Gotowe bibliografie tematyczne / Uncertainty

Gotowa bibliografia na temat „Uncertainty”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 31 sierpnia 2024

Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych

Wybierz rodzaj źródła:

Spis treści

Zobacz listy aktualnych artykułów, książek, rozpraw, streszczeń i innych źródeł naukowych na temat „Uncertainty”.

Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.

Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.

Artykuły w czasopismach na temat "Uncertainty"

1

Corder, Matthew, i Martin Weale. "Uncertain Uncertainty". British Actuarial Journal 17, nr 3 (wrzesień 2012): 542–61. http://dx.doi.org/10.1017/s1357321712000323.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
2

Shelley, Charles J. "Uncertain about Uncertainty". Journal of Services Marketing 5, nr 4 (kwiecień 1991): 39–47. http://dx.doi.org/10.1108/08876049110035648.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
3

Jones, Caitlin. "Managing uncertainty, in uncertain times". InnovAiT: Education and inspiration for general practice 13, nr 10 (1.07.2020): 625. http://dx.doi.org/10.1177/1755738020937727.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
4

WONG., KAM L. "Uncertainty! Uncertainty!" Quality and Reliability Engineering International 3, nr 1 (styczeń 1987): 1–2. http://dx.doi.org/10.1002/qre.4680030102.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
5

Wang, Lihui, Yufu Ning, Xiumei Chen, Shukun Chen i Hong Huang. "Conditional Uncertainty Distribution of Two Uncertain Variables and Conditional Inverse Uncertainty Distribution". Symmetry 15, nr 8 (16.08.2023): 1592. http://dx.doi.org/10.3390/sym15081592.

Pełny tekst źródła
Streszczenie:
It is noted that some uncertain variables are independent while others are not. In general, there is a symmetrical relationship between independence and dependence among uncertain variables. The utilization of conditional uncertain measures as well as conditional uncertainty distributions proves highly efficacious in resolving uncertainties pertaining to an event subsequent to the acquisition of knowledge about other events. In this paper, the theorem about the conditional uncertainty distribution of two uncertain variables is proposed. It is demonstrated that the theorem holds regardless of whether the two variables are independent or not. In addition, it is also found that uncertainty distribution possesses an inherent inverse function when it is a regular uncertainty distribution within the framework of Uncertainty Theory; therefore, this paper delves into investigating the conditional inverse uncertainty distribution, including specific cases of the conditional inverse uncertainty distributions. Meanwhile, illustrative examples are applied to clarify the findings.
Style APA, Harvard, Vancouver, ISO itp.
6

Ridler, Nick, Yeou-Song Lee i David Blackham. "Feeling uncertain about uncertainty? [Member Benefits]". IEEE Microwave Magazine 9, nr 4 (sierpień 2008): 132–33. http://dx.doi.org/10.1109/mmm.2008.924785.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
7

Ekman, Ulrik, Daniela Agostinho, Nanna Bonde Thylstrup i Kristin Veel. "The uncertainty of the uncertain image". Digital Creativity 28, nr 4 (2.10.2017): 255–64. http://dx.doi.org/10.1080/14626268.2017.1391848.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
8

Johnson, Steven, i Anja Einseln. "An Uncertain Approach to Measurement Uncertainty". Forensic Science International: Synergy 1 (sierpień 2019): S2. http://dx.doi.org/10.1016/j.fsisyn.2019.06.008.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
9

Thompson, Michael. "Editorial. Uncertainty in an uncertain world". Analyst 120, nr 9 (1995): 117N. http://dx.doi.org/10.1039/an995200117n.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
10

Chen, Si, Guoqi Xie, Renfa Li i Keqin Li. "Uncertainty Theory Based Partitioning for Cyber-Physical Systems with Uncertain Reliability Analysis". ACM Transactions on Design Automation of Electronic Systems 27, nr 3 (31.05.2022): 1–19. http://dx.doi.org/10.1145/3490177.

