Answers are grounded in this paper and cite their sources.
The concept of population weighted-symmetry (a generalization of population symmetry) is discussed and a characterization of weighted-symmetry provided. For the special case of population symmetry, this characterization yields a strong converse to the well-known result: if the distribution of a continuous random variable X is symmetric about θ, then Z= |X – θ| and the indicator function for the event {X ≥ θ} are stochastically independent. Implications and possible applications of the general weighted-symmetry results are considered.
No takes yet. Share an insight, caveat, or question.
Douglas A. Wolfe (1974) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: