Academic literature on the topic 'Marginal risk'
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Journal articles on the topic "Marginal risk"
Keel, Simon, and David Ardia. "Generalized marginal risk." Journal of Asset Management 12, no. 2 (March 10, 2011): 123–31. http://dx.doi.org/10.1057/jam.2010.30.
Full textChambers, Robert G. "On Marginal‐Risk Behavior." American Journal of Agricultural Economics 98, no. 2 (June 11, 2015): 406–21. http://dx.doi.org/10.1093/ajae/aav027.
Full textVenter, Gary G., John A. Major, and Rodney E. Kreps. "Marginal Decomposition of Risk Measures." ASTIN Bulletin 36, no. 02 (November 2006): 375–413. http://dx.doi.org/10.2143/ast.36.2.2017927.
Full textSjoberg, Lennart. "Consequences matter, ‘risk’ is marginal." Journal of Risk Research 3, no. 3 (July 2000): 287–95. http://dx.doi.org/10.1080/13669870050043189.
Full textVenter, Gary G., John A. Major, and Rodney E. Kreps. "Marginal Decomposition of Risk Measures." ASTIN Bulletin 36, no. 2 (November 2006): 375–413. http://dx.doi.org/10.1017/s0515036100014562.
Full textWilliams, Thomas E., William J. Fanning, W. C. Benton, Gerard S. Kakos, Randall L. Miller, William J. Esterline, and Thomas D. Hankins. "What is the marginal cost for marginal risk in cardiac surgery?" Annals of Thoracic Surgery 66, no. 6 (December 1998): 1969–71. http://dx.doi.org/10.1016/s0003-4975(98)00820-0.
Full textZhu, Shushang, Duan Li, and Xiaoling Sun. "Portfolio selection with marginal risk control." Journal of Computational Finance 14, no. 1 (September 2010): 3–28. http://dx.doi.org/10.21314/jcf.2010.213.
Full textChen, Tao, Jing Rong Goh, Shinichi Kamiya, and Pingyi Lou. "Marginal cost of risk-based capital and risk-taking." Journal of Banking & Finance 103 (June 2019): 130–45. http://dx.doi.org/10.1016/j.jbankfin.2019.03.011.
Full textTzeng, Larry Y. "Increase in Risk and Weaker Marginal-Payoff-Weighted Risk Dominance." Journal of Risk and Insurance 68, no. 2 (June 2001): 329. http://dx.doi.org/10.2307/2678105.
Full textBauer, Daniel, and George Zanjani. "The Marginal Cost of Risk, Risk Measures, and Capital Allocation." Management Science 62, no. 5 (May 2016): 1431–57. http://dx.doi.org/10.1287/mnsc.2015.2190.
Full textDissertations / Theses on the topic "Marginal risk"
Bassoli, Elena <1991>. "The effect of health on the marginal utility of consumption expenditures and on attitudes towards risk." Doctoral thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/17804.
Full textBakker, Rinke. "The influence of consolidation and internationalization on systemic risk in the financial sector." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-347180.
Full textAntunes, Tiago André Cardoso. "Análise de risco de crédito: modelação de distribuições baseada em cópulas." Master's thesis, Instituto Superior de Economia e Gestão, 2012. http://hdl.handle.net/10400.5/4981.
Full textO risco de crédito é definido pela relação de incerteza em receber numa data futura o valor emprestado. Devido ao crescente volume de perdas de capital assim como ao maior rigor por parte das instituições reguladoras, a gestão do risco de crédito assume actualmente um papel fundamental na actividade bancária. A teoria de Cópulas surge como um modelo matemático que permite ajustar e compreender a relação de dependência entre diferentes distribuições marginais ou de variáveis. Os resultados obtidos confirmam a existência de relações de dependência entre perda de crédito e as diferentes variáveis de risco, demonstrando a possibilidade de modelação através da sua cópula.
