Results 11 to 20 of about 3,006,601 (299)
Statistical Models in Clinical Studies [PDF]
, 2021 Although statistical models serve as the foundation of data analysis in clinical studies, their interpretation requires sufficient understanding of the underlying statistical framework.
Le-Rademacher, Jennifer +2 more
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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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GDP Forecasting: Machine Learning, Linear or Autoregression?
Frontiers in Artificial Intelligence, 2021 This paper compares the predictive power of different models to forecast the real U.S. GDP. Using quarterly data from 1976 to 2020, we find that the machine learning K-Nearest Neighbour (KNN) model captures the self-predictive ability of the U.S. GDP and
Giovanni Maccarrone +3 more
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Improving risk prediction model quality in the critically ill: data linkage study
Health and Social Care Delivery Research, 2022 Background: A previous National Institute for Health and Care Research study [Harrison DA, Ferrando-Vivas P, Shahin J, Rowan KM. Ensuring comparisons of health-care providers are fair: development and validation of risk prediction models for critically ...
Paloma Ferrando-Vivas +17 more
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Some Statistical Properties of Models of Transitory Earnings
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2021 The fact that most of the financial ratios are mean-reverting, is well known. Due to the importance of earnings forecast accuracy, relevant scientific literature in this area concentrates on transitory earnings.
Miroslava Vlčková, Tomáš Buus
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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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Aircraft Damage Classification by using Machine Learning Methods
International Journal of Aviation, Aeronautics, and Aerospace, 2023 Safety is the most significant factor that affected incidents (non-fatal) and accidents (fatal) in civil aviation history related to scheduled flights. In the history of scheduled flights, the total incident and accident number until 2022 is 1988.
Tüzün Tolga İnan
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Statistical models of renewable energy intermittency [PDF]
E3S Web of Conferences, 2020 One of the big mitigating factors of intermittency is the smoothing effect of geographical distribution of variable renewable energy (VRE ) plants on the aggregate power output of VRE generation on a utility network.
Rakhmonov I U, Reymov K M
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Minimize the sum of the error boxes in the multi-linear regression model using the genetic algorithm [PDF]
مجلة التربية والعلم, 2018 Regression models are regarded as the most important ones used in statistical models in defining the relation among variables through the available data which can be applied to various sciences .
Hamsa Mohammed
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Health Technology Assessment, 2020 Background: Cost-effectiveness analysis using quality-adjusted life-years as the measure of health benefit is commonly used to aid decision-makers. Clinical studies often do not include preference-based measures that allow the calculation of quality ...
Mónica Hernández Alava +4 more
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