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Statistical computing provides the link between statistical theory and applied statistics. As at previous COMPSTAT volumes, the content of the book covers all aspects of this link, from the development and implementation of new statistical ideas to user experiences and software evaluation. The proceedings should appeal to anyone working in statistics and using computers, whether in universities, industrial companies, government agencies, research institutes or as software developers.

This volume collects authoritative contributions on analytical methods and mathematical statistics. The selected, peer-reviewed contributions were originally presented at the workshop on Analytical Methods in Statistics, AMISTAT 2015, held in Prague, Czech Republic, November 10-13, 2015.

This volume contains complete texts of a series of lectures presented at a summer school on the subject, held at Charles University, Prague, in July 1991. The contributors cover the problems of change point detection, stochastic approximation, multiple hypotheses testing and many other topics.