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Articles 1 - 6 of 6
Full-Text Articles in Science and Technology Studies
Effect Of Suction History On The Small Strain Response Of A Dynamically Compacted Soil, Ana Heitor, Buddhima Indraratna, Cholachat Rujikiatkamjorn
Effect Of Suction History On The Small Strain Response Of A Dynamically Compacted Soil, Ana Heitor, Buddhima Indraratna, Cholachat Rujikiatkamjorn
Ana Heitor
The small strain behaviour is a key indicator for assessing the performance of compacted fills. Compaction conditions i.e. initial moisture content and applied energy, govern compaction effectiveness and, thus, the structure and matric suction of compacted soil. During their service life, most earth structures experience changes in hydraulic behaviour owing to climatic changes. While the results of previous research studies indicate that the effect of changes in suction on the dynamic response is significant, only limited research has been engaged in the assessment of the effect of post-compacted changes in suction induced by periods of intensive precipitation (i.e. wetting) and …
Greenland Ice Sheet Mass Balance Reconstruction. Part I: Net Snow Accumulation (1600-2009), Jason E. Box, Noel Cressie, David H. Bromwich, Ji-Hoon Jung, Michiel Van Den Broeke, J H. Van Angelen, Richard R. Forster, Clement Miege, Ellen Mosley-Thompson, Bo Vinther, Joseph R. Mcconnell
Greenland Ice Sheet Mass Balance Reconstruction. Part I: Net Snow Accumulation (1600-2009), Jason E. Box, Noel Cressie, David H. Bromwich, Ji-Hoon Jung, Michiel Van Den Broeke, J H. Van Angelen, Richard R. Forster, Clement Miege, Ellen Mosley-Thompson, Bo Vinther, Joseph R. Mcconnell
Professor Noel Cressie
Ice core data are combined with RACMO2 regional climate model (RCM) output (1958-2010) to develop a reconstruction of the Greenland ice sheet net snow accumulation rate (Ât(G)) spanning years 1600-2009. Regression parameters from RCM output regressed on 86 ice cores are used with available cores in a given year resulting in the reconstructed values. Each core site’s residual variance is used to inversely weight the cores’ respective contributions. The interannual amplitude of the reconstructed accumulation rate is damped by the regressions and is thus calibrated to match that of the RCM data. Uncertainty and significance of changes is measured using …
Figures Of Merit For Simultaneous Inference And Comparisons In Simulation Experiments, Noel A. Cressie, Sandy Burden
Figures Of Merit For Simultaneous Inference And Comparisons In Simulation Experiments, Noel A. Cressie, Sandy Burden
Professor Noel Cressie
2015 John Wiley & Sons, Ltd. This article considers the traditional figures of merit, namely, bias and mean squared (prediction) error, which are typically used to evaluate simulation experiments. We propose functions of them that account for different variables' units; these alternative figures of merit are closely tied to simultaneous multivariate inference on an unknown parameter vector or unknown state vector. Their usefulness is illustrated in a simulation experiment, where the goal is to determine the statistical properties associated with prediction of a multivariate state.
Bayesian Learning And Predictability In A Stochastic Nonlinear Dynamical Model, John Parslow, Noel Cressie, Edward P. Campbell, Emlyn Jones, Lawrence Murray
Bayesian Learning And Predictability In A Stochastic Nonlinear Dynamical Model, John Parslow, Noel Cressie, Edward P. Campbell, Emlyn Jones, Lawrence Murray
Professor Noel Cressie
Bayesian inference methods are applied within a Bayesian hierarchical modelling framework to the problems of joint state and parameter estimation, and of state forecasting. We explore and demonstrate the ideas in the context of a simple nonlinear marine biogeochemical model. A novel approach is proposed to the formulation of the stochastic process model, in which ecophysiological properties of plankton communities are represented by autoregressive stochastic processes. This approach captures the effects of changes in plankton communities over time, and it allows the incorporation of literature metadata on individual species into prior distributions for process model parameters. The approach is applied …
Comment On Article By Ferreira And Gamerman, Noel A. Cressie, Raymond L. Chambers
Comment On Article By Ferreira And Gamerman, Noel A. Cressie, Raymond L. Chambers
Professor Noel Cressie
A utility-function approach to optimal spatial sampling design is a powerful way to quantify what "optimality" means. The emphasis then should be to capture all possible contributions to utility, including scientific impact and the cost of sampling. The resulting sampling plan should contain a component of designed randomness that would allow for a non-parametric design-based analysis if model-based assumptions were in doubt.
The Digital Dionysus: Nietzsche & The Network-Centric Condition
The Digital Dionysus: Nietzsche & The Network-Centric Condition
Dan Mellamphy
No abstract provided.