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Thematische Bibliographien / Statistical Uncertainty Analysis / Dissertationen

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Dissertationen zum Thema „Statistical Uncertainty Analysis“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 15. Februar 2022

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1

Mohammed, Adnan Dawood. "A study of uncertainty in applications of statistical energy analysis." Thesis, University of Southampton, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292436.

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2

Lingg, Andrew James. "Statistical Methods for Image Change Detection with Uncertainty." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1357249370.

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Ellis, Amanda R. "ACCOUNTING FOR MATCHING UNCERTAINTY IN PHOTOGRAPHIC IDENTIFICATION STUDIES OF WILD ANIMALS." UKnowledge, 2018. https://uknowledge.uky.edu/statistics_etds/31.

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I consider statistical modelling of data gathered by photographic identification in mark-recapture studies and propose a new method that incorporates the inherent uncertainty of photographic identification in the estimation of abundance, survival and recruitment. A hierarchical model is proposed which accepts scores assigned to pairs of photographs by pattern recognition algorithms as data and allows for uncertainty in matching photographs based on these scores. The new models incorporate latent capture histories that are treated as unknown random variables informed by the data, contrasting pa

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Falta, Michael. "Statistical and Computational Methods to Assess Uncertainty and Risk in Accounting." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16053/.

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Informed economic decisions are made on the basis of accounting data. It is therefore crucial to have rigorous and scientific approaches for measuring, modelling and forecasting accounting numbers. Dr Falta's research was motivated by two observations. Firstly, in accounting practice, decision-making often relies on subjective quantifications and forecasts of business activities and, thus, does not account for uncertainty in a rational way. Secondly, there are some academic foundations for statistical approaches to accounting, yet none has been developed carefully enough for results to p

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Venkatesan, Sreedhar, and Hanumantha Raju Hariprasad Banglore. "Probabilistic Analysis of Brake Noise : A Hierarchical Multi-fidelity Statistical Approach." Thesis, Linköpings universitet, Mekanik och hållfasthetslära, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-151009.

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Computer Aided Engineering driven analysis is gaining grounds in automotive industry. Prediction of brake noise using CAE techniques has become populardue to its overall low cost as compared to physical testing. However, the presence of several uncertain parameters which affect brake noise and also the lack of basic understanding about brake noise, makes it difficult to make reliable decisions based on CAE analysis. Therefore, the confidence level in CAE techniques has to be increased to ensure reliability and robustness in the CAE solutions which support design work. One such way to achieve r

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Herman, Joseph L. "Multiple sequence analysis in the presence of alignment uncertainty." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:88a56d9f-a96e-48e3-b8dc-a73f3efc8472.

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Sequence alignment is one of the most intensely studied problems in bioinformatics, and is an important step in a wide range of analyses. An issue that has gained much attention in recent years is the fact that downstream analyses are often highly sensitive to the specific choice of alignment. One way to address this is to jointly sample alignments along with other parameters of interest. In order to extend the range of applicability of this approach, the first chapter of this thesis introduces a probabilistic evolutionary model for protein structures on a phylogenetic tree; since protein stru

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Hanittinan, Patinya. "Statistical analysis of river discharge change in the Indochinese Peninsula using largo ensemble future climate projections." Kyoto University, 2017. http://hdl.handle.net/2433/227600.

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8

He, Wenbin. "Exploration and Analysis of Ensemble Datasets with Statistical and Deep Learning Models." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1574695259847734.

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9

Patel, Jiten. "Optimal design of mesostructured materials under uncertainty." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31829.

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Thesis (M. S.)--Mechanical Engineering, Georgia Institute of Technology, 2010.<br>Committee Chair: Choi, Seung-Kyum; Committee Member: Muhanna, Rafi; Committee Member: Rosen, David. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Sittichok, Ketvara. "Improving Seasonal Rainfall and Streamflow Forecasting in the Sahel Region via Better Predictor Selection, Uncertainty Quantification and Forecast Economic Value Assessment." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34229.

