For several decades Statistical Review has enjoyed a great reputation in the scientist community and has played a for-mative role in the development of statistics and related fields. The periodical is addressed to and widely read and respected by a wide audience of researchers, teachers, students and practitioners of statistics, econometrics, operations research, mathematical economics and related fields. Along with reviewed scientific articles, the quarterly publishes also reports from conferences and scientific se-minars, book reviews and profiles of prominent academics. The quarterly is the leading source of information about theoretical and empirical results in econometrics and statistics. It is also helpful for university teaching, especially at the master and doctoral level.