Reliability-based stability analysis and risk assessment for rock slides of Ramnefjell

Uncertainty analysis in fragility assessment of reinforced concrete frames designed for regions of low-to-moderate seismicity Çelik, Ozan Cem (2007-12-01)
Estimation and hypothesis testing in multivariate linear regression models under non normality İslam, Muhammed Qamarul (Informa UK Limited, 2017-01-01) This paper discusses the problem of statistical inference in multivariate linear regression models when the errors involved are non normally distributed. We consider multivariate t-distribution, a fat-tailed distribution, for the errors as alternative to normal distribution. Such non normality is commonly observed in working with many data sets, e.g., financial data that are usually having excess kurtosis. This distribution has a number of applications in many other areas of research as well. We use modifie...
Inference for variance components in a mixed model for unbalanced split plot design Guven, B (Informa UK Limited, 2005-01-01) We consider the unbalanced split-plot design with the whole plot and the subplot effect from nonnormal universes. The three estimators for the whole plot effect variance component are obtained. An approximate test for significance of the whole plot effect variance component is presented.
Mutual information model selection algorithm for time series Akca, Elif; Yozgatlıgil, Ceylan (Informa UK Limited, 2020-09-01) Time series model selection has been widely studied in recent years. It is of importance to select the best model among candidate models proposed for a series in terms of explaining the procedure that governs the series and providing the most accurate forecast for the future observations. In this study, it is aimed to create an algorithm for order selection in Box-Jenkins models that combines penalized natural logarithm of mutual information among the original series and predictions coming from each candida...
Regression analysis with a dtochastic design variable Sazak, HS; Tiku, ML; İslam, Muhammed Qamarul (Wiley, 2006-04-01) In regression models, the design variable has primarily been treated as a nonstochastic variable. In numerous situations, however, the design variable is stochastic. The estimation and hypothesis testing problems in such situations are considered. Real life examples are given.

Citation Formats

H. S. B. Duezguen and E. Grimstad, “Reliability-based stability analysis and risk assessment for rock slides of Ramnefjell,” 2007, p. 189, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/66107.