Compstat [electronic resource] : Proceedings in Computational Statistics 11th Symposium held in Vienna, Austria, 1994 /

This book assembles papers which were presented at the biennial sympo­ sium in Computational Statistics held und er the a!uspices of the International Association for Statistical Computing (IASC), a section of ISI, the Interna­ tional Statistical Institute. This symposium named COMPSTAT '94 was organized by the Statistical Institutes of the University of Vienna and the University of Technology of Vienna, Austria. The series of COMPSTAT Symposia started 1974 in Vienna. Mean­ while they took place every other year in Berlin (Germany, 1976), Leiden (The Netherlands, 1978), Edinburgh (Great Britain, 1980), Toulouse (France, 1982), Prague (Czechoslovakia, 1984), Rom (Italy, 1986), Copenhagen (Den­ mark, 1988), Dubrovnik (Yugoslavia, 1990) and Neuchätel (Switzerland, 1992). This year we are celebrating the 20th anniversary in Vienna, Austria. It has obviously been observed a movement from "traditional" computa­ tional statistics with emphasis on methods which produce results quickly and reliably, to computationally intensive methods like resampling procedures, Bayesian methods, dynamic graphics, to very recent areas like neural net­ works, accentuation on spatial statistics, huge data sets, analysis strategies, etc. For the organization of the symposium, new guidelines worked out by the IASC in written form were in effect this time. The goal was to refresh somehow the spirit of the start of COMPSTAT '74, keep the tradition of the series and ensure a certain continuity in the sequence of biannual meetings.

Bibliographic Details

Main Authors:	Dutter, Rudolf. editor., Grossmann, Wilfried. editor., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Heidelberg : Physica-Verlag HD : Imprint: Physica, 1994
Subjects:	Information technology., Business, Probabilities., Statistics., Economic theory., Economics., Economic Theory/Quantitative Economics/Mathematical Methods., IT in Business., Probability Theory and Stochastic Processes., Statistics, general.,
Online Access:	http://dx.doi.org/10.1007/978-3-642-52463-9
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