Results 11 to 20 of about 24,899,885 (305)
Generalized Linear Models for Flexible Parametric Modeling of the Hazard Function [PDF]
Med Decis Making, 2019 Background. Parametric modeling of survival data is important, and reimbursement decisions may depend on the selected distribution. Accurate predictions require sufficiently flexible models to describe adequately the temporal evolution of the hazard ...
B. Kearns +3 more
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CuBe: parametric modeling of 3D foveal shape using cubic Bézier. [PDF]
Biomed Opt Express, 2017 Optical coherence tomography (OCT) allows three-dimensional (3D) imaging of the retina, and is commonly used for assessing pathological changes of fovea and macula in many diseases.
S. Yadav +7 more
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Edge Sharpness Assessment by Parametric Modeling: Application to Magnetic Resonance Imaging [PDF]
Concepts Magn Reson Part A Bridg Educ Res, 2015 In biomedical imaging, edge sharpness is an important yet often overlooked image quality metric. In this work, a semi-automatic method to quantify edge sharpness in the presence of significant noise is presented with application to magnetic resonance ...
Rizwan Ahmad, Yu Ding, O. Simonetti
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Predicting energy consumption for residential buildings using ANN through parametric modeling
, 2021 Controlling buildings energy consumption is a great practical significance. During early design stage, accurate and rapid prediction of energy consumption could provide a quantitative basis for energy-saving designs.
E. Elbeltagi, Hossam Wefki
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Analysis of parametric and non-parametric option pricing models
Heliyon, 2022 In this paper, a closed-form analytical solution of option price under the Bi-Heston model is derived. Through empirical analysis, the advantages and disadvantages of the parametric pricing model are compared and analysed with those of the non-parametric model.
Qiang Luo +3 more
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The promise of performative: Relational, genetic and scripted models in architectural design [PDF]
Facta Universitatis. Series: Architecture and Civil Engineering, 2013 This paper investigates the role of performative models within the context of architectural design. Understanding the performances of the built environment can be postulated in rather different manners.
Stojanovic Đorđe
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Parametrized Measure Models [PDF]
Bernoulli, 2017 We develope a new and general notion of parametric measure models and statistical models on an arbitrary sample space $Ω$ which does not assume that all measures of the model have the same null sets. This is given by a diffferentiable map from the parameter manifold $M$ into the set of finite measures or probability measures on $Ω$, respectively, which
Ay, Nihat +3 more
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Forecasting the main dimensions of single-stage cylindrical reducers at early design stages [PDF]
Научно-технический вестник Брянского государственного университета, 2019 The article presents the research data on the influence of the gear pair materials hardness of the cylindrical transmission on the overall and connecting dimensions and center distance of the single-stage gearbox, made according to the horizontal scheme,
Petrakova E.A., Sumatokhin V.A.
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Multiobjective Optimization Method of Solid Rocket Motor Finocyl Grain Based on Surrogate Model
Aerospace, 2022 To improve the performance of a solid rocket motor (SRM), a multiobjective optimal design method that can consider the structural integrity, internal ballistic performance, and loading performance of the SRM was proposed based on parametric modeling and ...
Qiuwen Miao +3 more
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Parametric and semi-parametric modelling of vacation expenditures [PDF]
Journal of Applied Econometrics, 1996 We analyse several limited dependent variable models explaining the budget share that Dutch families spend on vacations. To take account of the substantial number of zero shares, two types of models are used. The first is the single-equation censored regression model.
Melenberg, B., Soest, A.H.O. van
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