On Pairwise and Mutual Independence: Characterizations of Rectangular Distributions

Abstract Examples are given of three absolutely continuous random variables X, Y, and Z, which are identically distributed, pairwise but not mutually independent, and for which Z is a simple function of X + Y. These are shown to provide characterizations of the absolutely continuous rectangular distributions. The results carry over to the discrete rectangular distributions.

[1]  M. Degroot,et al.  Probability and Statistics , 2021, Examining an Operational Approach to Teaching Probability.

[2]  Paul G. Hoel,et al.  Introduction to Probability Theory , 1972 .

[3]  William Feller,et al.  An Introduction to Probability Theory and Its Applications , 1951 .

[4]  Boris Gnedenko,et al.  Theory of Probability , 1963 .

[5]  A. T. Bharucha-Reid,et al.  The Theory of Probability. , 1963 .

[6]  Robert V. Hogg,et al.  Introduction to Mathematical Statistics. , 1966 .