Pełny tekst źródła
Streszczenie:
Reasonable partitioning is a critical issue for cyber-physical system (CPS) design. Traditional CPS partitioning methods run in a determined context and depend on the parameter pre-estimations, but they ignore the uncertainty of parameters and hardly consider reliability. The state-of-the-art work proposed an uncertainty theory based CPS partitioning method, which includes parameter uncertainty and reliability analysis, but it only considers linear uncertainty distributions for variables and ignores the uncertainty of reliability. In this paper, we propose an uncertainty theory based CPS partitioning method with uncertain reliability analysis. We convert the uncertain objective and constraint into determined forms; such conversion methods can be applied to all forms of uncertain variables, not just for linear. By applying uncertain reliability analysis in the uncertainty model, we for the first time include the uncertainty of reliability into the CPS partitioning, where the reliability enhancement algorithm is proposed. We study the performance of the reliability obtained through uncertain reliability analysis, and experimental results show that the system reliability with uncertainty does not change significantly with the growth of task module numbers.
Style APA, Harvard, Vancouver, ISO itp.
Więcej źródeł

Rozprawy doktorskie na temat "Uncertainty"

1

ONGARO, MALVINA. "Uncertainty for uncertain decision makers". Doctoral thesis, Università degli studi di Genova, 2022. https://hdl.handle.net/11567/1100017.

Pełny tekst źródła
Streszczenie:
First Chapter - While mainstream decision theory only allows for variations in the severity of uncertainty, the plurality of labels with which uncertainty has been referred to in the literature and the variety of doubts that decision makers can have seem to suggest that there are different types of uncertainty. Given the importance that uncertainty has in almost any decision, understanding this plurality can be helpful to decide effectively. I propose an account of uncertainty as based on a disagreement between reasons supporting alternative mental attitudes. Under this account, dealing with uncertainty means dealing with disagreement; however, this disagreement can be radical, i.e. persistent under ideal cognitive and epistemic conditions. When this is the case, the disagreement and therefore the uncertainty cannot be resolved with an increase in evidence. I draw a typology of uncertainty reflecting the conditions that must obtain for the possibility of radical disagreement, and I trace the role that each of the types identified plays in decision making.
Second Chapter - Decision theories have largely ignored the step of decision making in which the agent models the situation. Given that a decision can be represented with different models, and that these can lead to different recommendations, then without a principled way to assess them the agent’s choice is under-determined. As models require the agent to select the aspects that matter to the decision, an account of rational decision modelling must include a notion of relevance. I propose that the most rational model is the one taking into account all and only the considerations relevant for the decision. I define relevance for a decision as a matter of providing reasons for some option, and I identify four functional types of reasons leading to four corresponding types of relevance. I focus on what I call “constitutive relevance”, which provides the content of the decision model, and propose a formal definition of this concept.
Third Chapter - The increasing success of the evidence-based policy movement is raising the demand for empirically informed decision making. As arguably any policy decision happens under conditions of uncertainty, following our best available evidence to reduce the uncertainty seems a requirement of good decision making. However, not all the uncertainty faced by decision makers can be resolved by evidence. In this paper, we build on a philosophical analysis of uncertainty to identify the boundaries of scientific advice in policy decision making. We argue that the authority of scientific advisors is limited to cognitive uncertainty and cannot extend beyond it. While the appeal of evidence-based policy rests on a view of scientific advice as limited to cognitive uncertainty, in practice there is a risk of over-reliance on experts beyond the legitimate scope of their authority. We conclude by applying our framework to a real-world case of evidence based policy, where experts have overstepped their boundaries by ignoring non-cognitive types of uncertainty.
Fourth Chapter - The COVID-19 pandemic has presented the world with a series of new challenges, but the policy response may be difficult due to the severe uncertainty of our circumstances. While pressure to take timely action may push towards less inclusive decision procedures, in this paper I argue that precisely this uncertainty provides both democratic and epistemic reasons to include stakeholders in our collective decision making.
Style APA, Harvard, Vancouver, ISO itp.
2

Abdullah, Johari. "Uncertainty and uncertainty tolerance in service provisioning". Thesis, University of Newcastle upon Tyne, 2014. http://hdl.handle.net/10443/2467.

