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Publications associées (25)

Stratégies de compromis pour l'estimation des paramètres de régression et pour la classification floue

Nicolas Fournier

Model specification is an integral part of any statistical inference problem. Several model selection techniques have been developed in order to determine which model is the best one among a list of possible candidates. Another way to deal with this questi ...

EPFL2011

Measurement system design for damage detection using model-free data interpretation methods

Ian Smith, Nizar Bel Hadj Ali, Ngoc Thanh Trinh, Irwanda Laory

Designing a measurement system is usually performed using only engineering judgment and experience. Thus, it may result in either a large amount of redundant data or insufficient data leading to ambiguous results. This paper presents a systematic approach ...

2011

Structural identification through continuous monitoring: data cleansing using temperature variations

Ian Smith, Irwanda Laory

The aim of structural performance monitoring is to infer the state of a structure from measurements and thereby support decisions related to structural management. Complex structures may be equipped with hundreds of sensors that measure quantities such as ...

University of Nottingham Press2010

Variance Stabilizing the Difference of Two Binomial Proportions

Stephan Morgenthaler, Robert Staudte

The article studies estimation of Delta = p(1) - p(2), the difference of two proportions p(1) and p(2), based on two independent Binomial experiments of size n(1) and n(2). The usual estimator, the difference between the two sample proportions, is variance ...

American Statistical Association2010

Development of a hyphenated analytical methodology for the fractionation and characterization of environmental colloids

Natural colloids are defined as macromolecules and nanoparticles with sizes ranging between 1 nm and 1 µm. Colloidal pool is complex "ill-defined" mixture of humic substances, exopolymeric substances (EPS), inorganic oxides, clays, etc. Aquatic colloids ha ...

EPFL2009