R. Zia and B. Schmittmann, Am. J. Phys., 71 (9), 859-875 (2003).
The most frequently studied quantities of a statistical variable are its average and standard deviation. Yet, its full distribution often carries very interesting information and can…
D. Landau, S. Tsai, and M. Exler, Am. J. Phys., 72 (10), 1294-1302 (2004).
The authors describe a Monte Carlo algorithm for sampling the density of states directly by doing a random walk in energy space. The probability of a microstate is computed at any…
G. D'Agostini, Am. J. Phys., 67 (12), 9 (1999).
The author introduces the ideas of subjective probability and Bayesian inference, comments on typical misconceptions that tend to discredit it, and compares it to other approaches.
S. Redner, Am. J. Phys., 58 (3), 267-273 (1990).
An elementary discussion of the statistical properties of the product of N independent random variables is given. The motivation is to emphasize the essential differences between the…
R. Zia and B. Schmittmann, Am. J. Phys., 71 (9), 859-865 (2003).
For any physical observable in statistical systems, the most frequently studied quantities are its average and standard deviation. Yet, its full distribution often carries extremely…
B. Schmittmann and R. Zia, Am. J. Phys., 67 (12), 1269-1276 (1999).
We present a simple introduction to the statistics of extreme values. Motivated by a string of record high temperatures in December 1998, we consider the distribution, averages, and…