Pełny tekst źródła
Streszczenie:
Service, in general term is a type of economic activity where the consumers utilize labour and/or expertise of others to perform a specific task. The birth and continued growth of the Internet provide a new medium for services to be delivered, and enable services to become widely and readily available. In recent years, the Internet has become an important platform to provide services to the end users. Service provisioning, In the context of computing, is the process of providing users with access to data and technology resources. In a perfect operating environment, the entities involved can expect the system will perform as intended or up to an accepted level of quality. Unfortunately, disruptions or failures can occur which can affect the operation of the service. Thus, the entities involved, in particular the service requester faces a situation whereby the service requester’s belief towards certain process in the service provisioning life cycle is affected, i.e. deviates from the actual truth. This situation whereby the service requester’s belief is affected is referred as an uncertainty. in this thesis, we discuss and explore the issue of uncertainty throughout the service provisioning life cycle and provide a measure to tolerate uncertainty in service provisioning offer through the application of subjective probability framework. This thesis provides several key contributions to address the uncertainty issues in service provision- Ing system in particular, for a service requester to overcome the negative consequence of uncertainty. The key contributions are: (1) introduction to the issue of uncertainty in service provisioning system, (2) a new classification scheme for uncertainties in service provisioning system, (3) a unified view of uncertainty in service provisioning system based on temporal classification, which is linked to service requester’s view, (4) a concept of uncertainty tolerance for service provisioning, (5) an approach and framework for automated uncertainty tolerance in service provisioning offer. The approach and framework for uncertainty tolerance in service provisioning offer presented in this thesis is evaluated through an empirical study. The result from the study shows the viability of the approach and framework of the uncertainty tolerance Mechanism through the application of subjective probability theory. The result also shows the positive outcome of the mechanism in term of higher cumulative utility, and better acceptance rate for the service requester.
Style APA, Harvard, Vancouver, ISO itp.
3

Willquist, André. "Uncertainty Discretization for Motion Planning Under Uncertainty". Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170496.

Pełny tekst źródła
Streszczenie:
In this thesis, the problem of motion planning under uncertainty is explored. Motion planning under uncertainty is important since even with noise during the execution of the plan, it is desirable to keep the collision risk low. However, for the motion planning to be useful it needs to be possible to perform it in a reasonable time. The introduction of state uncertainty leads to a substantial increase in search time due to the additional dimensions it adds to the search space. In order to alleviate this problem, different approaches to pruning of the search space are explored. The initial approach is to prune states based on having strictly worse uncertainty and path cost than other found states. Having performed this initial pruning, an alternate approach to comparing uncertainties is examined in order to explore if it is possible to achieve a lower search time. The approach taken in order to lower the search time further is to discretize the covariance of a state by using a number of buckets. However, this discretization results in giving up the completeness and optimality of the algorithm. Having implemented these different ways of pruning, their performance is tested on a number of different scenarios. This is done by evaluating the planner using the pruning in several different scenarios including uncertainty and one without uncertainty. It is found that all of the pruning approaches reduce the overall search time compared to when no additional pruning based on the uncertainty is done. Additionally, it is indicated that the bucket-based approach reduce the search time to a greater extent than the strict pruning approach. Furthermore, the extensions made results in no increase in cost or a very small increase in cost for the explored scenarios. Based on these results, it is likely that the bucket pruning approach has some potential. However more studies, particularly with additional scenarios, needs to be made before any definitive conclusions can be made.
Style APA, Harvard, Vancouver, ISO itp.
4

Woolley, Richard. "Living uncertain lives : a study in the sociology of uncertainty /". View thesis, 2002. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030721.144500/index.html.

Pełny tekst źródła
Streszczenie:
Thesis (Ph.D.) -- University of Western Sydney, 2002.
"Dissertation submitted in fulfillment of the requirements for the award of the degree of Doctor of Philosophy, September 2002." Bibliography: p. 445 - 466.
Style APA, Harvard, Vancouver, ISO itp.
5

Vergaray, Alfonso Ruben. "Rethinking Uncertainty: Spinoza and Hume on Shaping Uncertain Secular Futures". Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/70844.

Pełny tekst źródła
Streszczenie:
This dissertation extends contemporary views about uncertainty. It does so through a reading of the role of uncertainty in the political thought of two modern philosophers, Baruch Spinoza and David Hume. Despite uncertainty's notable and multi-disciplinary appeal in the academic literature, the frame in which most scholars think about social and political uncertainty is one-sided. On the whole, contemporary scholars consider uncertainty as a problem in need of a remedy. In the social sciences uncertainty is transformed into risk in order to empirically calculate risk probabilities. The hope is that risks (uncertainties) can be controlled, reduced, and in all, mitigated. In this dissertation, I argue for a conceptual rethinking of uncertainty that expands its scope and reach to include a socially and politically beneficent understanding, a constructive form of uncertainty. In particular, I explore the ways social groups experience conditions of uncertainty in different contexts through an examination of what I term future-oriented and epistemic uncertainty in Hume and Spinoza's political thought. Spinoza's arguments for liberal democracy, and Hume's arguments favoring commercial society, are highlighted as instances of constructive uncertainty. The dissertation concludes by applying a general understanding of constructive uncertainty to the ideology of the American Dream in order to illustrate suggestively how a constructive conception of uncertainty might prove useful when critically engaging contemporary matters.
Ph. D.
Style APA, Harvard, Vancouver, ISO itp.
6