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The Sahel region located in Western Africa is well known for its high rainfall variability. Severe and recurring droughts have plagued the region during the last three decades of the 20th century, while heavy precipitation events (with return periods of up to 1,200 years) were reported between 2007 and 2014. Vulnerability to extreme events is partly due to the fact that people are not prepared to cope with them. It would be of great benefit to farmers if information about the magnitudes of precipitation and streamflow in the upcoming rainy season were available a few months before; they cou

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Yoon, Hyunse. "Phase-averaged stereo-PIV flow field and force/moment/motion measurements for surface combatant in PMM maneuvers." Diss., University of Iowa, 2009. https://ir.uiowa.edu/etd/453.

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Towing-tank experiments are performed for a surface combatant as it undergoes static and dynamic planar motion mechanism maneuvers in calm water. The data includes global forces/moment/motions and phase-averaged local flow-fields, and uncertainty assessment. The geometry is DTMB model 5512, which is a 1/46.6 scale geosym of DTMB model 5415, with L = 3.048 m. The experiments are performed in a 3.048 × 3.048 × 100 m towing tank. The measurement system features a custom designed planar motion mechanism, a towed stereoscopic particle image velocimetry system, a Krypton contactless motion tracker,

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Aksu, Alper. "BENCH-TOP VALIDATION OF INTELLIGENT MOUTH GUARD." Cleveland State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=csu1373377234.

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13

Machado, Marcela Rodrigues. "Quantificação de incertezas e análise de confiabilidade em problemas mecânicos." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/263234.

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Orientador: José Maria Campos dos Santos<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica<br>Made available in DSpace on 2018-08-20T08:28:53Z (GMT). No. of bitstreams: 1 Machado_MarcelaRodrigues_M.pdf: 4137265 bytes, checksum: a1528ce4c60e2c600667f3691bb22fbf (MD5) Previous issue date: 2012<br>Resumo: Esta trabalho, trata do estudo de quantificação de incertezas ou aleatoriedade existentes em sistemas mecânicos. Neste sentido, o método de expansão em Polinômio de Caos e a simulação de Monte Carlos são aplicados para obter a resposta de um proble

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Noguer, Nicolas. "Aide à l'analyse fiabiliste d'une pile à combustible par la simulation." Thesis, Belfort-Montbéliard, 2015. http://www.theses.fr/2015BELF0261/document.

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Le fonctionnement de la pile à combustible (PAC) de type PEM (à membrane polymère) est encore soumis à de nombreuses incertitudes, aux natures différentes, qui affectent ses performances électriques, sa fiabilité et sa durée de vie. L'objectif général de cette thèse est de proposer une méthode d'aide à l'évaluation de la fiabilité des PAC par la simulation ; la fiabilité étant vue ici comme la garantie d’accéder à un niveau de performance électrique donné dans les différentes conditions d’usage envisagées pour la PAC. La démarche proposée s’appuie sur un couplage physico-fiabiliste où la compl

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Anderson, Travis V. "Efficient, Accurate, and Non-Gaussian Error Propagation Through Nonlinear, Closed-Form, Analytical System Models." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2675.

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Uncertainty analysis is an important part of system design. The formula for error propagation through a system model that is most-often cited in literature is based on a first-order Taylor series. This formula makes several important assumptions and has several important limitations that are often ignored. This thesis explores these assumptions and addresses two of the major limitations. First, the results obtained from propagating error through nonlinear systems can be wrong by one or more orders of magnitude, due to the linearization inherent in a first-order Taylor series. This thesis prese

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Johnson, David G. "Representations of uncertainty in risk analysis." Thesis, Loughborough University, 1998. https://dspace.lboro.ac.uk/2134/31941.

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Uncertainty in situations involving risk is frequently modelled by assuming a plausible form of probability distribution for the uncertain quantities involved, and estimating the relevant parameters of that distribution based on the knowledge and judgement of informed experts or decision makers. The distributions assumed are usually uni-modal (and often bell-shaped) around some most likely value, with the Normal, Beta, Gamma and Triangular distributions being popular choices.

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Brown, Jeffrey M. "Reduced Order Modeling Methods for Turbomachinery Design." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1229962254.

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Brathwaite, Joy Danielle. "Value-informed space systems design and acquisition." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/43748.

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Investments in space systems are substantial, indivisible, and irreversible, characteristics that make them high-risk, especially when coupled with an uncertain demand environment. Traditional approaches to system design and acquisition, derived from a performance- or cost-centric mindset, incorporate little information about the spacecraft in relation to its environment and its value to its stakeholders. These traditional approaches, while appropriate in stable environments, are ill-suited for the current, distinctly uncertain and rapidly changing technical, and economic conditions; as such,

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Michelioudakis, Dimitrios. "Uncertainty analysis of depth predictions from seismic reflection data using Bayesian statistics." Thesis, Durham University, 2018. http://etheses.dur.ac.uk/12878/.

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Velocity model building is a critical step in seismic reflection data processing. An optimum velocity field can lead to well focused images in time or depth domains. Taking into account the noisy and band limited nature of the seismic data, the computed velocity field can be considered as our best estimate of a set of possible velocity fields. Hence, all the calculated depths and the images produced are just our best approximation of the true subsurface. This study examines the quantification of uncertainty of the depths to drilling targets from two dimensional (2D) seismic reflection data usi

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Windholz, Thomas. "Strategies for Handling Spatial Uncertainty due to Discretization." Fogler Library, University of Maine, 2001. http://www.library.umaine.edu/theses/pdf/Windholz.pdf.

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Mahn, Jeffrey. "Prediction of Flanking Noise Transmission in Lightweight Building Constructions: A Theoretical and Experimental Evaluation of the Application of EN12354-1." Thesis, University of Canterbury. Department of Mechanical Engineering, 2009. http://hdl.handle.net/10092/4426.

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The standard, EN12354-1 describes a simplified statistical energy analysis (SEA) model to predict the apparent sound reduction index between two rooms inclusive of the contributions of the flanking paths. There is interest worldwide in applying the EN12354 model to lightweight building elements. However, lightweight elements typically do not meet the requirements of an SEA subsystem and therefore applying the EN12354 model to these elements may result in inaccurate predictions. The purpose of this investigation was to systematically evaluate the application of the EN12354 model to lightweig

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Hudson, Antonio R. "Sensitivity and Uncertainty Analysis of Expected Loss Costs in Hurricane Models." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/681.

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The Public Hurricane Model developed at FIU by a team of scientists has to be certified by the Florida Commission on Hurricane Loss Projection Methodology. The commission ensures that all hurricane loss models meet certain standards, as models are used extensively by regulators and insurance firms to produce inputs used in the homeowner insurance rate making process. The focus of this thesis is to conduct sensitivity and uncertainty analysis through the calculation of standardized regression coefficients and expected percentage reductions in expected loss costs in order to meet the commission

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Xie, Xike, and 谢希科. "Evaluating nearest neighbor queries over uncertain databases." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B4784954X.

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Nearest Neighbor (NN in short) queries are important in emerging applications, such as wireless networks, location-based services, and data stream applications, where the data obtained are often imprecise. The imprecision or imperfection of the data sources is modeled by uncertain data in recent research works. Handling uncertainty is important because this issue affects the quality of query answers. Although queries on uncertain data are useful, evaluating the queries on them can be costly, in terms of I/O or computational efficiency. In this thesis, we study how to efficiently evalua

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Sosina, Sobambo. "Analysis, Modeling, and Optimal Experimental Design under Uncertainty: From Carbon Nano-Structures to 3D Printing." Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493439.

