Yang, Jianfeng; Sun, Fasheng; Lin, Dennis K.J.; Liu, … - In: Statistics & Probability Letters 80 (2010) 19-20, pp. 1467-1471
Discrepancy is an important criterion for uniformity in the design of experiments. Basically, it measures the distance between two functions: the empirical distribution of the design points and the theoretical uniform distribution function. This paper studies the properties of uniformity when...
