Estimating the standard deviation of soil properties with limited samples through the Bayesian approach
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| 003 | CHVBK | ||
| 005 | 20210128100204.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150201xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s10064-014-0609-5 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s10064-014-0609-5 | ||
| 245 | 0 | 0 | |a Estimating the standard deviation of soil properties with limited samples through the Bayesian approach |h [Elektronische Daten] |c [J. Wang, Yun Xu] |
| 520 | 3 | |a Characterizing the standard deviation of soil properties is important to a geotechnical probabilistic analysis, and the task is usually achieved with sufficient samples. However, sometimes soil samples or soil tests in a project could be limited (e.g., only one sample), making classical statistics approaches less applicable to the estimating. In this technical note, we introduce a new Bayesian algorithm to estimate the standard deviation of soil properties, using limited project-specific samples along with relevant prior information from the literature. In addition to the methodology, a few demonstrations are also given in the paper, to re-evaluate the standard deviation of soil properties with the new algorithm. Like many Bayesian algorithms, the new application could be useful for site characterizations when samples are limited. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a The Bayesian approach |2 nationallicence | |
| 690 | 7 | |a Standard deviation |2 nationallicence | |
| 690 | 7 | |a Soil properties |2 nationallicence | |
| 690 | 7 | |a Limited samples |2 nationallicence | |
| 700 | 1 | |a Wang |D J. |u Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong |4 aut | |
| 700 | 1 | |a Xu |D Yun |u Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong |4 aut | |
| 773 | 0 | |t Bulletin of Engineering Geology and the Environment |d Springer Berlin Heidelberg |g 74/1(2015-02-01), 271-278 |x 1435-9529 |q 74:1<271 |1 2015 |2 74 |o 10064 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s10064-014-0609-5 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s10064-014-0609-5 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Wang |D J. |u Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Xu |D Yun |u Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Bulletin of Engineering Geology and the Environment |d Springer Berlin Heidelberg |g 74/1(2015-02-01), 271-278 |x 1435-9529 |q 74:1<271 |1 2015 |2 74 |o 10064 | ||