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In this thesis, we develop approaches for carrying out inference and model-based experimental design, under both internal and external sources of uncertainty. Specifically, in Chapter 1, we develop a stochastic growth model for the carbon-based super material, Graphene, and propose approaches for relating controllable experimental factors to the underlying growth mechanism. In Chapter 2 we develop a unified framework for carrying out response surface optimization when the input factors are noisy, and in Chapter 3, we explore the problem of designing optimal experiments, under the extra uncert

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March, Jack. "Determining the location of an impact site from bloodstain spatter patterns : computer-based analysis of estimate uncertainty." Thesis, University of Nottingham, 2005. http://eprints.nottingham.ac.uk/10166/.

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The estimation of the location in which an impact event took place from its resultant impact spatter bloodstain pattern can be a significant investigative issue in the reconstruction of a crime scene. The bloodstain pattern analysis methods through which an estimate is constructed utilise the established bloodstain pattern analysis principles of spatter bloodstain directionality, impact angle calculation, and straight-line trajectory approximation. Uncertainty, however, can be shown to be present in the theoretical definition and practical approximation of an impact site; the theoretical justi

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Duan, Chunming. "A unified decision analysis framework for robust system design evaluation in the face of uncertainty." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-06062008-170155/.

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Zhang, Peiwu, and 张培武. "Voronoi-based nearest neighbor search for multi-dimensional uncertain databases." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B49618179.

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In Voronoi-based nearest neighbor search, the Voronoi cell of every point p in a database can be used to check whether p is the closest to some query point q. We extend the notion of Voronoi cells to support uncertain objects, whose attribute values are inexact. Particularly, we propose the Possible Voronoi cell (or PV-cell). A PV-cell of a multi-dimensional uncertain object o is a region R, such that for any point p ∈ R, o may be the nearest neighbor of p. If the PV-cells of all objects in a database S are known, they can be used to identify objects that have a chance to be the nearest neig

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Eriksson, Olle. "Sensitivity and Uncertainty Analysis Methods : with Applications to a Road Traffic Emission Model." Doctoral thesis, Linköping : Linköpings universitet, Deparment of Mathematics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8315.

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Fang, Qijun. "Hierarchical Bayesian Benchmark Dose Analysis." Diss., The University of Arizona, 2014. http://hdl.handle.net/10150/316773.

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An important objective in statistical risk assessment is estimation of minimum exposure levels, called Benchmark Doses (BMDs) that induce a pre-specified Benchmark Response (BMR) in a target population. Established inferential approaches for BMD analysis typically involve one-sided, frequentist confidence limits, leading in practice to what are called Benchmark Dose Lower Limits (BMDLs). Appeal to hierarchical Bayesian modeling and credible limits for building BMDLs is far less developed, however. Indeed, for the few existing forms of Bayesian BMDs, informative prior information is seldom inco

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Quigley, Joseph J. "Statistically-based two-dimensional finite element analysis of problems with uncertain stiffness and strength properties." Thesis, Massachusetts Institute of Technology, 1986. https://hdl.handle.net/1721.1/123098.

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Thesis (Mech. E.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1986.<br>Bibliography: leaf 143.<br>by Joseph John Quigley IV.<br>Thesis (Mech. E.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1986.

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Minunno, Francesco. "On the use of the bayesian approach for the calibration, evaluation and comparison of process-based forest models." Doctoral thesis, ISA/UL, 2014. http://hdl.handle.net/10400.5/7350.

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Doutoramento em Engenharia Florestal e dos Recursos Naturais - Instituto Superior de Agronomia<br>Forest ecosystems have been experiencing fast and abrupt changes in the environmental conditions, that can increase their vulnerability to extreme events such as drought, heat waves, storms, fire. Process-based models can draw inferences about future environmental dynamics, but the reliability and robustness of vegetation models are conditional on their structure and their parametrisation. The main objective of the PhD was to implement and apply modern computational techniques, mainly based

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Horiguchi, Akira. "Bayesian Additive Regression Trees: Sensitivity Analysis and Multiobjective Optimization." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1606841319315633.

