PROBABILITY GENERATING FUNCTIONS OF ABSOLUTE DIFFERENCE OF TWO RANDOM VARIABLES
Author(s) -
Prem Puri
Publication year - 1966
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.56.4.1059
Subject(s) - happiness , anger , salient , psychology , cognitive psychology , absolute (philosophy) , somatosensory system , social psychology , computer science , neuroscience , artificial intelligence , epistemology , philosophy
Communicated by Jerzy Neyman, August 1, 1966 1. All random variables considered in this note are nonnegative and integervalued. Generically, the probability generating functions (P. G. F.) of such variables are denoted by G with subscripts identifying the random variables concerned. The argument, or arguments of the P. G. F., denoted by either u or v, will be assumed to have their moduli less than unity. The note gives a simple formula for the P. G. F. of the absolute difference Z = i X2|, where X1 and X2 are arbitrary random variables of the kind considered. Later, this formula is used to obtain a characterization of the geometric distribution. The random variable Z appears in several domains of applications. See, for instance, David.1 2. THEOREM 1. Whatever be the random variables X1 and X2, we have = 1 (2I 1 -V2 *GS x(eiGe i)dO. (1) i(V) 2~r Jo 1+ v2-2v cosO 1, The theorem can be easily proved by first noticing that for vI < 1, 1 V2 co
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