1. Numerical Methods for Scientists and Engineers. McGraw-Hill: New York, 1962.
2. The improbability of probabilistic error analyses for numerical computations. UC Berkeley Statistics Colloquium, 28 February 1996, and subsequently revised 4 March 1996 (an earlier version of this lecture was presented at the Third ICIAM Congress, 3-7 July 1995). Available at: http://http.cs.berkeley.edu/?wkahan/improber.ps.
3. Monte Carlo arithmetic: how to gamble with floating point and win
4. Monte Carlo Arithmetic: Exploiting randomness in floating-point arithmetic. Technical Report, UCLA Computer Science Department, January 1997. Available at: http://www.cs.ucla.edu/?stott/mca/.
5. Modern Error Analysis