Arbeitspapier

Yxilon: Designing The Next Generation, Vertically Integrable Statistical Software Environment

Modern statistical computing requires smooth integration of new algorithms and quantitative analysis results in all sorts of platforms such as webbrowsers, standard and proprietary application software. Common statistical software packages can often not be adapted to integrate into new environments or simply lack the demands users and especially beginners have. With Yxilon we propose a vertically integrable, modular statistical computing environment, providing the user a rich set of methods and a diversity of different interfaces, including command-line interface, web clients and interactive examples in electronic books. This architecture allows the users to rely upon only one environment in order to organize data from a variety of sources, analyse them and visualize or export the results to other software programs. The design of Yxilon is inspired by XploRe, a statistical environment developed by MD*Tech and Humboldt-Universität zu Berlin. Yxilon incorporates several ideas from recent developments and design principles in software engineering: modular plug-in architecture, platform independence, and separation of user interfaces and computing engine.

Sprache
Englisch

Erschienen in
Series: Papers ; No. 2004,40

Klassifikation
Wirtschaft
Thema
Java
Client/Server
XploRe
Yxilon
electronic publishing
e-books

Ereignis
Geistige Schöpfung
(wer)
Ziegenhagen, Uwe
Klinke, Sigbert
Härdle, Wolfgang Karl
Ereignis
Veröffentlichung
(wer)
Humboldt-Universität zu Berlin, Center for Applied Statistics and Economics (CASE)
(wo)
Berlin
(wann)
2004

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Ziegenhagen, Uwe
  • Klinke, Sigbert
  • Härdle, Wolfgang Karl
  • Humboldt-Universität zu Berlin, Center for Applied Statistics and Economics (CASE)

Entstanden

  • 2004

Ähnliche Objekte (12)