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  • dependence
  • Modelling Asymmetric Exchange Rate Dependence ," International Economic Review , Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May. (repec.org)
  • Modelling Asymmetric Exchange Rate Dependence ," Working Papers wp04-04, Warwick Business School, Finance Group. (repec.org)
  • describes
  • This chapter describes Generalized Linear Models (GLM), a statistical technique for linear modeling. (oracle.com)
  • The linear model of communication is an early conceptual model that describes the process of information being transferred in one direction only, from the sender to the receiver. (reference.com)
  • The linear model describes communication as a one-way process. (reference.com)
  • In quantum field theory, a nonlinear σ model describes a scalar field Σ which takes on values in a nonlinear manifold called the target manifold T. The non-linear σ-model was introduced by Gell-Mann & Lévy (1960, section 6), who named it after a field corresponding to a spinless meson called σ in their model. (wikipedia.org)
  • In addition, the improved lattice or quantum field theory predictions can then be compared to laboratory experiments on critical phenomena, since the O(n) model describes physical Heisenberg ferromagnets and related systems. (wikipedia.org)
  • Whether the model describes the reality for small-dose exposures is disputed. (wikipedia.org)
  • The first stage consists of a linear filter, or linear receptive field, which describes how the neuron integrates stimulus intensity over space and time. (wikipedia.org)
  • anova
  • Once built the same model can be analyzed in many ways including least-squares regression, fit and lack-of-fit statistics, ANOVA (or ANACOVA), MANOVA (or MANACOVA) This tutorial will use several examples to show how to build different types of models. (mathworks.com)
  • In these cases, a model (see below) is fit for all genes, with gene expression as the response variable and the variable(s) of interest (and their interactions if a multi-way ANOVA is used) as the predictor variables. (warwick.ac.uk)
  • Including more variables into the analysis when using ANOVA may result in missing a lot of interesting effects for genes whose expression changes in response to only a subset of the experiment variables, so a method must be used to fit a model to each gene individually. (warwick.ac.uk)
  • estimation
  • Describe numerical procedures for estimation in generalized linear models. (uib.no)
  • Estimating Nonlinear Dynamic Models Using Least Absolute Error Estimation ," Econometric Theory , Cambridge University Press, vol. 7(01), pages 46-68, March. (repec.org)
  • Estimation of copula-based semiparametric time series models ," Journal of Econometrics , Elsevier, vol. 130(2), pages 307-335, February. (repec.org)
  • During estimation, rather than using weighted least squares during IRLS, one uses generalized least squares to handle the correlation between the M linear predictors. (wikipedia.org)
  • Greven, S. (2014), "A unifying approach to the estimation of the conditional Akaike information in generalized linear mixed models", Electronic Journal of Statistics, 8: 201-225, doi:10.1214/14-EJS881 Pinheiro, J. C. (wikipedia.org)
  • Zener
  • The standard linear solid (SLS) model, also known as the Zener model, is a method of modeling the behavior of a viscoelastic material using a linear combination of springs and dashpots to represent elastic and viscous components, respectively. (wikipedia.org)
  • The model was first developed by Zener. (wikipedia.org)
  • The SLS model (green) has two different datasets, left c0=1990 m/s, Qc=100 and τr−1=2π100 right c0=1985 m/s, Qc=84.71 and τr−1=6.75x100 Fig.1.Attenuation - Kolsky model and Zener model (Standard Linear Solid) Ursin B. and Toverud T. 2002 Comparison of seismic dispersion and attenuation models. (wikipedia.org)
  • assumptions
  • The challenge in developing models of this type involves assessing the extent to which the assumptions are met. (oracle.com)
  • The various diagnostic tools for checking the model assumptions are introduced (Sect. (springer.com)
  • Topics include an introduction to the basic two-level model for continuous outcomes, assessment of fit, checking model assumptions, single and multiparameter hypothesis testing, the extension to three-level models, and nonlinear models for binary outcomes. (umich.edu)
  • Working Papers
  • Set Identified Linear Models ," TSE Working Papers 09-090, Toulouse School of Economics (TSE). (repec.org)
  • Set Identified Linear Models ," IDEI Working Papers 494, Institut d'Économie Industrielle (IDEI), Toulouse. (repec.org)
  • Set identified linear models ," CeMMAP working papers CWP13/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. (repec.org)
  • Bounds in Competing Risks Models and the War on Cancer ," CAM Working Papers 2004-08, University of Copenhagen. (repec.org)
  • Bounds in Competing Risks Models and the War on Cancer ," NBER Working Papers 10963, National Bureau of Economic Research, Inc. (repec.org)
  • Partial Identification in Monotone Binary Models : Discrete Regressors and Interval Data ," Working Papers 2004-11, Center for Research in Economics and Statistics. (repec.org)
  • Partial Identification in Monotone Binary Models: Discrete Regressors and Interval Data ," IDEI Working Papers 280, Institut d'Économie Industrielle (IDEI), Toulouse, revised Jan 2005. (repec.org)
