SUR models applied to an environmental situation with missing data and censored values.
Sparks, Ross (2004)
Journal of Applied Mathematics and Decision Sciences
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Sparks, Ross (2004)
Journal of Applied Mathematics and Decision Sciences
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Gocheva-Ilieva, S.G., Iliev, I.P. (2010)
Mathematical Problems in Engineering
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Ittig, Peter T. (2004)
Journal of Applied Mathematics and Decision Sciences
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Meyer, Denny (1997)
Journal of Applied Mathematics and Decision Sciences
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Silvie Bělašková, Eva Fišerová, Sylvia Krupičková (2013)
Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica
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In most clinical studies, patients are observed for extended time periods to evaluate influences in treatment such as drug treatment, approaches to surgery, etc. The primary event in these studies is death, relapse, adverse drug reaction, or development of a new disease. The follow-up time may range from few weeks to many years. Although these studies are long term, the number of observed events is small. Longitudinal studies have increased the importance of statistical methods for time-to...
Anna Bartkowiak, Maria Jakimiec (1994)
Qüestiió
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Short-term prediction of solar flare activity using multiple regression methods was considered. The variables describing active regions the given day were used to predict the flare activity on the next day. Two groups of observational data covering the years 1988 and 1989 were dealt with. Some variants of the distance-based regression as proposed by Cuadras and Arenas (1990) appeared to be superior to the ordinary least squares method by describing more accurately the data sets under...
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...
Zhaowei, Shang, Lingfeng, Zhang, Shangjun, Ma, Bin, Fang, Taiping, Zhang (2010)
Mathematical Problems in Engineering
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Cécile Durot, Karelle Thiébot (2010)
ESAIM: Probability and Statistics
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To validate pollution data, subject-matter experts in Airpl (an organization that maintains a network of air pollution monitoring stations in western France) daily perform visual examinations of the data and check their consistency. In this paper, we describe these visual examinations and propose a formalization for this problem. The examinations consist in comparisons of so-called shorth intervals so we build a statistical test that compares such intervals in a nonparametric regression...
Ham, Frederic M., Kostanic, Ivica (1996)
Mathematical Problems in Engineering
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Ross L. Prentice, John D. Kalbfleisch (2003)
SORT
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Multivariate failure time data arise in various forms including recurrent event data when individuals are followed to observe the sequence of occurrences of a certain type of event; correlated failure time when an individual is followed for the occurrence of two or more types of events for which the individual is simultaneously at risk, or when distinct individuals have depending event times; or more complicated multistate processes where individuals may move among a number of discrete...