MacAskill, William. "Normative uncertainty". Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:8a8b60af-47cd-4abc-9d29-400136c89c0f.

Pełny tekst źródła
Streszczenie:
Very often, we are unsure about what we ought to do. Under what conditions should we help to improve the lives of distant strangers rather than those of our family members? At what point does an embryo or foetus become a person, with all the rights that that entails? Is it ever permissible to raise and kill non-human animals in order to use their meat for food? Sometimes, this uncertainty arises out of empirical uncertainty: we might not know to what extent non-human animals feel pain, or how much we are really able to improve the lives of distant strangers compared to our family members. But this uncertainty can also arise out of fundamental normative uncertainty: out of not knowing, for example, what moral weight the wellbeing of distant strangers has compared to the wellbeing of our family; or whether non-human animals are worthy of moral concern even given knowledge of all the facts about their biology and psychology. In fact, for even moderately reflective agents, decision-making under normative uncertainty is ubiquitous. Given this, one might have expected philosophers to have devoted considerable research time to the question of how one ought to take one’s normative uncertainty into account in one’s decisions. But the issue has been largely neglected. This thesis attempts to begin to fill this gap. It addresses the question: what ought one to do when one is uncertain about what one ought to do? It develops a view that I call metanormativism: the view that there are second-order norms that govern action that are relative to a decision-maker’s uncertainty about first-order normative claims. In consists of two distinct parts. The first part (Chapters 1-4) develops a general metanormative theory. I argue in favour of the view that decision-makers should maximise expected choice-worthiness, treating normative uncertainty analogously with how they treat empirical uncertainty. I defend this view at length in response to two key problems, which I call the problems of merely ordinal theories and the problem of intertheoretic comparisons. The second part (Chapters 5-7) explores the implications of metanormativism for other philosophical issues. I suggest that it has important implications for the theory of rational action in the face of incomparable values, for the causal/evidential debate in decision-theory, and for the value we should ascribe to research into moral philosophy.
Style APA, Harvard, Vancouver, ISO itp.
7

Boopathy, Komahan. "Uncertainty Quantification and Optimization Under Uncertainty Using Surrogate Models". University of Dayton / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1398302731.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
8

Fiorito, Luca. "Nuclear data uncertainty propagation and uncertainty quantification in nuclear codes". Doctoral thesis, Universite Libre de Bruxelles, 2016. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/238375.

