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### Geary Test 1.0

GTEST: Single sample Geary goodness-of-fit hypothesis test.

### cltexp 1.0

· MATLAB Release: R10

### powerMAOV1 1.0

MATLAB macro output the power of the performed MANOVA test.

### Conover's Two-Sample Squared Ranks Test 1.0

alternative hypothesis type (upper, lower, two-sided)

### RAFisher1 1.0

· MATLAB Release: R11

### Jackknife a statistic 1.0

· MATLAB Release: R14SP1

### press 1.0

PRESS = i_Sum_n e_(i)^2 = i_Sum_n [y_i - ye_(i)]^2

### Windowed mutual information 1.0

· MATLAB Release: R12

### Log of factorial of large numbers 1.0

[L,M,X,S] = logfactorial(1E6)

### Multivariate Gaussian Distribution 1.0

x=mgd(1000,3,m,sigma) or x=mgd(1000,3,m',sigma)

### Bootstrap prediction error rate 1.0

· MATLAB Release: R14SP1

### Factorial of large numbers 1.0

· MATLAB Release: R14SP3

### Fisherextest 1.0

It needs to input the four frequency cells.

### histnd 1.0

HISTND N-D histogram count

### TDIST 1.0

TDIST Computes the distribution of a linear combination of independent Student's T random variables (with small degrees of freedom, df

### Q Function 1.0

This function computes the Q function by integrating the Normal distribution.

### Progressive mean and standard deviation 1.0

· MATLAB Release: R10

### lofrtest 1.0

- single mean (one parameter)

### PROFANA 1.0

There are three main questions to be answered on profile analysis:

### MULTINOMIAL 1.0

Non-integer input arguments are pre-rounded by FLOOR function.

### Generate spatial data 1.0

To generate Brown noise on a 10x10 grid you type

### Approximating the Inverse Normal 1.0

Input: u, a sacalar or matrix with elements between 0 and 1

### High Dimensional Data Clustering 1.0

· MATLAB Release: R2006a

### Boxpdf Percentile 1.0

Forces the pdf of data to have a boxed distribution using a data adaptive lookup table.

### cauchy 1.0

Cauchy cdf, pdf, inverse cdf, parameter fit, and random generator.

### random number generator for linear distribution 1.0

Return random variable(s) with linear distribution within [0,1] and 0 outside; m specifies the slope
In other word
P(x)= mx b if 0

### boxplot front end 1.0

· MATLAB Release: R10

### power1var 1.0

· MATLAB Release: R11