Summary
Using large data bases and computer aided technologies (CA Analysis, CA Interpretation, ADA, EDA) creates the need for more sophisticated and faster accessible statistical models and methods. One possible solution is to organize them in the same way as it proved to be succesful with the data. This can be done in different variants, e. g. as a special part of existing data banks or as seperate MMB either on the meta level or containing the real models and methods.
MMB are expected to ease the acces to models and methods in all phases of statistical analysis so helping the end user to analyze large data sets faster, more reliable and more complex. They are computerized tools using modern information processing technologies.
The paper describes the steps to organize MMB and the use of them which could lead to knowledge bases as part of expert systems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bibby, J. (1984) EDA and large-scale data sets — an example from the British new earning survey, Eurostat News, Special number 1984, p. 165–168
Cable, D., McKay, E. and Rowe, B. (1985) Software for statistical and survey analysis, prepared for the Study Group on Computers in Survey Analysis
Daudin, J. J. Tomassone, R. and Trescourt, P. (1984) Large-scale survey analysis, Eurostat News, Special number 1985, p. 189–202
Dekker, A. L. (1984) Comparing Statistical Software packages on tabulation efficiency COMPSTAT 1984, p. 317–322
Dörney, J. (1985) From dialogue systems to expert systems/Conception for application of AI in statistical information management ISI 1985, Contributed Papers, Book 2, p. 573–574
Francis, I. (1981) Statistical Software/A comparative review, North Holland 1981
Gale, W. A. an Pregibon, D. (1984), Constructing an expert system for data analysis by working examples, COMPSTAT 1984, S. 227–236
Molenaar, I. W. and Broersma, H. (1984), Interpretation of Statistical software output: some behavioral studies, COMPSTAT 1984, p. 341–346
Neider, J. A. (1984), The role of models in official statistics, Eurostat News, Special number 1984, p. 15–22
Neumann, K. (1984), Metainformation as a tool for integration, COMPSTAT 1984, p. 273–278
Neumann, K. (1985), Computer aided interpretation of official statistics — Trends in the GDR, ISI 1985, Contributed Papers, Book 1, p. 327–328
Pregibon, D. and Gale, W. A. (1984), REX: an expert systems for regression analysis, COMPSTAT 1984, p. 242–248
Sint, P. (1984), Roots of computational statistics, COMPSTAT 1984, p. 9–20
Sundgren, B. (1973), An infological approach to data bases (Urval nr. 7), Stockholm 1973
Sundgren, B. (1984), Conceptual design of data bases and information systems, Stockholm 1984
Sundgren, B. (1985 a), How to satisfy a statistical agency’s need for general survey processing programs, ISI 1985
Sundgren, B. (1985 b), Statistical information systems design, Statistical Journal of the United Nations ECE, 3(1985), p. 175–184.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1986 Physica-Verlag, Heidelberg for IASC (International Association for Statistical Computing)
About this paper
Cite this paper
Neumann, K. (1986). Model- and Method Banks (MMB) as a Supplement to Statistical Data Banks. In: De Antoni, F., Lauro, N., Rizzi, A. (eds) COMPSTAT. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-46890-2_66
Download citation
DOI: https://doi.org/10.1007/978-3-642-46890-2_66
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-7908-0355-6
Online ISBN: 978-3-642-46890-2
eBook Packages: Springer Book Archive