Results 11 to 20 of about 12,341,256 (312)
An evolution of statistical pipe failure models for drinking water networks: a targeted review [PDF]
, 2022 The use of statistical models to predict pipe failures has become an important tool for proactive management of drinking water networks. This targeted review provides an overview of the evolution of existing statistical models, grouped into three ...
Barton, N.A., Hallett, S.H., Tran, T.H.
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Financial Market Information with Modern Statistical Models [PDF]
, 2021 Modelle und Daten sind die beiden grundlegenden Elemente in den meisten Finanzmarktstudien. Viele Arbeiten konzentrieren sich auf die Verbesserung von Modellen zur besseren Annäherung an wahre Marktmechanismen, dabei konzentriert sich ein wichtiger Teil ...
Hu, Junjie
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Agronomy, 2021 Assessing the differential behavior of a group of genotypes in various environments is fundamentally important in any breeding program. As sugarcane is the most important crop in the state of Pernambuco, it is of great relevance to study its performance ...
João de Andrade Dutra Filho +15 more
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Factors affecting the survival of stroke patients in the last eight years using parametric and non-parametric models: A study in the northwest of Iran [PDF]
مجله پزشکی دانشگاه علوم پزشکی تبریزBackground. The aim of this study was to evaluate factors affecting the survival of 5,430 stroke patients in the northwest of Iran using parametric and non-parametric models of survival analysis. Methods.
Mehdi Farhoudi +3 more
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Event-Based Evaluation of Electricity Price Ensemble Forecasts
Forecasting, 2021 The present paper considers the problem of choosing among a collection of competing electricity price forecasting models to address a stochastic decision-making problem.
Arne Vogler, Florian Ziel
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Entropy, 2023 We present an analysis of the pseudorapidity η and transverse momentum pT distributions of charged hadrons in pp collisions for the kinematic range of ...
Muhammad Ajaz +9 more
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Statistical DRAM modeling [PDF]
Proceedings of the International Symposium on Memory Systems, 2019 Cycle-accurate DRAM models are prevalent in today's computer architecture simulations. However, cycle-accurate models by design are time consuming and not scalable. In this paper, we present a statistical approach of DRAM latency modeling. Unlike previous works, our approach converts DRAM latency modeling into a classification problem and employ ...
Shang Li 0001, Bruce L. Jacob
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Deep statistical solvers - Trained models
, 2020 Contains a set of 9 trained models of Deep statistical solvers There are 3 models for the linear systems experiment, 3 models for the AC power flow 14 nodes and 3 models for the AC power flow 118 ...
Statistical Solvers
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Energies, 2020 With the development of micro-grids including PV production and storage, the need for efficient energy management strategies arises. One of their key components is the forecast of the energy production from very short to long term. The forecast time-step
Jean-Laurent Duchaud +4 more
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Prediction of Daily Patient Numbers for a Regional Emergency Medical Center using Time Series Analysis [PDF]
Healthcare Informatics Research, 2010 ObjectivesTo develop and evaluate time series models to predict the daily number of patients visiting the Emergency Department (ED) of a Korean hospital.MethodsData were collected from the hospital information system database.
Hye Jin Kam, Jin Ok Sung, Rae Woong Park
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