Book review: "Statistical Data Analysis Based on the L1-Norm and Related Methods" by Ydolah Dodge, ed.
Piotr Nowak (2006)
Control and Cybernetics
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Piotr Nowak (2006)
Control and Cybernetics
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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...
Sparks, Ross (2004)
Journal of Applied Mathematics and Decision Sciences
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Horng-Jinh Chang, Feng-Jenq Lin (1995)
The Yugoslav Journal of Operations Research
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Robert Haining (1987)
Mathématiques et Sciences Humaines
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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...
Gocheva-Ilieva, S.G., Iliev, I.P. (2010)
Mathematical Problems in Engineering
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P. J. Harrison, Arnold Zellner (1980)
Trabajos de Estadística e Investigación Operativa
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Discussion on the papers by Brown, Philip J., Aspects of multivariate regression and by Dempster, Arthur P., Bayesian inference in applied statistics, both of them part of a round table on Regression and time series held in the First International Congress on Bayesian Methods (Valencia, Spain, 28 May - 2 June 1979).
Ammar Shaker, Eyke Hüllermeier (2014)
International Journal of Applied Mathematics and Computer Science
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In this paper, we introduce a method for survival analysis on data streams. Survival analysis (also known as event history analysis) is an established statistical method for the study of temporal “events” or, more specifically, questions regarding the temporal distribution of the occurrence of events and their dependence on covariates of the data sources. To make this method applicable in the setting of data streams, we propose an adaptive variant of a model that is closely related to...
Bruce W. Turnbull, Wenxin Jiang (2003)
SORT
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In this paper we describe the so-called indirect method of inference, originally developed from the econometric literature, and apply it to survival analyses of two data sets with repeated events. This method is often more convenient computationally than maximum likelihood estimation when handling such model complexities as random effects and measurement error, for example; and it can also serve as a basis for robust inference with less stringent assumptions on the data generating mechanism....