Abstract
In the environment of e-stat, a learning software for statistical methods, we develop a scenario for statistics in chemical engineering. In this scenario, data analysis methods and design of experiments are applied to the optimisation of the styren process. According to Moore (1997), learning by means of individual action is the most important new model of pedagogy. In particular, the combination of statistical content, learning in realistic data situations, and the use of multimedia with various interaction facilities supports effective and modern learning best. All these concepts are realised in the presented scenario utilising modern internet technology.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bergsten, H. (1999). An Introduction to Java Servlets. [Online] available URL: http://www.webdevelopersjournal.com/articles/intro_to_servlets.html(20.02.2002)
Conolly, D. (updated 1999). Common Gateway interface. [Online] available URL: http://www.w3.org/CGI/(20.02.2002)
Kamps, U., Cramer, K., Ralf, C. & Kopp, T. (updated 2002). e-stat.[Online] available URL:http://www.emilea.de/(20.02.2002)
Meadows, D. H., Meadows, D. L., Randers, J. & Behrens III., W. W. (1972). The Limits to Growth: A Report to The Club of Rome. Club of Rome.
Moore, D. S. (1997). New Pedagogy and New Content: The Case of Statistics. Int. Stat. Rev., 65, 2, 123–165.
Sun Microsystems, Inc. (updated 2002). Java Servlet Technology. [Online] available URL:http://java.sun.com/products/servlet/index.html(20.02.2002)
Weihs, C., Jessenberger, J. (1999). Statistische Methoden zur Qualitätssicherung und -optimierung. Wiley-VCH, Weinheim
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Weihs, C., Kappler, M. (2002). e-stat: Development of a Scenario for Statistics in Chemical Engineering. In: Härdle, W., Rönz, B. (eds) Compstat. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57489-4_47
Download citation
DOI: https://doi.org/10.1007/978-3-642-57489-4_47
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1517-7
Online ISBN: 978-3-642-57489-4
eBook Packages: Springer Book Archive