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ABSTRACT
Pseudo-random number generators of the power residue (sometimes called congruential or multiplicative) type are discussed and results of statistical tests performed on specific examples of this type are presented. Tests were patterned after the methods of MacLaren and Marsaglia (M&M).
The main result presented is the discovery of several power residue generators which performed well in these tests. This is important because, of all the generators using standard methods (including power residue) that were tested by M&M, none gave satisfactory results.
The overall results here provide further evidence for their conclusion that the types of tests usually encountered in the literature do not provide an adequate index of the behavior of n-tuples of consecutively generated numbers. In any Monte Carlo or simulation problem where n supposedly independent random numbers are required at each step, this behavior is likely to be important.
Finally, since the tests presented here differ in certain details from those of M&M, some of their generators were retested as a check. A cross-check shows that results are compatible; in particular, if a generator failed one of their tests badly, it also failed the present author's corresponding test badly.
REFERENCES
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2
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3
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-- AND --. Random number generators. SIAM Rev. 4 (1962), 230-254.
|
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4
|
INTERNATIONAL BUSINESS MACHINES CORPORATION. Random Number Generation and Testing. Ref. Manual C20-8011, IBM Corp., New York, 1959.
|
| |
5
|
JOHNSON, D.L. Generating and testing pseudo-random numbers on the IBM Type 701. Math. Tables Aids Comput. 10 (1956), 8-13.
|
| |
6
|
JUNCOSA, M.L. Random number generation on the BRL high-speed computing machines. Rep. No. 855, Ballistics Research Laboratories, Aberdeen Proving Ground, Md., 1953.
|
 |
7
|
|
 |
8
|
|
| |
9
|
TAUSSKY, O., AND TODD, J. Generation and testing of pseudo-random numbers. In Symposium on Monte Carlo Methods, Mayer, H. A. (Ed.), Wiley, New York, 1956, pp. 15-28.
|
 |
10
|
|
 |
11
|
|
| |
12
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SMIRNOV, N. Table for estimating the goodness of fit of empirical distributions. Ann. Math. Statist. 19 (1948), 279-281.
|
 |
13
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|
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14
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Box, G. E. P., AND MULLER, M.E. A note on the generation of random normal deviates. Ann. Math. Statist. 29 (1958), 610-613.
|
| |
15
|
VON NEUMAN, J. Various techniques used in connection with random digits. In Monte Carlo Methods, Nat. Bur. Standards Appl. Math. Series, No. 12, US Gov't. Printing Off., Washington, D. C., 1951.
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