Client, server based statistical computing

In today’s world, many statistical questions require the use of computationalassistance. Our approach, presented in this thesis, combines the possibilities of the powerful statistical software environment XploRe, with the advantagesof 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. It also shows applications, in whichthis architecture has already been integrated.