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|Title:||Statistical analysis of geotechnical data|
Baecher, Gregory B.
|Publisher:||Geotechnical Laboratory (U.S.)|
Engineer Research and Development Center (U.S.)
|Series/Report no.:||Contract report (U.S. Army Engineer Waterways Experiment Station) ; GL-87-1.|
Abstract: A tutorial introduction to practical techniques of statistical data analysis for geotechnical engineering; the intended audience is the practicing geotechnical engineer with little or no background in statistics. The approach summarizes soil parameters by two numbers: a best estimate and a measure of uncertainty. Uncertainties in soil parameter estimates of four types are considered : (A.) variability in the soil deposit, (B.) random measurement error, (C.) measurement bias, and (D.) limited numbers of tests. The first two cause data scatter. The second two cause systematic error. A procedure is developed to assess each source individually and then to combine them into a statistical soil profile. The statistical profile shows the best estimate of soil properties with depth and uncertainty envelopes about that profile. The statistical design profile is the first step in error analysis, as described in the accompanying report, "Error Analysis for Geotechnical Engineering."
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