A note on correlation coefficient between random events

Czesław Stępniak

Discussiones Mathematicae Probability and Statistics (2015)

  • Volume: 35, Issue: 1-2, page 57-60
  • ISSN: 1509-9423

Abstract

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Correlation coefficient is a well known measure of (linear) dependence between random variables. In his textbook published in 1980 L.T. Kubik introduced an analogue of such measure for random events A and B and studied its basic properties. We reveal that this measure reduces to the usual correlation coefficient between the indicator functions of A and B. In consequence the resuts by Kubik are obtained and strenghted directly. This is essential because the textbook is recommended by many universities in Poland.

How to cite

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Czesław Stępniak. "A note on correlation coefficient between random events." Discussiones Mathematicae Probability and Statistics 35.1-2 (2015): 57-60. <http://eudml.org/doc/276479>.

@article{CzesławStępniak2015,
abstract = {Correlation coefficient is a well known measure of (linear) dependence between random variables. In his textbook published in 1980 L.T. Kubik introduced an analogue of such measure for random events A and B and studied its basic properties. We reveal that this measure reduces to the usual correlation coefficient between the indicator functions of A and B. In consequence the resuts by Kubik are obtained and strenghted directly. This is essential because the textbook is recommended by many universities in Poland.},
author = {Czesław Stępniak},
journal = {Discussiones Mathematicae Probability and Statistics},
keywords = {correlation coefficient between random events; correlation coefficient for random variables; synergy phenomenon},
language = {eng},
number = {1-2},
pages = {57-60},
title = {A note on correlation coefficient between random events},
url = {http://eudml.org/doc/276479},
volume = {35},
year = {2015},
}

TY - JOUR
AU - Czesław Stępniak
TI - A note on correlation coefficient between random events
JO - Discussiones Mathematicae Probability and Statistics
PY - 2015
VL - 35
IS - 1-2
SP - 57
EP - 60
AB - Correlation coefficient is a well known measure of (linear) dependence between random variables. In his textbook published in 1980 L.T. Kubik introduced an analogue of such measure for random events A and B and studied its basic properties. We reveal that this measure reduces to the usual correlation coefficient between the indicator functions of A and B. In consequence the resuts by Kubik are obtained and strenghted directly. This is essential because the textbook is recommended by many universities in Poland.
LA - eng
KW - correlation coefficient between random events; correlation coefficient for random variables; synergy phenomenon
UR - http://eudml.org/doc/276479
ER -

References

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  1. [1] P. Brémaud, An Introduction to Probabilistic Modeling (Springer-Verlag, New York, 1994). Zbl0652.60002
  2. [2] L.T. Kubik, Probability. A Textbook for Teaching Mathematics Studies (in Polish) 9Polish Scientific Publishers, Warsaw, 1980). 
  3. [3] K. Maciąg and C. Stępniak, Lack of synergy regression models, Comm. Statist. Theory Methods 43 (2014), 383-391. 
  4. [4] D. Stirzaker, Elementary Probability (Cambridge Univ. Press, Cambridge, 1994). 

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