ORCID Profile
0000-0002-7690-1097
Current Organisations
Curtin University of Technology
,
Curtin University
,
University of Western Australia
,
Flinders University
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Publisher: Hindawi Limited
Date: 2003
DOI: 10.1155/S1173912603000129
Abstract: In the past decade there has been strong interest in the special needs of overseas students attending Australian universities, with respect to teaching and learning. This paper reports on three action research studies that address the question of whether such issues remain in the teaching and learning of statistics in particular.
Publisher: Frontiers Media SA
Date: 31-05-2022
DOI: 10.3389/FMARS.2022.875259
Abstract: Droughts in many regions of the world are increasing in frequency and severity which, coupled with effects from anthropogenic water extraction and ersion, are reducing river discharges. Yet to date, few studies have investigated the impacts of hydrological droughts (i.e., reduced river outflows to the ocean) on seabirds. Here, we examined the consequences of the “Millennium Drought” on the local decline of an iconic Australian seabird, the little penguin ( Eudyptula minor ). We analysed monthly and annual penguin numbers in relation to river outflow, rainfall, the characteristics of the coastal waters (sea surface temperatures and chlorophyll- a concentrations), and local abundance of key predators and prey species. We found a negative association between monthly penguin numbers and both sea surface temperatures and river outflow. Annual penguin numbers were positively associated with southern garfish numbers (our local indicator of food availability) but negatively associated with annual chlorophyll- a concentrations. Our findings emphasizing the need for further research into the effect of hydrological droughts on seabird populations and for improved river management that account for potential downstream impacts on the coastal environment receiving freshwater from rivers.
Publisher: Springer Science and Business Media LLC
Date: 08-11-2018
Publisher: IEEE
Date: 10-12-2020
Publisher: Informa UK Limited
Date: 10-09-2018
Publisher: Springer Science and Business Media LLC
Date: 30-09-2022
DOI: 10.1007/S00362-022-01360-6
Abstract: The main aim of this paper is to present a Bayesian analysis of Multivariate GARCH( l , m ) (M-GARCH) models including estimation of the coefficient parameters as well as the model order, by combining a set of existing MCMC algorithms in the literature. The proposed algorithm focuses on the BEKK formulation of the multivariate GARCH model. The estimation procedure will be designed as a custom MCMC with embedded Reversible Jump MCMC (RJMCMC) and Delayed Rejection Metropolis-Hastings (DRMH) steps implemented using the statistical software R. The RJMCMC steps allow three variants of BEKK models (constant, diagonal and full) to be indexed and this index included as a parameter to be estimated. The proposed MCMC algorithms are validated using extensive simulation experiments followed by a case study using bivariate data derived from the daily share prices for BHP Group Limited, Rio Tinto Group, and Fortescue Metals Group Limited on the ASX over from September 2013 to December 2021.
Publisher: Wiley
Date: 26-12-2019
DOI: 10.1002/ENV.2615
Publisher: Informa UK Limited
Date: 29-06-2017
Publisher: Wiley
Date: 09-2005
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 02-2015
Publisher: Elsevier BV
Date: 03-2008
Publisher: Informa UK Limited
Date: 22-05-2012
Publisher: MDPI AG
Date: 04-05-2022
DOI: 10.3390/COMPUTATION10050071
Abstract: Dependence in meta-analytic models can happen due to the same collected data or from the same researchers. The hierarchical Bayesian linear model in a meta-analysis that allows dependence in effect sizes is investigated in this paper. The interested parameters on the hierarchical Bayesian linear dependence (HBLD) model which was developed using the Bayesian techniques will then be estimated. The joint posterior distribution of all parameters for the hierarchical Bayesian linear dependence (HBLD) model is obtained by applying the Gibbs s ling algorithm. Furthermore, in order to measure the robustness of the HBLD model, the sensitivity analysis is conducted using a different prior distribution on the model. This is carried out by applying the Metropolis within the Gibbs algorithm. The simulation study is performed for the estimation of all parameters in the model. The results show that the obtained estimated parameters are close to the true parameters, indicating the consistency of the parameters for the model. The model is also not sensitive because of the changing prior distribution which shows the robustness of the model. A case study, to assess the effects of native-language vocabulary aids on second language reading, is conducted successfully in testing the parameters of the models.
Publisher: Informa UK Limited
Date: 04-03-2017
Publisher: Informa UK Limited
Date: 09-11-2018
Publisher: Elsevier BV
Date: 10-2001
Publisher: Springer Science and Business Media LLC
Date: 03-2008
Publisher: Elsevier BV
Date: 09-2020
Publisher: Elsevier BV
Date: 02-2015
DOI: 10.1016/J.COMPBIOMED.2014.12.006
Abstract: Nasogastric tube (NGT) placement is a common clinical procedure where a plastic tube is inserted into the stomach through the nostril for feeding or drainage. However, the placement is a blind process in which the tube may be mistakenly inserted into other locations, leading to unexpected complications or fatal incidents. The placement techniques are conventionally acquired by practising on unrealistic rubber mannequins or on humans. In this paper, a virtual reality based training simulation system is proposed to facilitate the training of NGT placement. It focuses on the simulation of tube insertion and the rendering of the feedback forces with a haptic device. A hybrid force model is developed to compute the forces analytically or numerically under different conditions, including the situations when the patient is swallowing or when the tube is buckled at the nostril. To ensure real-time interactive simulations, an offline simulation approach is adopted to obtain the relationship between the insertion depth and insertion force using a non-linear finite element method. The offline dataset is then used to generate real-time feedback forces by interpolation. The virtual training process is logged quantitatively with metrics that can be used for assessing objective performance and tracking progress. The system has been evaluated by nursing professionals. They found that the haptic feeling produced by the simulated forces is similar to their experience during real NGT insertion. The proposed system provides a new educational tool to enhance conventional training in NGT placement.
Publisher: Institute of Mathematical Statistics
Date: 2010
DOI: 10.1214/09-EJS527
Publisher: Informa UK Limited
Date: 10-10-2016
Publisher: MDPI AG
Date: 04-02-2017
Publisher: Walter de Gruyter GmbH
Date: 22-02-2020
Publisher: Bentham Science Publishers Ltd.
Date: 07-03-2016
No related grants have been discovered for Darfiana Nur.