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Chung, Joonho. "Empirical study on the effects of monetary policy on the exchange rates : the role of uncertainty in monetary policy /." free to MU campus, to others for purchase, 1998. http://wwwlib.umi.com/cr/mo/fullcit?p9901229.

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Dankwah, Charles O. "Investigating an optimal decision point for probability bounds analysis models when used to estimate remedial soil volumes under uncertainty at hazardous waste sites." ScholarWorks, 2010. https://scholarworks.waldenu.edu/dissertations/776.

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Hazardous waste site remediation cost estimation requires a good estimate of the contaminated soil volume. The United States Environmental Protection Agency (U.S. EPA) currently uses deterministic point values to estimate soil volumes but the literature suggests that probability bounds analysis (PBA) is the more accurate method to make estimates under uncertainty. The underlying statistical theory is that they are more accurate than deterministic estimates because probabilistic estimates account for data uncertainties. However, the literature does not address the problem of selecting an optima

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Schustek, Philipp. "Probabilistic models for human judgments about uncertainty in intuitive inference tasks." Doctoral thesis, Universitat Pompeu Fabra, 2018. http://hdl.handle.net/10803/586057.

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Updating beliefs to maintain coherence with observational evidence is a cornerstone of rationality. This entails the compliance with probabilistic principles which acknowledge that real-world observations are consistent with several possible interpretations. This work presents two novel experimental paradigms and computational analyses of how human participants quantify uncertainty in perceptual inference tasks. Their behavioral responses feature non-trivial patterns of probabilistic inference such as reliability-based belief updating over hierarchical state representations of the environment.

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Puigvert, Gutiérrez Josep Maria. "3-month Euribor expectations and uncertainty using option-implied probability densities." Doctoral thesis, Universitat de Barcelona, 2016. http://hdl.handle.net/10803/396136.

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The evolution of market interest rates is a key component of the trans-mission of monetary policy. Central Banks, market participants and monetary policy practitioners make use of the information contained in financial prices to better understand market interest rates develop-ments. Such a comprehensive and quantitative assessment might also be derived from option-implied probability density functions (PDFs), and in particular when applied to Euribor options, which constitute a natural complement to the existing financial market indicators. A number of methods for constructing these option-

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Vaicenavicius, Juozas. "Optimal Sequential Decisions in Hidden-State Models." Doctoral thesis, Uppsala universitet, Matematiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-320809.

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This doctoral thesis consists of five research articles on the general topic of optimal decision making under uncertainty in a Bayesian framework. The papers are preceded by three introductory chapters. Papers I and II are dedicated to the problem of finding an optimal stopping strategy to liquidate an asset with unknown drift. In Paper I, the price is modelled by the classical Black-Scholes model with unknown drift. The first passage time of the posterior mean below a monotone boundary is shown to be optimal. The boundary is characterised as the unique solution to a nonlinear integral equatio

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Geraci, Gianluca. "Schemes and Strategies to Propagate and Analyze Uncertainties in Computational Fluid Dynamics Applications." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2013. http://tel.archives-ouvertes.fr/tel-00954413.

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In this manuscript, three main contributions are illustrated concerning the propagation and the analysis of uncertainty for computational fluid dynamics (CFD) applications. First, two novel numerical schemes are proposed : one based on a collocation approach, and the other one based on a finite volume like representation in the stochastic space. In both the approaches, the key element is the introduction of anon-linear multiresolution representation in the stochastic space. The aim is twofold : reducing the dimensionality of the discrete solution and applying a time-dependent refinement/coarse

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Dahlin, Johan. "Community Detection in Imperfect Networks." Thesis, Umeå universitet, Institutionen för fysik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-44381.

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Community detection in networks is an important area of current research with many applications. Finding community structures is a challenging task and despite significant effort no satisfactory method has been found. Different methods find different communities in the same network and with different computational requirements. To counter this problem, several different methods are often used and the results compared manually. In this thesis, we present three different methods to instead merge the results from different methods (or several runs from the same algorithm) to find better estimates

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Dyberg, Johanna. "Osäkerhetsbedömning av skjuvhållfasthet i lera längs med Göta älv." Thesis, KTH, Jord- och bergmekanik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302656.

