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Galanis, Miltos (author)
In this thesis, we explore the structure of consistent bootstrap statistics in hypothesis testing. Bootstrap, as a very useful technique when theoretical distributions are not available or when the sample size is small, enjoys a lot of interest from applied statisticians. Historically, guidelines for performing Bootstrap have been proposed. One...
master thesis 2023
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Marrone, Camillo (author)
This thesis investigates the robustness of multivariate S-estimators, which are statistical methods used to estimate the location and covariance parameters of multivariate distributions. Outliers, or atypical observations, can significantly impact statistical analyses, leading to incorrect conclusions. Robust methods, such as S-estimators, aim...
bachelor thesis 2023
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Sofokleous, Irene (author)
Flat glass is a material which is used extensively in almost all the buildings, mainly as infill for windows or facade panels. However, neither glass production nor its recycling are sustainable processes, as both incorporate the use of gas furnaces, which produce high amounts of CO2 emissions. Thus, the re-use of glass seems the only way to...
master thesis 2022
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El Ouasgiri, Mohammed (author)
In this thesis, we use data science / statistical techniques to better understand the energy consumption behind a powder drying facility located in Zwolle, as part of Abbott's initiative to better manage its energy consumption. As powder drying is by far the facility's most energy intensive process, this project therefore focuses exclusively on...
master thesis 2022
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Neves Almeida Lopes, Tamira (author)
When looking up to the sky and trying to detect the photons of far away stars that are still in formation, we can get access to knowledge we never had before. In order to do this, we must make sure we truly understand the nature of how photons behave in accordance to each other and to our detectors.In quantum optics we can see that these photons...
bachelor thesis 2022
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Barták, Patrik (author)
Causal machine learning deals with the inference of causal relationships between variables in observational datasets. <br/>For certain datasets, it is correct to assume a causal graph where information about unobserved confounders can only be obtained through noisy proxies, and CEVAE aims to address this case. <br/>The number of dimensions of...
bachelor thesis 2022
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Griessen, Ronald (author), Dam, B. (author)
In many experimental investigations of thermodynamic equilibrium or kinetic properties of series of similar reactions it is found that the enthalpies and entropies derived from Van ′t Hoff or Arrhenius plots exhibit a strong linear correlation. The origin of this Enthalpy-Entropy compensation, which is strongly related to the coalescence...
journal article 2021
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Pan, Yutrao (author), Hicks, M.A. (author), Broere, W. (author)
Artificial barriers are widely used to prevent leakages. However, due to construction errors during the wall installation, passages with small dimensions may occasionally penetrate through the barrier, undermining its tightness. A three-dimensional discretized algorithm (TDA) is proposed for quantitatively estimating the transient-state...
journal article 2021
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van der Voort, J.C. (author)
The goal of this thesis is to estimate parameters in a bidimensional Ornstein-Uhlenbeck process, namely a diffusion model which can be found in Favetto and Samson (2010), which considers plasma and interstitium concentrations. We first look at a general linear stochastic differential equation and some properties. Then we simulate possible paths...
bachelor thesis 2020
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Vittorietti, M. (author)
This thesis aims at the development of physical relations between the intricate 3D features of metallic microstructures and the mechanical properties of the material. For understanding which are the microstructural determinants of the resultingmechanical behaviour of metals, a deep quantitative characterisation of the microstructure is needed....
doctoral thesis 2020
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Cheung, Tim (author)
In this modern age, data is being generated constantly and data is being saved for analysis everywhere. In the maritime industry, interest in the analysis of ship data has grown over the years. In this thesis, we will take a look at AIS data coupled with sea state data. AIS data is data generated from the ship, concerning the ship locations,...
master thesis 2020
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Griessen, Ronald (author), Boelsma, Christiaan (author), Schreuders, H. (author), Broedersz, Chase P. (author), Gremaud, Robin (author), Dam, B. (author)
Enthalpy-entropy compensation (EEC) is very often encountered in chemistry, biology and physics. Its origin is widely discussed since it would allow, for example, a very accurate tuning of the thermodynamic properties as a function of the reactants. However, EEC is often discarded as a statistical artefact, especially when only a limited...
journal article 2020
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Gunes, Bilal (author)
doctoral thesis 2018
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Roth, M. (author), Buishand, T.A. (author), Jongbloed, G. (author)
Rainfall extremes are thought to have increased over recent years. Typically linear trends have been considered to describe the temporal evolution of high quantiles of the daily rainfall distribution. For long records it is important to allow more flexibility. Quantile regression methods are available to estimate monotone trends for single...
journal article 2015
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De Bruin, J. (author)
Record linkage is the procedure of bringing together information from two or more records that are believed to belong to the same entity. The linking of a pair of records without identifier should be based on attributes both records have in common. The probabilistic framework described by Fellegi and Sunter (1969) can be used for record linkage....
master thesis 2015
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Becker, T. (author)
In this thesis several methods for variable selection for statistical models are examined. There is specific attention for variable selection in so called "dependent data", in which there exists a strong correlation between the independent variables.
bachelor thesis 2015
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Roseboom, J. (author)
Tijdens het varen zijn er verschillende data gemeten. In deze data zitten fouten. Vanwege de fouten zijn er aannames opgesteld. De aannames worden getoetst. De data wordt gecorrigeerd, gebruikmakend van gewogen gemiddelden en kubische splines
bachelor thesis 2015
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Smalbil, P.J. (author)
In statistics one often encounters the problem of estimating a function based on a given dataset. Sometimes shape properties such as monotonicity of the function are known. This property can be used in a non-parametric regression model. The iterative convex minorant(ICM) algorithm can be used to compute an estimate of a convex regression...
bachelor thesis 2015
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Velthoen, J.J. (author)
In extreme value theory the focus is on the tails of the distribution. The main focus is to estimate the tail distribution for a rounded data set. To estimate this tail distribution the extreme value index should be estimated, but due to the rounded data this extreme value index oscillates heavily. Therefore a correct estimate can not be...
bachelor thesis 2014
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Baart, F. (author)
This thesis answers the question "How can we show and improve our confidence in coastal forecasts?", by providing four examples of common coastal forecasts. The first example shows how to improve the estimate of the one in ten thousand year storm-surge level. The three dimensional reconstruction, based on paintings, shows that structural erosion...
doctoral thesis 2013
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