| G01AHF
|
Lineprinter scatterplot of one variable against Normal scores |
| G01DAF
|
Normal scores, accurate values
|
| G01DBF
|
Normal scores, approximate values
|
| G01DCF
|
Normal scores, approximate variance-covariance matrix
|
| G01DHF
|
Ranks, Normal scores, approximate Normal scores or exponential (Savage) scores |
| G01DHF
|
Ranks, Normal scores, approximate Normal scores or exponential (Savage) scores |
| G01EAF
|
Computes probabilities for the standard Normal distribution |
| G01FAF
|
Computes deviates for the standard Normal distribution |
| G01HAF
|
Computes probability for the bivariate Normal distribution |
| G01HBF
|
Computes probabilities for the multivariate Normal distribution |
| G01NAF
|
Cumulants and moments of quadratic forms in Normal variables
|
| G01NBF
|
Moments of ratios of quadratic forms in Normal variables, and related statistics |
| G02GAF
|
Fits a generalized linear model with Normal errors |
| G05LAF
|
Generates a vector of random numbers from a Normal distribution, seeds and generator number passed explicitly
|
| G05LZF
|
Generates a vector of random numbers from a multivariate Normal distribution, seeds and generator number passed explicitly
|
| G07BBF
|
Computes maximum likelihood estimates for parameters of the Normal distribution from grouped and/or censored data
|
| G07CAF
|
Computes t-test statistic for a difference in means between two Normal populations, confidence interval
|
| S15ABF
|
Cumulative Normal distribution function P(x) |
| S15ACF
|
Complement of cumulative Normal distribution function Q(x) |