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  • Saturated linear-quadratic regulation of uncertain linear systems: stability region estimation and controller design 
    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 ...
  • Scale mixtures distributions in statistical modelling 
    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. ...
  • Scale mixtures distributions in statistical modelling 
    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. ...
  • Scaling Invariant Distributions of Firms' Exits in OECD Countries 
    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 ...
  • Scaling laws in the macroeconomy 
    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 ...
  • Scheduling UET tasks on parallel machines: strength of priority algorithms 
    Zinder Yakov (Western Australian Centre of Excellence in Industrial Optimisation, Curtin University of Technology, 2005)
    The paper is concerned with the problem of scheduling a partially ordered set of unit execution time tasks on parallel identical machines in ordered to minimize the criterion of maximum lateness, which plays one of the ...
  • Scheduling UET tasks on two parallel machines with the criteria of makespan and total completion time 
    Zinder Yakov; Do Van Ha (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 ...
  • Scheduling UET-UCT tasks: branch-and-bound search in the priority space 
    Zinder Yakov; Singh Gaurav; Su Bo Liang Tim; Sorli Ronald (Universal Academy Press Inc, 2007)
  • Search For All D-Mincuts Of A Limited-Flow Network 
    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 ...
  • Search For Mc In Modified Networks 
    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 ...
  • Secondary stduents' resistance towards incorporating computer yechnology into mathematics learning 
    D'Souza Sabita; Wood Leigh (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 ...
  • Seismic random vibration analysis of shear beams with random structural parameters 
    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 ...
  • A self-organising model for topology-aware overlay formation 
    Le Thi Hong Hanh; Hoang Doan; Simmonds Andrew (The Institute of Electrical and Electronic Engineers Inc (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 ...
  • Semiparametric regression and graphical models 
    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 ...
  • Semiparametric regression during 2003-2007 
    Ruppert David; Wand Matt; Carroll R. (Institute of Mathematical Statistics, 2009)
    Semiparametric regression is a fusion between parametric regression and nonparametric regression that integrates low-rank penalized splines, mixed model and hierarchical Bayesian methodology ¿ thus allowing more streamlined ...
  • Sensitivity of inferences in forensic genetics to assumptions about founding genes 
    Green Peter; Mortera J (Inst Mathematical Statistics, 2009)
    Many forensic genetics problems can be handled using structured systems of discrete variables, for which Bayesian networks offer an appealing practical modeling framework, and allow inferences to be computed by probability ...
  • The SETAR Model of Tong and Lim and Advances in Computation 
    Geweke John (World Scientific Publishing Co., 2009)
    This discussion revisits Tong and Lim's seminal 1980 paper on the SETAR model in the context of advances in computation since that time. Using the Canadian lynx data set from that paper, it compares exact maximum likelihood ...
  • Similarity measure models and algorithms for hierarchical cases 
    Wu Dianshuang; Lu Jie; Zhang Guangquan (Pergamon, 2011)
    Many business situations such as events, products and services, are often described in a hierarchical structure. When we use case-based reasoning (CBR) techniques to support business decision-making, we require a ...
  • A Simple Direct Cosine Simplex Algorithm 
    Yeh Wei-Chang; Corley H (Elsevier Science Inc, 2009)
    Linear programming (LP) is the core model of constrained optimization. The Simplex method (Simplex in short) has been proven in practice to perform very well in small- or medium-sized LP problems. A new algorithm called ...
  • Simple fitting of subject-specific curves for longitudinal data 
    Durban M.; Harezlak J.; Wand Matt; Carroll R. (John Wiley & Sons Ltd., 2005)
    We present a simple semiparametric model for tting subject-speci c curves for longitudinal data. Individual curves are modelled as penalized splines with random coe cients. This model has a mixed model representation, and ...