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Tukey's lambda distribution is generalized to provide an algorithm for generating values of unimodal asymmetric random variables. This algorithm has the same advantages as the symmetric random variable generator previously given by the authors, except that the addition of another parameter complicates the problem of finding the parameter values to fit a distribution. [ABSTRACT FROM AUTHOR]

A method for generating values of continuous symmetric random variables that is relatively fast, requires essentially no computer memory, and is easy to use is developed. The method, which uses a uniform zero-one random number source, is based on the inverse function of the lambda distribution of Tukey. Since it approximates many of the continuous theoretical distributions and empirical distributions frequently used in simulations, the method should be useful to simulation practitioners. [ABSTRACT FROM AUTHOR]

The article focuses on the computer algorithm 434, related to exact probabilities for contingency tables. The researchers derive a general method for computing exact probabilities for contingency tables that result if a sample is subjected to k different and independent classifications. The algorithm is limited to the case where k is equal to 2. The algorithm was tested on a CDC 6400 (60 bit word). Results for the tables of order 2 by 3, were verified against values separately computed.

An algorithm is presented which efficiently evaluates the probability for the union of n independent and not mutually exclusive events. The problem is that of evaluating the sums of the products of all possible combinations of n variables in minimum time and storage space. [ABSTRACT FROM AUTHOR]

The article presents an algorithm for normal curve integral. The algorithm was translated into Fortran IV and run on a GE-625 computer.