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See detailFrom biologicalmembranes to biomimetic model membranes
Eeman, Marc; Deleu, Magali ULg

in Biotechnologie, Agronomie, Société et Environnement = Biotechnology, Agronomy, Society and Environment [=BASE] (2010), 14

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See detailFrom biotemporality to nootemporality : towards an integrative and comparative view of time in behavior
Richelle, Marc ULg; Lejeune, Helga ULg; Perikel, J. J. et al

in Michon, John A.; Jackson, Janet L. (Eds.) Time, mind and behavior (1985)

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See detailFrom Bouncing to boxing
Terwagne, Denis ULg; Gilet, Tristan ULg; Vandewalle, Nicolas ULg et al

Poster (2008, March)

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See detailFrom bouncing to boxing
Terwagne, Denis ULg; Gilet, Tristan ULg; Vandewalle, Nicolas ULg et al

in Chaos (2008), 18(4),

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See detailFrom cage to nest: the library of “Il fu Mattia Pascal”
de Seta, Ilaria ULg

in Pirandello Studies : Journal of the Society of Pirandello Studies (2010), 30

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See detailFrom calibration on tracer test data to computation of protection zones: upscaling difficulties in a deterministic modelling framework
Dassargues, Alain ULg; Brouyère, Serge ULg; Derouane, Johan

in Kovar, K.; Van Der Heijde, P. (Eds.) ModelCARE 96: Calibration and Reliability in Groundwater Modelling (1996)

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See detailFrom censored to cross-sectional data: non and semiparametric new developments
Laurent, Géraldine ULg

Doctoral thesis (2014)

In many statistical studies, an observation is evident: the available data are regularly right-censored. A censorship arises when, for different reasons, the data time of interest can not be observed. A ... [more ▼]

In many statistical studies, an observation is evident: the available data are regularly right-censored. A censorship arises when, for different reasons, the data time of interest can not be observed. A data is so right-censored if, instead of observing its time of interest, a lower bound of this time is considered for this data. For example, the study duration can be shorter than the time of interest leading then to a correspondence between the observed times and the study end time. Moreover, these data can be obtained from cross-sectional process. Cross-sectional process selects only data in progress at a fixed time to constitute the studied sample, determining the data followed for the study. Therefore, cross-sectional process introduces left truncation. A data is described as left-truncated if its time of interest is larger or equal to a fixed time. It is in this context this thesis has been elaborated. The considered estimation problems for such data will be studied with a nonparametric or semiparametric approach. An approach is nonparametric or semiparametric if none assumption is supposed about the belonging to parametric family for the time of interest distribution function, solely based on qualitative hypotheses. These estimation methods have thus the advantage to be based on weaker assumptions in comparison with the parametric approaches. The aim of the different researches developed in this thesis is to improve the current estimation techniques. This thesis is organised in four parts. The first part (first chapter) determines the context of our researches through practical examples and a significant but not exhaustive literature overview as well as our motivation about the different researches presented in this thesis. To conclude this first part, our contributions in these researches are briefly explained. The second part (second chapter) presents a new estimation procedure for the parameters of the parametric conditional variance in the heteroscedastic regression situation applied to right-censored data. This procedure constructs artificial data to replace censored data exploiting a heteroscedastic regression model and then defines the optimal parameters from the least squares method. The interest of this research is to fill a gap in the current literature. The third part (third and fourth chapters) studies, in a regression context, the cross-sectional data, i.e. left-truncated and right-censored data, where the conditional truncation distribution function is supposed to be known. The innovation of the method proposed here consists in the use of information contained in the conditional truncation distribution function for the nonparametric estimation methods. Finally, the fourth part (fifth chapter) is devoted to the cross-sectional data examination but this time for nonparametric estimation of the time of interest distribution function. In this chapter, the truncation distribution function is supposed to belong to a parametric family and not known anymore. The relevance of this approach is due to this weaker assumption than one in the above part. This information about the truncation distribution function is also introduced in the nonparametric estimation. This thesis concludes with a set of suggestions related to possible future researches in these statistical fields. [less ▲]

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See detailFrom centralization to local policies: design reform dynamics in Belgium and the creation of Antwerp's Higher Institute (1830-1914)
Prina, Daniela ULg

in Tradition, Transition, Trajectories: Major or Minor Influences? ICDHS 9th International Conference for Design History and Design Studies 2014, Conference Proceedings (2014)

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See detailFrom Claim to Rights. Langage, politique et droit
Pieret, Denis ULg

in Dissensus (2009), 3

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See detailFrom climatic niche conservatism to spatial predictions: what can invasive mosses tell us?
Mateo, R.G.; Broennimann, O.; Petitpierre, B. et al

in Ecography (2014), 37

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See detailFrom Community Sanctions to Restorative Justice. The Belgian example.
Lauwaert, Katrien ULg; Peters, Tony; Aertsen, Ivo et al

in Annual Report for 2002 and Resources Material Series N°61 (2003)

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See detailFrom compensatory education to mastery learning
Beckers, Jacqueline ULg; Detheux, Monique; Leclercq, Elise ULg et al

in Educational Review (1974), 3

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See detailFrom comprehension to literacy : thirty years of reading assessment
Lafontaine, Dominique ULg

in Stephens, Maria; Moskowitz, Jay (Eds.) Comparing learning outcomes : international assessment and education policy (2004)

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See detailFrom content distribution networks to content networks—issues and challenges
Plagemann, T.; Goebel, V.; Mauthe, A. et al

in Computer Communications (2006), 29(5), 551--562

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See detailFrom crescent to ring, mitotic spindle orientation in vertebrate neuroepithelial cells
Peyre, Elise ULg; Morin, Xavier

Scientific conference (2009, May)

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