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Vid geotekniska arbeten är osäkerheter oundvikliga, men i stället för att hantera dessa som okända parametrar kan geotekniker med hjälp av bayesiansk statistik hantera geotekniska osäkerheter som slumpmässiga variabler med en sannolikhetsfördelning. I detta arbete har den bayesianska metoden utökad multivariabelanalys (EMA) tillämpats för bedömning av odränerad skjuvhållfasthet (𝑐u) i leror längs med Göta älv. Analysen har genomförts för områdena Smådala och Sörängen lokaliserade i lilla Edet längs med Göta älv, med mätdata från fem geotekniska mätmetoder i fält- och laboratorium: CPT-sonderin

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Ene, Simon. "Analys av osäkerheter vid hydraulisk modellering av torrfåror." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448369.

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Hydraulisk modellering är ett viktigt verktyg vid utvärdering av lämpliga åtgärder för torrfåror. Modelleringen påverkas dock alltid av osäkerheter och om dessa är stora kan en modells simuleringsresultat bli opålitligt. Det kan därför vara viktigt att presentera dess simuleringsresultat tillsammans med osäkerheter. Denna studie utreder olika typer av osäkerheter som kan påverka hydrauliska modellers simuleringsresultat. Dessutom utförs känslighetsanalyser där en andel av osäkerheten i simuleringsresultatet tillskrivs de olika inmatningsvariablerna som beaktas. De parametrar som ingår i analys

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Tran, Tuan Anh. "Cadre unifié pour la modélisation des incertitudes statistiques et bornées : application à la détection et isolation de défauts dans les systèmes dynamiques incertains par estimation." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30292/document.

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Cette thèse porte sur l'estimation d'état des systèmes dynamiques à temps discret dans le contexte de l'intégration d'incertitudes statistiques et à erreurs bornées. Partant du filtre de Kalman intervalle (IKF) et de son amélioration (iIKF), nous proposons un algorithme de filtrage pour des systèmes linéaires dont les bruits sont gaussiens incertains, c'est-à-dire de moyenne et matrice de covariance définies par leur appartenance à des intervalles. Ce nouveau filtre de Kalman intervalle (UBIKF) repose sur la recherche d'une matrice de gain ponctuelle minimisant une borne majorante de l'ensembl

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Oger, Julie. "Méthodes probabilistes pour l'évaluation de risques en production industrielle." Phd thesis, Université François Rabelais - Tours, 2014. http://tel.archives-ouvertes.fr/tel-00982740.

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Dans un contexte industriel compétitif, une prévision fiable du rendement est une information primordiale pour déterminer avec précision les coûts de production et donc assurer la rentabilité d'un projet. La quantification des risques en amont du démarrage d'un processus de fabrication permet des prises de décision efficaces. Durant la phase de conception d'un produit, les efforts de développement peuvent être alors identifiés et ordonnés par priorité. Afin de mesurer l'impact des fluctuations des procédés industriels sur les performances d'un produit donné, la construction de la probabilité d

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Chuang, Chia-Min, and 莊家閔. "Uncertainty Analysis of Statistical Downscaling Model for Climate Change." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/12403432173777290744.

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碩士<br>中原大學<br>土木工程研究所<br>100<br>In order to understand the situations that rainfall and temperature may change in the future under the influence of climate change in Taiwan, this research develops a two-step statistical downscaling model (TSSDM) combining space downscaling model (SDM) and time downscaling model (TDM) with sampling theory. In this research, the meteorological stations of Tamsui, Taichung, Kaohsiung and Hualien are employed as cases studies. The rainfall and temperature data from the Central Weather Bureau (CWB), and the meteorological factors from General Circulation Models a

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(11206167), Somnooma Hilda Marie Bernadette Ibriga. "Estimation and Uncertainty Quantification in Tensor Completion with Side Information." Thesis, 2021.

