摘要：Spearman’s footrule is a well known measure of disarray for ranked data that recently has found applications in many areas of research. Exact, computational, and asymptotic properties of the measure are discussed using a unified approach utilizing a Markovian property with an inherited martingale structure, extension to the partial rankings case is discussed. A method allowing the generation of weighted versions is introduced, and asymptotic normality is established.P/1
关键词：Asymptotic normality · Markov chain · Martingale · Partial rankings;· Top list · Weighted measure of correlation.