Pełny tekst źródła
Streszczenie:
Uncertainties in nuclear model responses must be quantified to define safety limits, minimize costs and define operational conditions in design. Response uncertainties can also be used to provide a feedback on the quality and reliability of parameter evaluations, such as nuclear data. The uncertainties of the predictive model responses sprout from several sources, e.g. nuclear data, model approximations, numerical solvers, influence of random variables. It was proved that the largest quantifiable sources of uncertainty in nuclear models, such as neutronics and burnup calculations, are the nuclear data, which are provided as evaluated best estimates and uncertainties/covariances in data libraries. Nuclear data uncertainties and/or covariances must be propagated to the model responses with dedicated uncertainty propagation tools. However, most of the nuclear codes for neutronics and burnup models do not have these capabilities and produce best-estimate results without uncertainties. In this work, the nuclear data uncertainty propagation was concentrated on the SCK•CEN code burnup ALEPH-2 and the Monte Carlo N-Particle code MCNP.Two sensitivity analysis procedures, i.e. FSAP and ASAP, based on linear perturbation theory were implemented in ALEPH-2. These routines can propagate nuclear data uncertainties in pure decay models. ASAP and ALEPH-2 were tested and validated against the decay heat and uncertainty quantification for several fission pulses and for the MYRRHA subcritical system. The decay uncertainty is necessary to define the reliability of the decay heat removal systems and prevent overheating and mechanical failure of the reactor components. It was proved that the propagation of independent fission yield and decay data uncertainties can be carried out with ASAP also in neutron irradiation models. Because of the ASAP limitations, the Monte Carlo sampling solver NUDUNA was used to propagate cross section covariances. The applicability constraints of ASAP drove our studies towards the development of a tool that could propagate the uncertainty of any nuclear datum. In addition, the uncertainty propagation tool was supposed to operate with multiple nuclear codes and systems, including non-linear models. The Monte Carlo sampling code SANDY was developed. SANDY is independent of the predictive model, as it only interacts with the nuclear data in input. Nuclear data are sampled from multivariate probability density functions and propagated through the model according to the Monte Carlo sampling theory. Not only can SANDY propagate nuclear data uncertainties and covariances to the model responses, but it is also able to identify the impact of each uncertainty contributor by decomposing the response variance. SANDY was extensively tested against integral parameters and was used to quantify the neutron multiplication factor uncertainty of the VENUS-F reactor.Further uncertainty propagation studies were carried out for the burnup models of light water reactor benchmarks. Our studies identified fission yields as the largest source of uncertainty for the nuclide density evolution curves of several fission products. However, the current data libraries provide evaluated fission yields and uncertainties devoid of covariance matrices. The lack of fission yield covariance information does not comply with the conservation equations that apply to a fission model, and generates inconsistency in the nuclear data. In this work, we generated fission yield covariance matrices using a generalised least-square method and a set of physical constraints. The fission yield covariance matrices solve the inconsistency in the nuclear data libraries and reduce the role of the fission yields in the uncertainty quantification of burnup models responses.
Doctorat en Sciences de l'ingénieur et technologie
info:eu-repo/semantics/nonPublished
Style APA, Harvard, Vancouver, ISO itp.
9

Simangunsong, Eliot Sation. "Supply chain uncertainty : linking sources of uncertainty and management practices". Thesis, Lancaster University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556682.

Pełny tekst źródła
Streszczenie:
Supply chain uncertainty is a key issue that affects firm competitiveness (1993; Yang et al., 2004); and, therefore, identifying the major sources of uncertainty within supply chains and developing strategies to manage them is an important challenge (Sabri & Beamon, 2000). There is an emerging literature on supply chain uncertainty but additional empirical research is required to further develop understanding of this phenomenon. This leads to an important research question to explore what sources of uncertainty can be identified in practice, what are the dimensions of these sources, and how can they be managed. To address this research question, this thesis has developed a theoretical model of supply chain uncertainty. Using this theoretical model to structure the investigation, an empirical study has been conducted in the food industry in Indonesia with twelve inter-related companies (4 suppliers, 4 iv manufacturers, and 4 retailers). Twenty three semi-structured interviews with thirty two senior representatives from the twelve companies have been conducted; interviews were audio and video recorded, and analysed using Atlas.ti. A comprehensive approach, which goes beyond previous studies, has been undertaken. Fourteen sources of uncertainty, including those internal to the firm (e.g., manufacturing process), internal to the supply chain (e.g., supplier) and external (e.g., environment) have been explored and twenty two management strategies for reducing or coping with the relevant dimensions have been identified Other research contributions are also identified such as the dynamic and multi dimensional process of managing sources of uncertainty. The findings of the thesis have implications for managers. For example, reducing uncertainty strategies such as collaboration are generally preferred over coping with uncertainty strategies but are difficult to implement when sources of uncertainty span beyond the boundaries of the firm. Future research should explore issues emerging from this study, such as ethical issues affecting supply chain uncertainty. Keywords: Supply chain uncertainty; uncertainty management; case study research.
Style APA, Harvard, Vancouver, ISO itp.
10

Cheng, Haiyan. "Uncertainty Quantification and Uncertainty Reduction Techniques for Large-scale Simulations". Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/28444.

