Browsing 01 Mathematical Sciences by Title

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Browsing 01 Mathematical Sciences by Title

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  • Huang, Shoudong; Lam, James (Taylor & Francis, 2002)
    This paper considers the problems of estimating the stability region (domain of attraction) and controller design for uncertain linear continuous-time systems with input saturation when linear quadratic (LQ) optimal ...
  • Lin, Xihong; Ryan, Louise; Sammel, Mary; Zhang, Daowen; Padungtod, Chantana; Xu, Xiping (Wiley-Blackwell Publishing Ltd., 2000)
    We propose a scaled linear mixed model to assess the effects of exposure and other covariates on multiple continuous outcomes. The most general form of the model allows a different exposure effect for each outcome. An ...
  • Roy, J; Lin, X; Ryan, Louise (Oxford Univ Press, 2003)
    In studies that involve multivariate outcomes it is often of interest to test for a common exposure effect. For example, our research is motivated by a study of neurocognitive performance in a cohort of HIV-infected women. ...
  • Choy, Sai Tsang Boris; Chan, Jennifer (Blackwell Publishing, 2008)
    This paper presents two types of symmetric scale mixture probability distributions which include the normal, Student t, Pearson Type VII, variance gamma, exponential power, uniform power and generalized t (GT) distributions. ...
  • Choy, Sai Tsang Boris; Chan, Jennifer (Blackwell Publishing Ltd, 2008)
    This paper presents two types of symmetric scale mixture probability distributions which include the normal, Student t, Pearson Type VII, variance gamma, exponential power, uniform power and generalised t (GT) distributions. ...
  • Di Guilmi, Corrado; Gallegati, Mauro; Ormerod, Paul (Elsevier Science BV, 2004)
    Self-similar models are largely used to describe the extinction rate of biological species. In this paper we analyse the extinction rate of firms in eight OECD countries. Firms are classified by industrial sectors and ...
  • Delli Gatti, Domenico; Di Guilmi, Corrado; Gallegati, Mauro; Gaffeo, Edoardo; Giulioni, Gianfranco; Palestrini, Antonio (World Scientific, 2008)
    The practice of detecting power laws and scaling behaviors in economics and finance has gained momentum in the last few years, due to the increased use of concepts and methods first developed in statistical physics. Some ...
  • Hwang, Feng-Jang; Kovalyov, Mikhail; Lin, Bertrand (Springer, 2014)
    This paper studies a problem of scheduling fabrication and assembly operations in a two-machine flowshop, subject to the same predetermined job sequence on each machine. In the manufacturing setting, there are n products, ...
  • Zinder, Yakov (Western Australian Centre of Excellence in Industrial Optimisation, Curtin University of Technology, 2005)
    The paper is concerned with the problem of shceduling a partially ordered set of unit execution time tasks on parallel identical machines in ordered to minimise the criterion of maximum lateness which plays one of the ...
  • Zinder, Yakov; Do, Van (Springer, 2005)
    Two extensions of the classical scheduling model with two parallel identical machines and a partially ordered set of unit execution time tasks are considered. It is well known that the Coffman-Graham algorithm constructs ...
  • Zinder, Yakov; Singh, Gaurav; Su, Bo Liang Tim; Sorli, Ronald (Universal Academy Press Inc, 2007)
    The paper is concerned iwth the problem of scheduling partially ordered unit execution time tasks on parallel processors with unit communication delays and release times. Two criteria are considered the maximum lateness ...
  • Zinder, Yakov; Su, Bo; Singh, G.; Sorli, R. (Springer, 2010)
    The paper is concerned with the problem of scheduling partially ordered unit execution time tasks on parallel processors with unit communication delays and release times. Two criteria are considered, the maximum lateness ...
  • Yeh, Wei-Chang (Pergamon-Elsevier Science Ltd, 2002)
    In this presentation, we developed an intuitive algorithm based on some simple concepts that were found in this study. It is more e2cient than the best-known existing algorithm. The computational complexity of the proposed ...
  • Yeh, Wei-Chang (Pergamon-Elsevier Science Ltd, 2001)
    In this paper, "rst we develop an intuitive algorithm using the shortest path based upon the reformation of all MCs in the original network. Next, the computational complexity of the proposed algorithm is analyzed and ...
  • D'Souza, Sabita; Wood, Leigh (The MATYC Journal Inc., 2003)
    The concerns of teachers and students in integrating computer technology in the classroom may influence how computer technology is ultimately implemented. There has been substantial research into reasons for teacher ...
  • Dai, Jun; Gao, Wei; Zhang, Nong; Liu, Nengguang (Springer, 2010)
    The seismic random vibration responses of shear beam structures with uncertainty are investigated. The structural mass and stiffness are considered as random variables. The excitations adopted are stationary or non-stationary ...
  • Le, Thi Hong Hanh; Hoang, Doan; Simmonds, Andrew (IEEE, 2005)
    One of the major weaknesses of existing peer-to-peer (P2P) networks is that their overlay structures do not correlate to the physical underlying network topology. As a result, the overlays waste network resources and ...
  • Bosch, Ronald; Wypij, D; Ryan, Louise (Plenum Publ Corp, 1996)
    Characterizing the dose-effect relationship and estimating acceptable exposure levels are the primary goals of quantitative risk assessment. A semiparametric approach is proposed for risk assessment with continuously ...
  • Goetghebeur, Els; Ryan, Louise (Wiley-Blackwell Publishing Ltd., 2000)
    We propose a semiparametric approach to the proportional hazards regression analysis of interval-censored data. An EM algorithm based on an approximate likelihood leads to an M-step that involves maximizing a standard Cox ...
  • Wand, Matt (Blackwell Publishing Ltd, 2009)
    Semiparametric regression models that use spline basis functions with penalization have graphical model representations. This link is more powerful than previously established mixed model representations of semiparametric ...