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<div>This work aims to provide solutions to two significant issues in the effective use and practical application of tensor completion as a machine learning method. The first solution addresses the challenge in designing fast and accurate recovery methods in tensor completion in the presence of highly sparse and highly missing data. The second takes on the need for robust uncertainty quantification methods for the recovered tensor.</div><div><br></div><div><b>Covariate-assisted Sparse Tensor Completion</b></div><div><b><br></b></div><div>In the first part of the dissertation, we aim to provabl

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Qian, Huajie. "Uncertainty Quantification in Data-Driven Simulation and Optimization: Statistical and Computational Efficiency." Thesis, 2020. https://doi.org/10.7916/d8-mdgf-q478.

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Models governing stochasticity in various systems are typically calibrated from data, therefore are subject to statistical errors/uncertainties which can lead to inferior decision making. This thesis develops statistically and computationally efficient data-driven methods for problems in stochastic simulation and optimization to quantify and hedge impacts of these uncertainties. The first half of the thesis focuses on efficient methods for tackling input uncertainty which refers to the simulation output variability arising from the statistical noise in specifying the input models. Due t

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Post, van der Burg Max. "Pseudorandom walks in ecological analysis capturing uncertainty for better estimation and decision making /." 2008. http://proquest.umi.com/pqdweb?did=1633768271&sid=1&Fmt=2&clientId=14215&RQT=309&VName=PQD.

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Thesis (Ph.D.)--University of Nebraska-Lincoln, 2008.<br>Title from title screen (site viewed Feb. 17, 2009). PDF text: x, 145 p. : ill. (some col.) ; 2 Mb. UMI publication number: AAT 3331439. Includes bibliographical references. Also available in microfilm and microfiche formats.

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Mattern, Jann Paul. "Parameter, State and Uncertainty Estimation for 3-dimensional Biological Ocean Models." 2012. http://hdl.handle.net/10222/15330.

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Realistic physical-biological ocean models pose challenges to statistical techniques due to their complexity, nonlinearity and high dimensionality. In this thesis, statistical data assimilation techniques for parameter and state estimation are adapted and applied to biological models. These methods rely on quantitative measures of agreement between models and observations. Eight such measures are compared and a suitable multiscale measure is selected for data assimilation. Build on this, two data assimilation approaches, a particle filter and a computationally efficient emulator approach are t

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Sawlan, Zaid A. "Statistical Analysis and Bayesian Methods for Fatigue Life Prediction and Inverse Problems in Linear Time Dependent PDEs with Uncertainties." Diss., 2018. http://hdl.handle.net/10754/629731.

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This work employs statistical and Bayesian techniques to analyze mathematical forward models with several sources of uncertainty. The forward models usually arise from phenomenological and physical phenomena and are expressed through regression-based models or partial differential equations (PDEs) associated with uncertain parameters and input data. One of the critical challenges in real-world applications is to quantify uncertainties of the unknown parameters using observations. To this purpose, methods based on the likelihood function, and Bayesian techniques constitute the two main statisti

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Romero, Cuellar Jonathan. "Improving hydrological post-processing for assessing the conditional predictive uncertainty of monthly streamflows." Doctoral thesis, 2020. http://hdl.handle.net/10251/133999.

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[ES] La cuantificación de la incertidumbre predictiva es de vital importancia para producir predicciones hidrológicas confiables que soporten y apoyen la toma de decisiones en el marco de la gestión de los recursos hídricos. Los post-procesadores hidrológicos son herramientas adecuadas para estimar la incertidumbre predictiva de las predicciones hidrológicas (salidas del modelo hidrológico). El objetivo general de esta tesis es mejorar los métodos de post-procesamiento hidrológico para estimar la incertidumbre predictiva de caudales mensuales. Esta tesis pretende resolver dos problemas del pos

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