Modelling and Simulation: An Overview
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The papers in this special issue of Mathematics and Computers in Simulation cover the following topics: improving judgmental adjustment of model-based forecasts, whether forecast updates are progressive on a constrained mixture vector auto regressive model, whether all estimators are born equal: the empirical properties of some estimators of long memory, characterising trader manipulation in a limit-order driven market, measuring bias in a term-structure model of commodity prices through the comparison of simultaneous and sequential estimation, modelling tail credit risk using transition matrices, evaluation of the DPC-based inclusive payment system in Japan for cataract operations by a new model, the matching of lead under writers and issuing firms in the Japanese corporate bond market, stochastic life table forecasting: a time-simultaneous fan chart application, adaptive survey designs for sampling rare and clustered populations, income distribution inequality, globalization, and innovation: a general equilibrium simulation, whether exchange rates affect consumer prices: a comparative analysis for Australia, China and India, the impacts of exchange rates on Australia’s domestic and outbound travel markets, clean development mechanism in China: regional distribution and prospects, design and implementation of a Web-based ground water data management system, the impact of serial correlation on testing for structural change in binary choice model: Monte Carlo evidence, and coercive journal self citations, impact factor, journal influence and article influence.
This issue of Mathematics and Computers in Simulation contains: Selected Papers of the MSSANZ 19th Biennial Conference on Modelling and Simulation, Perth, Australia, 2011.
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LUCICAT Model as a river flow forecasting tool: an experiment with Fitzroy River catchment of Western AustraliaIslam, S.A.; Anwar, Faisal; Ezzy, G.; Bari, M. (2013)Early warnings of river flow, particularly high flow, allow individuals, communities and industries to respond in an appropriate manner to reduce the probability of suffering, personal injury, death and economic loss. To ...
Schwartz, Z.; Uysal, Muzaffer; Webb, T.; Altin, M. (2016)Purpose – This paper aims to improve the accuracy of hotel daily occupancy forecasts – an essential element in the revenue management cycle – by proposing and testing a novel approach. The authors add the hotel competitive-set’s ...
Hourly runoff forecasting for flood risk management: Application of various computational intelligence modelsBadrzadeh, H.; Sarukkalige, Priyantha Ranjan; Jayawardena, A. (2015)© 2015 Elsevier B.V. Reliable river flow forecasts play a key role in flood risk mitigation. Among different approaches of river flow forecasting, data driven approaches have become increasingly popular in recent years ...