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Numerical Methods of Statistics by John F. Monahan

24 February 2017 adminProbability Statistics

By John F. Monahan

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First of all, note that the negation of a positive x can be viewed as [(2M − 1) − x] + 1 = 2M − x, since (2M − 1) produces a string of ones and subtraction of x complements each bit. The rules of addition and subtraction can be followed with two exceptions: first, the results are done modulo 2M ; second, overflows need to be tracked. Before deciphering the overflow rules, note the placement of points on the real line and take care to distinguish the list of bits and the value implied by the convention.

Brent (1978) and Smith (1991) have produced Fortran-based multiple precision packages. For an interesting application that computes the digits of π, see Bailey (1988). The third and final approach for unusual problems are methods for doing rational arithmetic. Here, the results are entirely exact and the computations are all performed using integers. Different representations can be used. The simplest one, and the only one recommended for amateurs, is to represent a number using its prime factorization by the list of exponents: 33/34 = 2−131 5 0 7 011113017−1 = (−1, 1, 0, 0, 1, 0, −1).

If the user forgot to list x as an argument or forgot its assignment earlier in the function, then R will look for something called x. This approach for resolving values of variables in functions is called lexical scoping and allows for external and internal functions and all levels in between. ” Journal of Computational and Graphical Statistics 9: 491–508. Donald E. Knuth (1997), The Art of Computer Programming (vol. 1: Fundamental Algorithms), 3rd ed. Reading, MA: Addison-Wesley. Mark Priestly (1997), Practical Object-Oriented Design.

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