Client, server based statistical computing [Elektronische Ressource] / von Heiko Lehmann

Client/Server Based Statistical ComputingD I S S E R T A T I O Nzur Erlangung des akademischen Gradesdoctor rerum politicarum(dr. rer. pol.)¨im Fach Statistik und Okonometrieeingereicht an derWirtschaftswissenschaftliche Fakult¨atHumboldt-Universit¨at zu BerlinvonHerr Dipl.-Kfm. Heiko Lehmanngeboren am 26.06.1970 in BerlinPr¨asident der Humboldt-Universit¨at zu Berlin:Prof. Dr. Jur¨ gen MlynekDekan der Wirtschaftswissenschaftliche Fakult¨at:Prof. Michael C. Burda, Ph.D.Gutachter:1. Prof. Dr. Wolfgang H¨ardle2. Prof. Oliver Gun¨ ther, Ph.D.eingereicht am: 02. April 2004Tag der mundlic¨ hen Prufung:¨ 12. Mai 2004iiAbstractIn today’s world, many statistical questions require the use of computationalassistance. Our approach, presented in this thesis, combines the possibilitiesofthepowerfulstatisticalsoftwareenvironmentXploRe, withtheadvantagesof distributed client/server applications, and the opportunities offered by theInternet. In order to offer the client access to a large community, the Javalanguage is used to implement the client’s functionalities. The result is astatistical package - usable via the World Wide Web - that can be used likea traditional statistical software package, but without the need for installingthe entire software package on the user’s computer.This thesis provides an overview of the desired software environment, andillustrates the general structure with the implementation of the XploReQuantlet Client/Server architecture.