Pełny tekst źródła
Streszczenie:
Modeling and simulations of large-scale systems are used extensively to not only better understand a natural phenomenon, but also to predict future events. Accurate model results are critical for design optimization and policy making. They can be used effectively to reduce the impact of a natural disaster or even prevent it from happening. In reality, model predictions are often affected by uncertainties in input data and model parameters, and by incomplete knowledge of the underlying physics. A deterministic simulation assumes one set of input conditions, and generates one result without considering uncertainties. It is of great interest to include uncertainty information in the simulation. By ``Uncertainty Quantification,'' we denote the ensemble of techniques used to model probabilistically the uncertainty in model inputs, to propagate it through the system, and to represent the resulting uncertainty in the model result. This added information provides a confidence level about the model forecast. For example, in environmental modeling, the model forecast, together with the quantified uncertainty information, can assist the policy makers in interpreting the simulation results and in making decisions accordingly. Another important goal in modeling and simulation is to improve the model accuracy and to increase the model prediction power. By merging real observation data into the dynamic system through the data assimilation (DA) technique, the overall uncertainty in the model is reduced. With the expansion of human knowledge and the development of modeling tools, simulation size and complexity are growing rapidly. This poses great challenges to uncertainty analysis techniques. Many conventional uncertainty quantification algorithms, such as the straightforward Monte Carlo method, become impractical for large-scale simulations. New algorithms need to be developed in order to quantify and reduce uncertainties in large-scale simulations. This research explores novel uncertainty quantification and reduction techniques that are suitable for large-scale simulations. In the uncertainty quantification part, the non-sampling polynomial chaos (PC) method is investigated. An efficient implementation is proposed to reduce the high computational cost for the linear algebra involved in the PC Galerkin approach applied to stiff systems. A collocation least-squares method is proposed to compute the PC coefficients more efficiently. A novel uncertainty apportionment strategy is proposed to attribute the uncertainty in model results to different uncertainty sources. The apportionment results provide guidance for uncertainty reduction efforts. The uncertainty quantification and source apportionment techniques are implemented in the 3-D Sulfur Transport Eulerian Model (STEM-III) predicting pollute concentrations in the northeast region of the United States. Numerical results confirm the efficacy of the proposed techniques for large-scale systems and the potential impact for environmental protection policy making. ``Uncertainty Reduction'' describes the range of systematic techniques used to fuse information from multiple sources in order to increase the confidence one has in model results. Two DA techniques are widely used in current practice: the ensemble Kalman filter (EnKF) and the four-dimensional variational (4D-Var) approach. Each method has its advantages and disadvantages. By exploring the error reduction directions generated in the 4D-Var optimization process, we propose a hybrid approach to construct the error covariance matrix and to improve the static background error covariance matrix used in current 4D-Var practice. The updated covariance matrix between assimilation windows effectively reduces the root mean square error (RMSE) in the solution. The success of the hybrid covariance updates motivates the hybridization of EnKF and 4D-Var to further reduce uncertainties in the simulation results. Numerical tests show that the hybrid method improves the model accuracy and increases the model prediction quality.
Ph. D.
Style APA, Harvard, Vancouver, ISO itp.
Więcej źródeł

Książki na temat "Uncertainty"

1

Dow, Sheila C. Uncertainty about uncertainty. Stirling: Dept. of Economics, University of Stirling, 1993.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
2

Briggs, William. Uncertainty. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
3

Michael, Larsen. Uncertainty. London: Sceptre, 1997.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
4

Esst, Garrison. Uncertainty. [Denver, Colo.]: Denver Center Theatre Company, 1992.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
5

Sanz, Yolanda Ortega. Uncertainty. Redaktor International Architectural Exhibition (17th : 2021 : Venice, Italy). Barcelona]: Fundación Arquia, 2021.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
6

MacAskill, Michael. Moral Uncertainty. Oxford: Oxford University Press, 2020.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
7

Garvey, Bruce, Dowshan Humzah i Storm Le Roux. Uncertainty Deconstructed. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08007-4.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
8

Jeschke, Sabina, Eva-Maria Jakobs i Alicia Dröge, red. Exploring Uncertainty. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-00897-0.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
9

Osman, Magda. Controlling Uncertainty. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444328226.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
10

Rautzenberg, Markus. Framing Uncertainty. London: Palgrave Macmillan UK, 2020. http://dx.doi.org/10.1057/978-1-137-59521-8.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
Więcej źródeł

Części książek na temat "Uncertainty"

1

Dow, Sheila C. "Uncertainty about Uncertainty". W Foundations for New Economic Thinking, 72–82. London: Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9781137000729_5.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
2

Briggs, William. "Truth, Argument, Realism". W Uncertainty, 1–16. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_1.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
3

Briggs, William. "Modelling Goals, Strategies, and Mistakes". W Uncertainty, 203–44. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_10.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
4

Briggs, William. "Logic". W Uncertainty, 17–26. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_2.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
5

Briggs, William. "Induction and Intellection". W Uncertainty, 27–37. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_3.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
6

Briggs, William. "What Probability Is". W Uncertainty, 39–67. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_4.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
7

Briggs, William. "What Probability Is Not". W Uncertainty, 69–86. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_5.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
8

Briggs, William. "Chance and Randomness". W Uncertainty, 87–112. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_6.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
9

Briggs, William. "Causality". W Uncertainty, 113–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_7.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
10

Briggs, William. "Probability Models". W Uncertainty, 135–51. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_8.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.

