Pattern-mixture models
Geert Molenberghs, Herbert Thijs, Bart Michiels, Geert Verbeke, Michael G. Kenward (2004)
Journal de la société française de statistique
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Geert Molenberghs, Herbert Thijs, Bart Michiels, Geert Verbeke, Michael G. Kenward (2004)
Journal de la société française de statistique
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G. de Soete (1983)
Mathématiques et Sciences Humaines
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Ana Debón, Francisco Montes, Ramón Sala (2005)
SORT
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The parametric graduation of mortality data has as its objective the satisfactory estimation of the death rates based on mortality data but using an age-dependent function whose parameters are adjusted from the crude rates obtainable directly from the data. This paper proposes a revision of the most commonly used parametric models and compares the result obtained with each of them when they are applied to the mortality data for the Valencia Region. As a result of the comparison, we conclude...
Do Hoai, Nam, Udo, Keiko, Mano, Akira (2011)
Journal of Applied Mathematics
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Gocheva-Ilieva, S.G., Iliev, I.P. (2010)
Mathematical Problems in Engineering
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S. Monira Sumi, M. Faisal Zaman, Hideo Hirose (2012)
International Journal of Applied Mathematics and Computer Science
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In the present article, an attempt is made to derive optimal data-driven machine learning methods for forecasting an average daily and monthly rainfall of the Fukuoka city in Japan. This comparative study is conducted concentrating on three aspects: modelling inputs, modelling methods and pre-processing techniques. A comparison between linear correlation analysis and average mutual information is made to find an optimal input technique. For the modelling of the rainfall, a novel hybrid...
Tomasz Barszcz, Piotr Czop (2011)
International Journal of Applied Mathematics and Computer Science
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The first-principle modeling of a feedwater heater operating in a coal-fired power unit is presented, along with a theoretical discussion concerning its structural simplifications, parameter estimation, and dynamical validation. The model is a part of the component library of modeling environments, called the Virtual Power Plant (VPP). The main purpose of the VPP is simulation of power generation installations intended for early warning diagnostic applications. The model was developed...
Daniel Peña (1988)
Trabajos de Estadística
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This paper presents a classification of statistical models using a simple and logical framework. Some remarks are made about the historical appearance of each type of model and the practical problems that motivated them. It is argued that the current stages of the statistical methodology for model building have arisen in response to the needs for more sophisticated procedures for building dynamic-explicative types of models. Some potentially important topics for future research are included. ...
Olivera Jovanović, Dimitar Jurukovski (1997)
The Yugoslav Journal of Operations Research
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Smaoui, Soulef, Chabchoub, Habib, Aouni, Belaid (2009)
Advances in Operations Research
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