By Xitao Fan; SAS Institute.; et al
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Extra info for SAS® for Monte Carlo studies : a guide for quantitative researchers
VAR the name of the random variable. */ /* HLAG the highest lag of correlation to be calculated. */ /* The macro calculates the correlation coefficients */ /* between subsequent random values with lags of 1, 2, */ /* 3, ... &HLAG. One correlation coefficient is */ /* calculated for each lag. */ /* */ /* Notes */ /* 1. The macro assumes that there is no missing value in the */ /* input table and it has at least HLAG number of rows. */ /* 2. The name of the random variable must not start with */ /* ’lag’.
The actual starting number of the stream depends on the seed value specified by the user according to the rule given here. If seed is >0 R0, the starting number of the stream, is set to the and the streams of the random numbers at repeated executions are time since midnight different seed value specified by the user the same Chapter 3 Generating Univariate Random Numbers in SAS 35 The precision of the time since midnight (in the case of seed#0) depends on the operating system. For example, Windows returns it in units of milliseconds.
Proceedings of the Tenth Annual SAS Users Group International Conference, Reno, Nevada, 982-989. Killam, B. 1987. ”Proceedings of the Twelfth Annual SAS Users Group International Conference, Dallas, Texas, 1059-1065. Knuth, D. E. 1982. The Art of Computer Programming: Seminumerical Algorithms. Vol. 2. 2d ed. Reading, MA: Addison-Wesley. Lehmer, F. H. 1951. Second Symposium on Large-Scale Digital Calculating Machinery. Cambridge: Harvard University Press. Moody’s Investor Services. 1999. Bond Rating Distribution.