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Browsing 01 Mathematical Sciences by Title

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  • Groen, Layna; Joseph, Anthony; Black, Eileen; Tam, Winsom; Gabor, Matthew; Lund, Marianne (Tsunami Society International, 2010)
    The present study determines the optimal location of detection components of a tsunami warning system in the Mediterranean region given the existing and planned infrastructure. Specifically, we examine the locations of ...
  • Lin, Yuanlie; Wu, Congbin; Kang, Boda (Zhongguo Kexue Zazhishe, 2003)
    Decision makers often face the need of performance guarantee with some sufficiently high probability. Such problems can be modelled using a discrete time Markov decision process (MDP) with a probability criterion for the ...
  • Tsirlin, Anatoly; Kazakov, Vladimir (Nova Science Publishers, 2007)
    In this paper we consider optimal trading processes in economic systems. The analysis is based on accounting for irreversibility factor using wealth function concept.
  • Burgess, Leonie; Street, Deborah (Taylor & Francis, 2006)
    Inthis paper, we establish the optimal size of the choice sets in generic choice experiments for asymmetric attributes when estimating main effects only. We give an upper bound for the determinant of the information matrix ...
  • Street, Deborah; Burgess, Leonie (Elsevier, 2004)
    Stated preference choice experiments are routinely used in many areas from marketing to medicine. While results on the optimal choice sets to present for the forsed choice setting have been determined in a variety of ...
  • Carmona, R; Fehr, M; Hinz, Juri (Siam Publications, 2009)
    To meet the targets of the Kyoto Protocol, the European Union established the European Emission Trading Scheme, a mandatory market for carbon emission allowances. This regulatory framework has introduced a market for ...
  • Groen, Layna; Botten, Lindsay; Blazek, Katerina (Inderscience, 2010)
    In the wake of the 2004 Boxing Day tsunami disaster, a global response to implement a tsunami warning system in the Indian Ocean became imperative. Steps in this direction were initiated in 2005 with plans for the deployment ...
  • Witte, Robert; Ryan, Louise; Schutt, Allan; Carbone, Paul; Engstrom, Paul (Springer, 1999)
    Seventy-three eligible, chemotherapy-naive, ambulatory patients with advanced pancreatic carcinoma were allocated to one of two treatment regimens: 35 received PALA (1250 mg/m2 daily ? 5 every 4 weeks) and 38 were given ...
  • Phat, V; Ha, Quang; Trinh, H (Springer Science+Business Media, 2010)
    This paper addresses the robust stabilization and H infinity control problem for a class of linear polytopic systems with continuously distributed delays. The control objective is to design a robust H infinity controller ...
  • Giokaris, Peter; Milthorpe, Bruce; Lord, Megan; Langtry, Tim (Austral.Mathematical Society, 2013)
    Fibronectin is a protein present in blood and the extracellular matrix which has important roles in cell adhesion and migration, wound healing and blood clotting. Three models of fibronectin adsorption, on various substrates ...
  • Padungtod, C; Niu, Tianhua; Wang, Zhaoxi; Savitz, David; Christiani, David; Ryan, Louise; Xu, Xiping (Wiley-Liss, Inc., 1999)
    Background Sei um paraoxonase has been associated with the metabolism of organophosphate pesticides in humans. Molecular analysis of the human paraoxonase gene (PON1) has revealed that Arg(192) homozygotes have a greater ...
  • Ha, Eunhee; Cho, Sung-Il; Chen, Dafang; Chen, Changzhong; Ryan, Louise; Smith, Thomas; Xu, Xiping; Christiani, David (Taylor and Francis Group, 2002)
    The authors investigated the association of birth weight with maternal and paternal exposure to organic solvents in 1,222 couples employed in a large petrochemical corporation in Beijing, China, during the period between ...
  • Kauermann, G.; Ormerod, John; Wand, Matt (Springer New York LLC, 2010)
    We devise a classification algorithm based on generalized linear mixed model (GLMM) technology. The algorithm incorporates spline smoothing, additive model-type structures and model selection. For reasons of speed we employ ...
  • Levy, J.; Houseman, E.; Ryan, Louise; Richardson, D.; Spengler, J. (Environmental Health Information Service, 2000)
    Although ambient particulate matter has been associated with a range of health outcomes, the health risks for individuals depend in part on their daily activities. Information about particle mass concentrations and size ...
  • Gao, Ya; Zhang, Guangquan; Lu, Jie; Wee, Hui-Ming (Springer New York LLC, 2011)
    With rapid technological innovation and strong competition in hi-tech industries such as computer and communication organizations, the upstream component price and the downstream product cost usually decline significantly ...
  • Leyendekkers, J; Shannon, Anthony (NNTM, 2012)
    Elements of the Pell sequence satisfy a class of second order linear recurrence relations which interrelate a number of integer properties, such as elements of the rows of even and odd squares in the modular ring Z4. ...
  • Ormerod, John; Koch, Inge; Wand, Matt (Physica-Verlag Gmbh & Co, 2008)
    We study computational issues for support vector classification with penalised spline kernels. We show that, compared with traditional kernels, computational times can be drastically reduced in large problems making such ...
  • Houseman, E.; Marsit, C; Karagas, M; Ryan, Louise (Blackwell Publishing, 2007)
    Increasingly used in health-related applications, latent variable models provide an appealing framework for handling high-dimensional exposure and response data. Item response theory (IRT) models, which have gained widespread ...
  • Pearce, N.; Wand, Matt (American Statistical Association, 2006)
    Two data analytic research areas?penalized splines and reproducing kernel methods?have become very vibrant since the mid-1990s. This article shows how the former can be embedded in the latter via theory for reproducing ...
  • Ormerod, John; Wand, Matt (Institute of Mathematical Statistics, 2011)
    We introduce the concept of penalized wavelets to facilitate seamless embedding of wavelets into semiparametric regression models. In particular, we show that penalized wavelets are analogous to penalized splines; the ...