  • Econometric Evaluation of Asset Pricing Models ," NBER Technical Working Papers 0145, National Bureau of Economic Research, Inc. (repec.org)
  • predicts
  • Imagine, for example, a model that predicts the likelihood of a given person going to the beach as a function of temperature. (wikipedia.org)
  • SLS is the simplest model that predicts both phenomena. (wikipedia.org)
  • typically
  • Furthermore, the sum of terms in a linear model typically can have very large ranges encompassing very negative and very positive values. (oracle.com)
  • predictors
  • The algorithm can build and score quality models that use a virtually limitless number of predictors (attributes). (oracle.com)
  • The best regression models are those in which the predictors correlate highly with the target, but there is very little correlation between the predictors themselves. (oracle.com)
  • The generalized functional linear model (GFLM) is an extension of the generalized linear model (GLM) that allows one to regress univariate responses of various types (continuous or discrete) on functional predictors, which are mostly random trajectories generated by a square-integrable stochastic processes. (wikipedia.org)
  • Methods
  • Applied Regression Analysis, Linear Models, and Related Methods. (southampton.ac.uk)
  • Various approximate methods have been developed, but none has good properties for all possible models and data sets (e.g. ungrouped binary data are particularly problematic). (wikipedia.org)
  • The above results point therefore to a failure of naive perturbation theory in describing correctly the physical behavior of the O(n)-symmetric model above two dimensions, and to the need for more sophisticated non-perturbative methods such as the lattice formulation. (wikipedia.org)
  • estimates
  • What the model estimates. (socialresearchmethods.net)
  • Pending any definitive answer to these questions and the precautionary principle, the model is sometimes used to quantify the cancerous effect of collective doses of low-level radioactive contaminations, even though it estimates a positive number of excess deaths at levels that would have had zero deaths, or saved lives, in the two other models. (wikipedia.org)
  • restrictions
  • The advantage of linear models and their restrictions include computational simplicity, an interpretable model form, and the ability to compute certain diagnostic information about the quality of the fit. (oracle.com)
  • Generalized linear models relax these restrictions, which are often violated in practice. (oracle.com)
  • prediction
  • SQL function to obtain the confidence bounds of a model prediction. (oracle.com)
  • Gotway, C.A., Stroup, W.W.: A generalized linear model approach to spatial data analysis and prediction. (springer.com)
  • As an example, a prediction model might predict that 10 degree temperature decrease would lead to 1,000 fewer people visiting the beach is unlikely to generalize well over both small beaches (e.g. those where the expected attendance was 50 at a particular temperature) and large beaches (e.g. those where the expected attendance was 10,000 at a low temperature). (wikipedia.org)
  • The problem with this kind of prediction model would imply a temperature drop of 10 degrees would lead to 1,000 fewer people visiting the beach, a beach whose expected attendance was 50 at a higher temperature would now be predicted to have the impossible attendance value of −950. (wikipedia.org)
  • In statistics, a proper linear model is a linear regression model in which the weights given to the predictor variables are chosen in such a way as to optimize the relationship between the prediction and the criterion. (wikipedia.org)
  • responses
  • The LNP model is generally implicit when using reverse correlation or the spike-triggered average to characterize neural responses with white-noise stimuli. (wikipedia.org)
  • values
  • the minimising values βj are linear functions of the random errors εi which makes it relatively easy to determine the statistical properties of the estimated values of βj. (wikipedia.org)
  • Generalized linear models cover all these situations by allowing for response variables that have arbitrary distributions (rather than simply normal distributions), and for an arbitrary function of the response variable (the link function) to vary linearly with the predicted values (rather than assuming that the response itself must vary linearly). (wikipedia.org)
  • Thus the contexts where these models are useful or realistic often depends on the range of the values being modelled. (wikipedia.org)
  • binary
  • Partial Identification in Monotone Binary Models: Discrete Regressors and Interval Data ," Review of Economic Studies , Oxford University Press, vol. 75(3), pages 835-864. (repec.org)
  • Partial Identification in Monotone Binary Models: Discrete Regressors and Interval Data ," Post-Print halshs-00754272, HAL. (repec.org)
  • theory
  • To introduce the theory and apply a wide range of statistical models. (southampton.ac.uk)
  • Understand the foundation theory of Generalised Linear Models. (southampton.ac.uk)
  • In each case, the designation "linear" is used to identify a subclass of models for which substantial reduction in the complexity of the related statistical theory is possible. (wikipedia.org)
