Automated Hypothesis Tests and Standard Errors for Nonstandard Problems
Frederic M. Lord · The American Statistician · 1975
A general Computer program is described that will compute asymptotic standard errors and carry out significance tests for an endless variety of (standard and) nonstandard large-sample statistical problems, without requiring the statistician to derive asymptotic standard error formulas.The program assumes that the observations have a multinormal distribution and that the null hypothesis to be tested has the form xi = 0 where xi is some function (to be specified by the user) of means, variances, and covariances.Only minor programming is required to replace either or both of these assumptions.The package performs the automated hypothesis testing and consists of amain program and six subroutines.The package is written in Fortran IV..