S Index Page
Keyword Index for the NAG Library Manual
NAG Library Manual

Keyword : Statistical distribution functions

G01ABF   Means, corrected sums of squares and cross-products, etc., two variables, from raw data
G01ADF   Mean, variance, skewness, kurtosis, etc., one variable, from frequency table
G01AEF   Frequency table from raw data
G01AFF   Two-way contingency table analysis, with χ2/Fisher's exact test
G01AGF   Lineprinter scatterplot of two variables
G01AHF   Lineprinter scatterplot of one variable against Normal scores
G01AJF   Lineprinter histogram of one variable
G01ALF   Computes a five-point summary (median, hinges and extremes)
G01AMF   Find quantiles of an unordered vector, real numbers
G01ANF   Calculates approximate quantiles from a data stream of known size
G01APF   Calculates approximate quantiles from a data stream of unknown size
G01ARF   Constructs a stem and leaf plot
G01ASF   Constructs a box and whisker plot
G01ATF   Computes univariate summary information: mean, variance, skewness, kurtosis
G01AUF   Combines multiple sets of summary information, for use after G01ATF
G01BJF   Binomial distribution function
G01BKF   Poisson distribution function
G01BLF   Hypergeometric distribution function
G01DAF   Normal scores, accurate values
G01DBF   Normal scores, approximate values
G01DCF   Normal scores, approximate variance-covariance matrix
G01DDF   Shapiro and Wilk's W test for Normality
G01DHF   Ranks, Normal scores, approximate Normal scores or exponential (Savage) scores
G01EAF   Computes probabilities for the standard Normal distribution
G01EBF   Computes probabilities for Student's t-distribution
G01ECF   Computes probabilities for χ2 distribution
G01EDF   Computes probabilities for F-distribution
G01EEF   Computes upper and lower tail probabilities and probability density function for the beta distribution
G01EFF   Computes probabilities for the gamma distribution
G01EMF   Computes probability for the Studentized range statistic
G01EPF   Computes bounds for the significance of a Durbin–Watson statistic
G01ERF   Computes probability for von Mises distribution
G01ETF   Landau distribution function
G01EUF   Vavilov distribution function
G01EYF   Computes probabilities for the one-sample Kolmogorov–Smirnov distribution
G01EZF   Computes probabilities for the two-sample Kolmogorov–Smirnov distribution
G01FAF   Computes deviates for the standard Normal distribution
G01FBF   Computes deviates for Student's t-distribution
G01FCF   Computes deviates for the χ2 distribution
G01FDF   Computes deviates for the F-distribution
G01FEF   Computes deviates for the beta distribution
G01FFF   Computes deviates for the gamma distribution
G01FMF   Computes deviates for the Studentized range statistic
G01FTF   Landau inverse function Ψx
G01GBF   Computes probabilities for the non-central Student's t-distribution
G01GCF   Computes probabilities for the non-central χ2 distribution
G01GDF   Computes probabilities for the non-central F-distribution
G01GEF   Computes probabilities for the non-central beta distribution
G01HAF   Computes probability for the bivariate Normal distribution
G01HBF   Computes probabilities for the multivariate Normal distribution
G01HCF   Computes probabilities for the bivariate Student's t-distribution
G01HDF   Computes the probability for the multivariate Student's t-distribution
G01JCF   Computes probability for a positive linear combination of χ2 variables
G01JDF   Computes lower tail probability for a linear combination of (central) χ2 variables
G01KAF   Calculates the value for the probability density function of the Normal distribution at a chosen point
G01KFF   Calculates the value for the probability density function of the gamma distribution at a chosen point
G01KKF   Computes a vector of values for the probability density function of the gamma distribution
G01KQF   Computes a vector of values for the probability density function of the Normal distribution
G01MBF   Computes reciprocal of Mills' Ratio
G01MTF   Landau density function ϕ λ
G01MUF   Vavilov density function ϕV λ;κ,β2
G01NAF   Cumulants and moments of quadratic forms in Normal variables
G01NBF   Moments of ratios of quadratic forms in Normal variables, and related statistics
G01PTF   Landau first moment function Φ1x
G01QTF   Landau second moment function Φ2x
G01RTF   Landau derivative function ϕλ
G01SAF   Computes a vector of probabilities for the standard Normal distribution
G01SBF   Computes a vector of probabilities for the Student's t-distribution
G01SCF   Computes a vector of probabilities for χ2 distribution
G01SDF   Computes a vector of probabilities for F-distribution
G01SEF   Computes a vector of probabilities for the beta distribution
G01SFF   Computes a vector of probabilities for the gamma distribution
G01SJF   Computes a vector of probabilities for the binomial distribution
G01SKF   Computes a vector of probabilities for the Poisson distribution
G01SLF   Computes a vector of probabilities for the hypergeometric distribution
G01TAF   Computes a vector of deviates for the standard Normal distribution
G01TBF   Computes a vector of deviates for Student's t-distribution
G01TCF   Computes a vector of deviates for χ2 distribution
G01TDF   Computes a vector of deviates for F-distribution
G01TEF   Computes a vector of deviates for the beta distribution
G01TFF   Computes a vector of deviates for the gamma distribution
G01WAF   Computes the mean and standard deviation using a rolling window
G01ZUF   Initialization routine for G01MUF and G01EUF

S Index Page
Keyword Index for the NAG Library Manual
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford UK. 2013