Abstract
This paper describes an empirical search for correlation in sample sequences produced by 16 multiplicative congruential random number generators with modulus 231 - 1. Each generator has a distinct multiplier. One multiplier is in common use in the LLRANDOM and IMSL random generation packages as well as in APL and SIMPL/1. A second is used in SIMSCRIPT II. Six multipliers were taken from a recent study that showed them to have the best spectral and lattice test properties among 50 multipliers considered. The last eight multipliers had the poorest spectral and lattice test properties for 2-tupes among the 50. A well known poor generator, RANDU, with modulus 231, was also tested to provide a benchmark for evaluating the empirical testing procedure.
A comprehensive analysis based on test statistics derived from cumulative periodograms computed for each multiplier for each of 512 independent replications of 16384 observations each showed evidence of excess high frequency variation in two multipliers and excess midrange frequency variation in three others, including RANDU. Also evidence exists for a bimodal spectral density function for yet another multiplier. An examination of the test results showed that the empirical evidence of a departure from independence did not significantly favor the eight poorest multipliers. This observation is in agreement with a similar observation made by the authors in an earlier study of these multipliers that principally concentrated on their distributional properties in one, two and three dimensions. This consistency raises some doubt as to how one should interpret the results of the spectral and lattice tests for a multiplier. Also, the three multipliers considered superior in the earlier study maintain that position in the current study.
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References
Anderson, T. W. and D. A. Darling (1952). “Asymptotic Theory of Certain Goodness of Fit Criteria Based on Stochastic Processes”, The Annals of Mathematical Statistics, 23, 193–212.
Anderson, T. W. and D. A. Darling (1954). “A Test of Goodness of Fit”, journal of the Annals of Mathematicals Association, 49, 765–9.
Bartlett, Maurice S. (1955). An Introduction to Stochastic processes. Cambridge, England: Cambridge University Press.
Beyer, W. A., R. B. Roof and Dorothy Williamson (1971). “The Lattice Structure of Multiplicative Congruential Pseudo-Random Vectors”, Mathematic of Computation, 25, 345–63.
Birnbaum, Z. W. and R. Pyke (1958). “On Some Distributions Related to the Statistic D+ n Statistic”, The Annals of Mathematical Statistic, 1 79–87
Coveyou, R. R. and R. D. MacPherson (1967). “Fourier Analysis of Uniform Random Number Generators”, Journal of the Association for Computing Machinery, 14, 100–19.
Cox, David R. and Peter A. W. Lewis (1966). The Analysis of Series of Events. New York City: Methuen Publishing Co
Durbin, James (1961). “Some Methods of Constructing Exact Tests”, Biometrika, 48, 41–55.
Durbin, James (1969). “Tests of Serial Independence Based on the Cumulated Periodogram”, Bulletin of the International Satistical Institute, 42, 1039–48.
Durbin, James (1973). Distribution Theory for Tests Based on the Sample Distribution Function. Philadelphia, Pennsylvania: Society for Industrial and Applied Mathematics.
Dwass, Meyer (1958). “On Several Statistics Related to Empirical Distribution Functions”, The Annals of Mathematical Statistics, 29, 188–91.
Fishman, George S. (1978). Principles of Discrete Event Simulation. New York: John Wiley and Sons.
Fishman, George S. and Louis R. Moore, III (1978). “A Statistical Evaluation of Multiplicative Congruential Generators with Modulus 231 -1”, Technical Report 78–11, Curriculum in Operations Research and Systems Analysis, University of North Carolina at Chapel Hill.
Gnedenko, B. V. and V. S. Mialevic (1952). “Two Theorems on the Behavior of Empirical Distribution Functions”, Doklady Nauk. SSSR (N.S.), 85, 25–7.
Hoaglin, David (1976). “Theoretical Properties of Congruential Random-Number Generators: An Empirical View”, Memorandum NS-340, Department of Statistics, Harvard Universtiy.
IBM (1972). SIMPL/1 Program Reference Manual. SH19–5060-0.
International Mathematical and Statistical Libraries, Inc. (1977). IMSL Library, Houston, Texas.
Katzan, H., Jr. (1971). APL user’s Guide. New York: Van Nostrand Reinhold.
Learmonth, G. and P. A. W. Lewis (1973). “Naval Postgraduate School Random Number Generator Package LLRANDOM, “Monterey, California: Naval Postgraduate School.
Lewis, Peter A. W. (1960). “Distribution of the Anderson-Darling Statistic”, The Annals of Mathematical Statistics, 1118–24.
Lewis, Peter A. W., A. S. Goodman and J. M. Miller (1969). “A Pseudo-Random Number Generator for the System 350”, IBM Systems Journal, 8(2), 136–45.
Marsaglia, George (1972). “The Structure of Linear Congruentia1 Sequences”, in Apptications of Number Theory to Numerical Analysis, ed. S. K. Zaremba, New York: Academic Press.
Pyke, R. (1959). “The Supremum and Infimum of the Poisson Process”, The Annals of Mathematical Statistics, 5 68–76.
Smirnov, N. V. (1939). “Sur les ecarts de la courbe de distribution empirique”, (French summary), Rec.Math., 6, 3–26.
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Fishman, G.S., Moore, L.R. (1981). In Search of Correlation in Multiplicative Congruential Generators with Modulus 231 -1. In: Eddy, W.F. (eds) Computer Science and Statistics: Proceedings of the 13th Symposium on the Interface. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9464-8_22
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DOI: https://doi.org/10.1007/978-1-4613-9464-8_22
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