@article {MATHEDUC.05811067,
author = {Teves, Christopher J. and Burchenal, Joseph T. and Haluska, Daniel M. and Sommers, Paul M.},
title = {A Poisson model for ``hitting for the cycle'' in Major League Baseball.},
year = {2009},
journal = {Journal of Recreational Mathematics},
volume = {35},
number = {2},
issn = {0022-412X},
pages = {112-116},
publisher = {Baywood Publishing Company, Amityville, NY},
abstract = {Summary: In a recent article in this journal, Campbell et al. showed that the Poisson probability distribution provides an excellent fit to the data on no-hit games in Major League Baseball, especially during the period 1920-1959. Hitting for the cycle (that is, when a batter hits a single, double, triple, and home run in the same game) is another rare event in Major League Baseball. And, here too, the Poisson probability distribution given by $p(X=x)=\frac{e^{-\mu}\mu ^x}{x!}$ , $x=0,1,2,\dots$ where x denotes the number of ballplayers who ``hit for the cycle'' in a given season provides a remarkably good fit.},
msc2010 = {K60xx (A20xx M90xx)},
identifier = {2010f.00909},
}