  We introduce a new quality measure to assess randomized low-discrepancy point
sets of finite size $n$. This new quality measure, which we call "pairwise
sampling dependence index", is based on the concept of negative dependence. A
negative value for this index implies that the corresponding point set
integrates the indicator function of any unanchored box with smaller variance
than the Monte Carlo method. We show that scrambled $(0,m,s)-$nets have a
negative pairwise sampling dependence index. We also illustrate through an
example that randomizing via a digital shift instead of scrambling may yield a
positive pairwise sampling dependence index.
