Abstract
With the availability of the net a new generation of computing environments has to be designed for a large scale of statistical tasks ranging from data analysis to highly interactive operations. It must combine the flexibility of multi window desktops with standard operations and interactive user driven actions. It must be equally well suited for first year students and for high demanding researchers. Its design must has various degrees of flexibility that allow to address different levels of user groups. We present here some ideas how a new generation of a computing environment can be used as a student front end tool for teaching elementary statistics as well as a research device for highly computer intensive tasks, e.g. for semiparametric analysis and bootstrapping.
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
Becker, R. A., Chambers, J. C. & Wilks, A. R. (1988). The new S language: a programming environment for data analysis and graphics, Wadsworth and Brooks/Cole Advanced Books and Software, Pacific Grove, CA.
Bowman, A. & Robinson, D. (1989). C.I.T.: Introduction to statistics, Software, IOP Publishing Ltd.
Bowman, A. & Robinson, D. (1990). C.I.T.: Regression & Anova, Software, IOP Publishing Ltd.
Biining, H. (1983). Adaptive distribution-free test (german), Statistische Hefte pp. 47–67.
Chen, R., Härdle, W., Linton, O. & Severance-Lossin, E. (1996). Nonparametric estimation of additive separable regression models, in W. Härdle &; M. Schimek (eds), Statistical Theory and Computational Aspects of Smoothing, Physika Verlag Heidelberg.
Fan, J. & Gijbels, I. (1996). Local Polynomial Modeling and Its Application-Theory and Methodologies, Chapman Sz Hall.
Flury, B. & Riedwyl, H. (1981). Graphical representation of multivariate data by means of asymmetrical faces, Journal of the American Statistical Association 76(376): 757–765.
Härdle, W. (1988). XploRe — a Computing Environment for eXploratory Regression and density smoothing, Statistical Software Newsletters 14: 113–119.
Härdle, W., Klinke, S. & Turlach, B. (1995). XploRe-an Interactive Statistical Computing Environment, Springer, Heidelberg.
Härdle, W. & Scott, D. (1992). Smoothing in low and high dimensions by weighted averaging using rounded points, Computational Statistics pp. 97–128.
Hüttner, J., Wandke, H. & Rätz, A. (1995). Benutzerfreundliche Software, Bernd-Michael Paschke Verlag Berlin 1995, Berlin.
ISP (1987). ISP is a program for PCs available from Artemis Systems Inc.
Jones, M. & Sibson, R. (1987). What is projection pursuit?, Journal of the Royal Statistical Society A 150: 1–36.
Katkovnik, V. (1985). Nonparametric identification and data smoothing: local approximation approach in (in Russian), Nauka, Moscow.
Katkovnik, V. Y. (1979). Linear and nonlinear methods for nonparametric regression analysis (in russian), Avtomatika i Telemehanika pp. 35–46.
Katkovnik, V. Y. (1983). Convergence of the linear and nonlinear nonparametric kernel estimates (in russian), Avtomatika i Telemehanika pp. 108–20.
Klinke, S. (1995). Data Structures in Computational Statistics, PhD thesis, Institute of statistics, Catholic university of Louvain.
Proenca, I. (1995). Interactive graphics for teaching simple statistics, XploRe — an interactive statistical computing environment, Springer, pp. 113–140.
Schneider, S (1988). See Becker, Chambers and Wilks, (1988).
Schneider, B. (1994). Querleser — Zerstreutheit mit System: Skip-Listen, c’t 2: 204–207.
Stuetzle, W. (1987). Plot windows, Journal of the American Statistical Association 82(398): 466–475.
Velleman, P. (1992). Data Desk, Data Description, Ithaca NY.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1996 Physica-Verlag Heidelberg
About this paper
Cite this paper
Schmelzer, S., Kötter, T., Klinke, S., Härdle, W. (1996). A New Generation of a Statistical Computing Environment on the Net. In: Prat, A. (eds) COMPSTAT. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-46992-3_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-46992-3_12
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-7908-0953-4
Online ISBN: 978-3-642-46992-3
eBook Packages: Springer Book Archive