7 resultados para Shrinkage Estimators
em Universidade do Minho
Resumo:
This study deals with the characterization of masonry mortars produced with different binders and sands. Several properties of the mortars were determined, like consistence, compressive and flexural strengths, shrinkage and fracture energy. By varying the type of binder (Portland cement, hydrated lime and hydraulic lime) and the type of sand (natural or artificial), it was possible to draw some conclusions about the influence of the composition on mortars properties. The results showed that the use of Portland cement makes the achievement of high strength classes easier. This was due to the slower hardening of lime compared with cement. The results of fracture energy tests showed much higher values for artificial sand mortars when compared with natural sand ones. This is due to the higher roughness of artificial sand particles which provided better adhesion between sand and binder.
Resumo:
A modificação térmica tem-se revelado um método eficaz na melhoria da durabilidade de elementos de madeira. Até ao momento, as aplicações da madeira termicamente modificada (MTM) têm sido limitadas a revestimentos já que o tratamento térmico de tratamento conduz a uma redução significativa das resistências mecânicas da madeira. Contudo, este tratamento térmico poderá valorizar e potenciar a utilização de espécies de madeira menos utilizadas na construção, como são o Eucalipto e o Pinho bravo nacional. Com o objetivo de avaliar o efeito do tratamento térmico nas espécies referidas e, complementarmente, na madeira de Faia e Freixo, realizou-se uma campanha experimental composta por ensaios de caracterização mecânica (compressão paralela às fibras e flexão) e de estabilidade dimensional (retração, inchamento e teor de água de equilíbrio (TAE)). Para efeitos de comparação, todos os ensaios envolveram séries de provetes de cada espécie de madeira natural e MTM. Os resultados obtidos são coerentes com a bibliografia disponível, o aumento da estabilidade dimensional, assim como a diminuição do TAE e das propriedades mecânicas de flexão foram verificadas, permitindo, assim, avaliar a influência da modificação térmica nas propriedades de espécies de madeira presentes em Portugal.
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Tese de Doutoramento - Civil Engineering
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The receiver-operating characteristic (ROC) curve is the most widely used measure for evaluating the performance of a diagnostic biomarker when predicting a binary disease outcome. The ROC curve displays the true positive rate (or sensitivity) and the false positive rate (or 1-specificity) for different cut-off values used to classify an individual as healthy or diseased. In time-to-event studies, however, the disease status (e.g. death or alive) of an individual is not a fixed characteristic, and it varies along the study. In such cases, when evaluating the performance of the biomarker, several issues should be taken into account: first, the time-dependent nature of the disease status; and second, the presence of incomplete data (e.g. censored data typically present in survival studies). Accordingly, to assess the discrimination power of continuous biomarkers for time-dependent disease outcomes, time-dependent extensions of true positive rate, false positive rate, and ROC curve have been recently proposed. In this work, we present new nonparametric estimators of the cumulative/dynamic time-dependent ROC curve that allow accounting for the possible modifying effect of current or past covariate measures on the discriminatory power of the biomarker. The proposed estimators can accommodate right-censored data, as well as covariate-dependent censoring. The behavior of the estimators proposed in this study will be explored through simulations and illustrated using data from a cohort of patients who suffered from acute coronary syndrome.
Resumo:
In longitudinal studies of disease, patients may experience several events through a follow-up period. In these studies, the sequentially ordered events are often of interest and lead to problems that have received much attention recently. Issues of interest include the estimation of bivariate survival, marginal distributions and the conditional distribution of gap times. In this work we consider the estimation of the survival function conditional to a previous event. Different nonparametric approaches will be considered for estimating these quantities, all based on the Kaplan-Meier estimator of the survival function. We explore the finite sample behavior of the estimators through simulations. The different methods proposed in this article are applied to a data set from a German Breast Cancer Study. The methods are used to obtain predictors for the conditional survival probabilities as well as to study the influence of recurrence in overall survival.
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Dissertação de mestrado integrado em Engenharia Civil
Resumo:
Dissertação de mestrado em Estatística