma probability density function
 wgamrnd Random matrices from a Gamma distribution.
 wgamstat Mean and variance for the Gamma distribution.
 wgevcdf Generalized Extreme Value cumulative distribution function
 wgevfit Parameter estimates for GEV data
 wgevinv Inverse of the Generalized Extreme Value distribution function
 wgevlike Is an internal routine for wgevfit
 wgevpdf Generalized Extreme Value probability density function
 wgevrnd Random matrices from a Generalized Extreme Value distribution
 wgevstat Mean and variance for the GEV distribution.
 wggambfit Is an internal routine for wggamfit
 wggamcdf Generalized Gamma cumulative distribution function
 wggamfit Parameter estimates for Generalized Gamma data.
 wggaminv Inverse of the Generalized Gamma distribution function
 wggampdf Generalized Gamma probability density function
 wggamrnd Random matrices from a Generalized Gamma distribution.
 wggamstat Mean and variance for the Generalized Gamma distribution.
 wgpdcdf Generalized Pareto cumulative distribution function
 wgpdfit Parameter estimates for Generalized Pareto data
 wgpdfit_ml Internal routine for wgpdfit (ML estimates for GPD data)
 wgpdinv Inverse of the Generalized Pareto distribution function
 wgpdpdf Generalized Pareto probability density function
 wgpdrnd Random matrices from a Generalized Pareto Distribution
 wgpdstat Mean and variance for the Generalized Pareto distribution.
 wgumbafit Is an internal routine for wgumbfit
 wgumbcdf Gumbel cumulative distribution function.
 wgumbfit Parameter estimates for Gumbel data.
 wgumbinv Inverse of the Gumbel distribution function.
 wgumbpdf Gumbel probability density function.
 wgumbplot Plots data on a Gumbel distribution paper.
 wgumbrnd Random matrices from a Gumbel distribution.
 wgumbstat Mean and variance for the Gumbel distribution.
 wgumbtest Tests whether the shape parameter in a GEV is equal to zero
 whisto Plots a histogram
 winvgcdf Inverse Gaussian cumulative distribution function
 winvgfit Parameter estimates for Inverse Gaussian data.
 winvginv Inverse of the Inverse Gaussian distribution function
 winvgpdf Inverse Gaussian probability density function
 winvgrnd Random matrices from a Inverse Gaussian distribution.
 winvgstat Mean and variance for the Inverse Gaussian distribution.
 wkurtosis Computes sample kurtosis
 wlogncdf Lognormal cumulative distribution function
 wlognfit Parameter estimates for Lognormal data.
 wlogninv Inverse of the Lognormal distribution function
 wlognpdf Lognormal probability density function
 wlognrnd Random matrices from a Lognormal distribution.
 wlognstat Mean and variance for the Lognormal distribution.
 wmnormrnd Random vectors from a multivariate Normal distribution
 wnormcdf Normal cumulative distribution function
 wnormfit Parameter estimates for Normal data.
 wnorminv Inverse of the Normal distribution function
 wnormndpdf N-Dimensional Normal probability density function.
 wnormpdf Normal probability density function
 wnormplot Plots data on a Normal distribution paper
 wnormrnd Random matrices from a Normal distribution.
 wnormstat Mean and variance for the Normal distribution.
 wqqplot Plot empirical quantile of X vs empirical quantile of Y
 wquantile Empirical quantile (percentile).
 wraylcdf Rayleigh cumulative distribution function
 wraylfit Parameter estimates for Rayleigh data.
 wraylinv Inverse of the Rayleigh distribution function
 wraylpdf Rayleigh probability density function
 wraylplot Plots data on a Rayleigh distribution paper
 wraylrnd Random matrices from a Rayleigh distribution
 wraylstat Mean and variance for the Rayleigh distribution.
 wskewness Computes sample skewness
 wtcdf Student's T cumulative distribution function
 wtfit Parameter estimates for Student's T data.
 wtinv Inverse of the Student's T distribution function
 wtpdf Student's T probability density function
 wtraylcdf Truncated Rayleigh cumulative distribution function
 wtraylfit Parameter estimates for Truncated Rayleigh data.
 wtraylpdf Truncated Rayleigh probability density function
 wtrnd Random matrices from a Student's T distribution
 wtstat Mean and variance for the Student's T distribution.
 wtweibcdf Truncated Weibull cumulative distribution function
 wtweibfit Parameter estimates for truncated Weibull data.
 wtweibfun Is an internal routine for wtweibfit
 wtweibpdf Truncated Weibull probability density function
 wweibcdf Weibull cumulative distribution function
 wweibcfit Is an internal routine for wweibfit
 wweibfit Parameter estimates for Weibull data.
 wweibinv Inverse of the Weibull distribution function
 wweibpdf Weibull probability density function
 wweibplot Plots data on a Weibull distribution paper
 wweibrnd Random matrices a the Weibull distribution.
 wweibstat Mean and variance for the Weibull distribution.
 yates Calculates main and interaction effects using Yates' algorithm.

Dependency Graph

TODO List


Mathematical Statistics
Centre for Mathematical Sciences
Lund University with Lund Institute of Technology

Comments or corrections to the WAFO group


Generated on Thu 06-Oct-2005 02:21:00 for WAFO by m2html © 2003