https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Hamiltonian cycles and subsets of discounted occupational measures https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37349 Wed 14 Oct 2020 14:22:17 AEDT ]]> Whey reverse logistics network design: a stochastic hierarchical facility location model https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34232 Wed 04 Sep 2019 12:17:21 AEST ]]> Demand forecasting in the presence of systematic events: cases in capturing sales promotions https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39115 Tue 05 Sep 2023 14:02:44 AEST ]]> An analytical bound on the fleet size in vehicle routing problems: a dynamic programming approach https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37551 Thu 24 Aug 2023 13:15:59 AEST ]]> A new approach to select the best subset of predictors in linear regression modelling: bi-objective mixed integer linear programming https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34844 Thu 16 May 2019 16:56:51 AEST ]]> On transition matrices of Markov chains corresponding to Hamiltonian cycles https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25648 Sat 24 Mar 2018 07:28:07 AEDT ]]> Tactical supply chain planning under a carbon tax policy scheme: a case study https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27062 Sat 24 Mar 2018 07:25:21 AEDT ]]> A tradeoff model for green supply chain planning: a leanness-versus-greenness analysis https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24792 Sat 24 Mar 2018 07:14:05 AEDT ]]> Fisher information for a partially observable simple birth process https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23848 n observations. We suppose that at each observation time, each individual in the population can be observed independently with known fixed probability p. Finding an analytical form of the Fisher Information in general appears intractable. Nonetheless, we find a very good approximation for the Fisher Information by exploiting the probabilistic properties of the underlying stochastic process. Both numerical and theoretical results strongly support the latter approximation and confirm its high level of accuracy.]]> Sat 24 Mar 2018 07:12:12 AEDT ]]> LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48254 Sat 11 Mar 2023 12:50:44 AEDT ]]> Modeling the dynamics of the COVID-19 population in Australia: a probabilistic analysis https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37503 Fri 22 Jan 2021 14:53:20 AEDT ]]> Planning of complex supply chains: A performance comparison of three meta-heuristic algorithms https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35926 Fri 17 Jan 2020 10:46:08 AEDT ]]> The Importance of Environmental Factors in Forecasting Australian Power Demand https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45755 Fri 04 Nov 2022 10:47:56 AEDT ]]>