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Statistical Implications of Limited Field Data
For reasons of economics and tradition, geotechnical engineers obtain a limited number of data points for most parameters. Well known results from the theory of statistics indicate that uncertainties associated with the small number of points place severe limits on the inferences that can be drawn from the data. This has implications for the design of field instrumentation programs and for the use of field data in verifying computational models. A model of the strength of mine pillars, based on actual data but simplified for present purposes, illustrates the effects.
Statistical Implications of Limited Field Data
For reasons of economics and tradition, geotechnical engineers obtain a limited number of data points for most parameters. Well known results from the theory of statistics indicate that uncertainties associated with the small number of points place severe limits on the inferences that can be drawn from the data. This has implications for the design of field instrumentation programs and for the use of field data in verifying computational models. A model of the strength of mine pillars, based on actual data but simplified for present purposes, illustrates the effects.
Statistical Implications of Limited Field Data
Christian, John T. (Autor:in)
Specialty Conference on Performance Confirmation of Constructed Geotechnical Facilities ; 2000 ; Amherst, Massachusetts, United States
03.04.2000
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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