Streszczenia konferencji na temat "Uncertainty"

1

Chen, Junyu, Yihao Liu, Shuwen Wei, Zhangxing Bian, Aaron Carass i Yong Du. "From Registration Uncertainty to Segmentation Uncertainty". W 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1–5. IEEE, 2024. http://dx.doi.org/10.1109/isbi56570.2024.10635251.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
2

Shen, Jianxiong, Ruijie Ren, Adria Ruiz i Francesc Moreno-Noguer. "Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural Radiance Fields". W 2024 IEEE International Conference on Robotics and Automation (ICRA), 2375–81. IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611116.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
3

Hoelting, C. "Ten Years of Becoming Less Uncertain About the Uncertainty of Our Uncertainty Estimates…". W 81st EAGE Conference and Exhibition 2019 Workshop Programme. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201901990.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
4

Gilbert, Robert B., Fulvio Tonon, Juliana Freire, Claudio T. Silva i David R. Maidment. "Visualizing Uncertainty with Uncertainty Multiples". W GeoCongress 2006. Reston, VA: American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40803(187)101.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
5

Mkrtchyan, Ka'ren. "Elimination LArTPC Simulation Uncertainty". W Elimination LArTPC Simulation Uncertainty. US DOE, 2024. http://dx.doi.org/10.2172/2426577.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
6

Mkrtchyan, Ka'ren. "Elimination LArTPC Simulation Uncertainty". W Elimination LArTPC Simulation Uncertainty. US DOE, 2024. http://dx.doi.org/10.2172/2427337.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
7

Vemulapalli, G. K., i A. S. Marathay. "Minimizing the uncertainty about the uncertainty principle". W Education and Training in Optics and Photonics. Washington, D.C.: OSA, 2003. http://dx.doi.org/10.1364/etop.2003.emd3.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
8

Du, Xiaoping, i Harsheel Shah. "Quantifying Model Uncertainty Using Measurement Uncertainty Standards". W ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47865.

Pełny tekst źródła
Streszczenie:
There is always a deviation between a model prediction and the reality that the model intends to represent. The deviation is largely caused by the model uncertainty due to ignorance, assumptions, simplification, and other sources of lack of knowledge. Quantifying model uncertainty is a vital task and requires the comparison between model prediction and observation. This exercise is generally computationally intensive on the prediction side and costly on the experimentation side. In this work, a new methodology is proposed to provide an alternative implementation of model uncertainty quantification. With the new methodology, the experimental results are reported with expanded uncertainty terms around the experimental results for both model input and output. In other words, the experimental results are expressed as intervals. Then the model takes the experimental results of the input intervals and produces an interval prediction. The model uncertainty is then quantified by the difference between the model prediction and experimental observation, represented by an interval as well. By employing the standards for measurement uncertainty, the new methodology is easy to implement and could serve as a common framework for both model builders and experimenters.
Style APA, Harvard, Vancouver, ISO itp.
9

Ng, Leo Wai-Tsun, Dinh Bao Phuong Huynh i Karen Willcox. "Multifidelity Uncertainty Propagation for Optimization Under Uncertainty". W 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-5602.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
10

Wilkins, Matthew, i Kyle Alfriend. "Characterizing orbit uncertainty due to atmospheric uncertainty". W Astrodynamics Specialist Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-3931.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.