  • Plane Answers to Complex Questions: The Theory of Linear Models (Third ed. (wikipedia.org)
  • Current models of innovation deriving from approaches such as Actor-Network Theory, Social shaping of technology and social learning (e.g. (wikipedia.org)
  • This model proved to be relevant in string theory where the two-dimensional manifold is named worldsheet. (wikipedia.org)
  • The existence of such a fixed point is relevant, as it grants, at this order of perturbation theory, that conformal invariance is not lost due to quantum corrections, so that the quantum field theory of this model is sensible (renormalizable). (wikipedia.org)
  • An alternative to the LNP model for neural characterization is the Volterra kernel or Wiener kernel series expansion, which arises in classical nonlinear systems-identification theory. (wikipedia.org)
  • simple
  • Next, a representation of every log-linear model as the intersection of several log-linear models is discussed, where all of the latter models belong to one of two classes of simple log-linear models. (springer.com)
  • The link function transforms the target range to potentially -infinity to +infinity so that the simple form of linear models can be maintained. (oracle.com)
  • The model is simple to apply: a quantity of radiation can be translated into a number of deaths without any adjustment for the distribution of exposure, including the distribution of exposure within a single exposed individual. (wikipedia.org)
  • Sir Francis Galton first observed the phenomenon in the context of simple linear regression of data points. (wikipedia.org)
  • assumes
  • The model assumes that the long-term, biological damage caused by ionizing radiation (essentially the cancer risk) is directly proportional to the dose. (wikipedia.org)
  • It opposes two competing schools of thought: the threshold model, which assumes that very small exposures are harmless, and the radiation hormesis model, which claims that radiation at very small doses can be beneficial. (wikipedia.org)
  • operators
  • SOPs - surface operators - for procedural modelling. (wikipedia.org)
  • L ( H A ) {\displaystyle L(H_{A})} will denote the family of operators on H A {\displaystyle H_{A}} . In the Schrödinger picture, a purely quantum channel is a map Φ between density matrices acting on H A {\displaystyle H_{A}} and H B {\displaystyle H_{B}} with the following properties: As required by postulates of quantum mechanics, Φ needs to be linear. (wikipedia.org)
  • Density matrices acting on HA only constitute a proper subset of the operators on HA and same can be said for system B. However, once a linear map Φ between the density matrices is specified, a standard linearity argument, together with the finite-dimensional assumption, allow us to extend Φ uniquely to the full space of operators. (wikipedia.org)
  • A purely quantum channel, in the Heisenberg picture, is a linear map Ψ between spaces of operators: Ψ : L ( H B ) → L ( H A ) {\displaystyle \Psi :L(H_{B})\rightarrow L(H_{A})} that is unital and completely positive (CP). (wikipedia.org)
  • parameters
  • Any deviation from the above assumptions-a nonlinear state equation, a non-quadratic objective function, noise in the multiplicative parameters of the model, or decentralization of control-causes the certainty equivalence property not to hold. (wikipedia.org)
  • time
  • Idealized theoretical electrochemical thermodynamic relationships such as the Nernst equation are modeled without a time component. (wikipedia.org)
  • analog
  • Model L10000P392F RTD temperature panel meter / controller by Laurel Electronics is factory configured for Pt100 100 ohm platinum RTD, ANSI alpha, -331 to 1562 degrees F, No relays, No analog output, No communication option, Universal 85-264 Vac power. (laurels.com)
  • In sequence design, a Feedback with Carry Shift Register (or FCSR) is the arithmetic or with carry analog of a Linear feedback shift register (LFSR). (wikipedia.org)
  • Mathematics
  • Binary relations are used in many branches of mathematics to model concepts like "is greater than", "is equal to", and "divides" in arithmetic, "is congruent to" in geometry, "is adjacent to" in graph theory, "is orthogonal to" in linear algebra and many more. (wikipedia.org)
  • predict
  • It is useful to be able to predict an individual's expected length of stay or to model length of stay to determine factors that affect it. (wikipedia.org)
  • background
  • The objective of this book is to provide a reference edited volume covering the whole spectrum of speckle phenomena, theoretical background and modelling, algorithms and selected applications in cardiovascular ultrasound imaging and video processing and analysis. (theiet.org)
  • Complex
  • Finally, we propose a model for the architecture of the SAGA and ADA complexes, which predicts novel functional associations within the SAGA complex and provides mechanistic insights into phenotypical observations in SAGA mutants. (embopress.org)
  • Two assembly modules, Rpn5-Rpn6-Rpn8-Rpn9-Rpn11 modules and Rpn3-Rpn7-SEM1 modules were identified during 19S lid assembly using yeast proteasome as a model complex. (wikipedia.org)
  • results
  • While these models are insufficient alone to describe the dynamic aspects of voltammetry, models like the Tafel equation and Butler-Volmer equation lay the groundwork for the modified voltammetry relationships that relate theory to observed results. (wikipedia.org)