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This book is a collection of thirty invited papers, covering the
important parts of a rapidly developing area like "computational
statistics." All contributions supply information about a
specialized topic in a tutorial and comprehensive style. Newest
results and developments are discussed. Starting with the
foundations of computational statistics, i.e. numerical reliability
of software packages or construction principles for pseudorandom
number generators, the volume includes design considerations on
statistical programming languages and the basic issues of
resampling techniques. Also covered are areas like design of
experiments, graphical techniques, modelling and testing problems,
a review of clustering algorithms, and concise discussions of
regression trees or cognitive aspects of authoring systems.
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