Raporty organizacyjne na temat "Uncertainty"

1

Makaruk, Hanna. Uncertainty about the Uncertainty. Office of Scientific and Technical Information (OSTI), maj 2020. http://dx.doi.org/10.2172/1631555.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
2

Hansen, Clifford, i Aaron Scheiner. Uncertainty in annual energy resulting from uncertain irradiance measurements. Office of Scientific and Technical Information (OSTI), maj 2022. http://dx.doi.org/10.2172/1959813.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
3

Enke, Benjamin, i Thomas Graeber. Cognitive Uncertainty. Cambridge, MA: National Bureau of Economic Research, listopad 2019. http://dx.doi.org/10.3386/w26518.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
4

Jurado, Kyle, Sydney Ludvigson i Serena Ng. Measuring Uncertainty. Cambridge, MA: National Bureau of Economic Research, wrzesień 2013. http://dx.doi.org/10.3386/w19456.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
5

Fajgelbaum, Pablo, Edouard Schaal i Mathieu Taschereau-Dumouchel. Uncertainty Traps. Cambridge, MA: National Bureau of Economic Research, marzec 2014. http://dx.doi.org/10.3386/w19973.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
6

Cieslak, Anna, Stephen Hansen, Michael McMahon i Song Xiao. Policymakers' Uncertainty. Cambridge, MA: National Bureau of Economic Research, listopad 2023. http://dx.doi.org/10.3386/w31849.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
7

Silgado-Gómez, Edgar. Sovereign uncertainty. Madrid: Banco de España, lipiec 2024. http://dx.doi.org/10.53479/36875.

Pełny tekst źródła
Streszczenie:
This paper investigates the impact and the transmission of uncertainty regarding the future path of government finances on economic activity. I first employ a data-rich approach to extract a novel proxy that captures uncertainty surrounding public finances, which I refer to as sovereign uncertainty, and demonstrate that the estimated measure exhibits distinct fluctuations from macro-financial and economic policy uncertainty indices. Next, I analyse the behaviour of sovereign uncertainty shocks and detect the presence of significant and long-lasting negative effects in the financial and macroeconomic sectors using state-of-the-art identification strategies, within the context of a Bayesian vector autoregression framework. I show that a shock to sovereign uncertainty differs from a macro-financial uncertainty shock originating from disturbances in the private sector —while the former persistently dampens the economy in the medium run, the latter displays a short-lived response in real activity. Lastly, I study the role of sovereign uncertainty in a New Keynesian dynamic stochastic general equilibrium model augmented with recursive preferences and financial intermediaries. I find that a sovereign uncertainty shock in the model is able to capture the empirical slowdowns in economic aggregates if monetary policy decisions are directly influenced by the shock. The model also emphasizes the importance of financial frictions in transmitting the effects of sovereign uncertainty shocks and highlights the minor role played by nominal rigidities.
Style APA, Harvard, Vancouver, ISO itp.
8

Croft, Stephen, i Andrew Nicholson. OR14-V-Uncertainty-PD2La Uncertainty Quantification Workshop Report. Office of Scientific and Technical Information (OSTI), lipiec 2017. http://dx.doi.org/10.2172/1784220.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
9

Afonso, Gara, Gabriele La Spada, Thomas M. Mertens i John C. Williams. The Optimal Supply of Central Bank Reserves under Uncertainty. Federal Reserve Bank of New York, listopad 2023. http://dx.doi.org/10.59576/sr.1077.

Pełny tekst źródła
Streszczenie:
This paper provides an analytically tractable theoretical framework to study the optimal supply of central bank reserves when the demand for reserves is uncertain and nonlinear. We fully characterize the optimal supply of central bank reserves and associated market equilibrium. We find that the optimal supply of reserves under uncertainty is greater than that absent uncertainty. With a sufficient degree of uncertainty, it is optimal to supply a level of reserves that is abundant (on the flat portion of the demand curve) absent shocks. The optimal mean spread between the market interest rate and administered rates under uncertainty may be higher or lower than that absent uncertainty. Our model is consistent with the observation that the variability of interest rate spreads is a function of the level of reserves.
Style APA, Harvard, Vancouver, ISO itp.
10

McKay, M. D. Evaluating prediction uncertainty. Office of Scientific and Technical Information (OSTI), marzec 1995. http://dx.doi.org/10.2172/29432.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
Możesz być także zainteresowany rozszerzonymi bibliografiami na temat „Uncertainty” dla poszczególnych typów źródeł:
Artykuły w czasopismach Rozprawy doktorskie Książki
Oferujemy zniżki na wszystkie plany premium dla autorów, których prace zostały uwzględnione w tematycznych zestawieniach literatury. Skontaktuj się z nami, aby uzyskać unikalny kod promocyjny!

Do bibliografii