Monte Carlo Simulation (MCS) method has been widely used in probabilistic analysis of slope stability, and it provides a robust and simple way to assess failure probability. However, MCS method does not offer insight into the relative contributions of various uncertainties (e.g., inherent spatial va
Back analysis of slope failure with Markov chain Monte Carlo simulation
β Scribed by L.L. Zhang; J. Zhang; L.M. Zhang; W.H. Tang
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 467 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0266-352X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract Although extended pedigrees are often sampled through probands with extreme levels of a quantitative trait, Markov chain Monte Carlo (MCMC) methods for segregation and linkage analysis have not been able to perform ascertainment corrections. Further, the extent to which ascertainment of
## Abstract In this paper, the basic principle and a Monte Carlo method are described for numerically simulating the chainβlength distribution in radical polymerization with transfer reaction to monomer. The agreement between the simulated and analytical results shows that our algorithm is suitable
## Abstract A Bayesian modeling and Markov Chain Monte Carlo simulation was developed for a kinetic study of homopolymerization and copolymerization systems at the molecular scale. Two copolymerization models β the terminal unit model and the penultimate unit model β were considered. Prior estimate