The credit risk is defined as the ratio of uncertainty in receiving at a future date the amount borrowed. Due to the increasing volume of loss of capital, as well as the greater rigor on the part of regulatory entities, the management of credit risk plays currently a key role in banking activity. The Copula's theory appears such as a mathematical model that allows you to adjust and understand the relationship of dependence between different marginal distributions or risk variables. It is therefore expected that a multivariate distribution still that composed by different marginal distributions can have their dependence relations modeled by the Copula’s families that best fit to each specific case.
Meyer, Albrecht H. H. [Verfasser]. "Transformation and additional malignancies are leading risk factors for an adverse course of disease in marginal zone lymphoma / Albrecht H.-H. Meyer." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2015. http://d-nb.info/1079841113/34.
Full textBörsum, Jakob. "Estimating Causal Effects Of Relapse Treatment On The Risk For Acute Myocardial Infarction Among Patients With Diffuse Large B-Cell Lymphoma." Thesis, Uppsala universitet, Statistiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447241.
Full textCordeiro, Fabio Nunez Barja. "Aplicação da teoria de cópulas para o cálculo do value at risk." reponame:Repositório Institucional do FGV, 2009. http://hdl.handle.net/10438/4306.
Full textEste trabalho aplica a teoria de cópulas à mensuração do risco de mercado, através do cálculo do Value at Risk (VaR). A função de cópula oferece uma maior flexibilidade para a agregação de riscos quando comparada com abordagens tradicionais de mensuração de risco. A teoria de cópulas permite a utilização de distribuições de probabilidade diferentes da normal para a modelagem individual dos fatores de risco. Além disso, diferentes estruturas de associação entre eles podem ser aplicadas sem que restrições sejam impostas às suas distribuições. Dessa forma, premissas como a normalidade conjunta dos retornos e a linearidade na dependência entre fatores de risco podem ser dispensadas, possibilitando a correta modelagem de eventos conjuntos extremos e de assimetria na relação de dependência. Após a apresentação dos principais conceitos associados ao tema, um modelo de cópula foi desenvolvido para o cálculo do VaR de três carteiras, expostas aos mercados brasileiros cambial e acionário. Em seguida, a sua precisão foi comparada com a das metodologias tradicionais delta-normal e de simulação histórica. Os resultados mostraram que o modelo baseado na teoria de cópulas foi superior aos tradicionais na previsão de eventos extremos, representados pelo VaR 99%. No caso do VaR 95%, o modelo delta-normal apresentou o melhor desempenho. Finalmente, foi possível concluir que o estudo da teoria de cópulas é de grande relevância para a gestão de riscos financeiros. Fica a sugestão de que variações do modelo de VaR desenvolvido neste trabalho sejam testadas, e que esta teoria seja também aplicada à gestão de outros riscos, como o de crédito, operacional, e até mesmo o risco integrado.
This study applies the theory of copulas to the measurement of market risk by doing the Value at Risk (VaR) calculation. The copula function offers a greater flexibility to aggregate the risks as compared to traditional approaches of risk measurement. The theory of copulas enables the use of probability distributions different from the normal to the individual modeling of risk factors. Furthermore, different association structures between them can be applied with no restrictions being imposed to its distributions. Thus, premises such as joint normality of returns and linearity in the dependence between risk factors can be dismissed, what enables the correct modelling of extreme joint events and of asymmetry in the dependence relation. After presenting the main concepts associated to the theme, a copula model was developed in order to calculate the VaR for three portfolios which are exposed to the Brazilian foreign exchange and stock markets. Afterwards, its accuracy was compared with that of traditional methodologies, i.e., delta-normal and historic simulation. The results showed that the model based on the theory of copulas was superior to the traditional ones at forecasting extreme events, which are represented by VaR 99%. When it comes to VaR 95%, the delta-normal model presented the best results. Finally, it was possible to conclude that the theory of copulas study is of great relevance to financial risks management. For further research, a suggestion is testing variations of the VaR model developed in this work, as well as applying this theory to managing other risks, such as credit, operational or even integrated risk.
LOREGIAN, ANGELA. "Multivariate Lèvy models: estimation and asset allocation." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2013. http://hdl.handle.net/10281/49727.
Full textBångman, Gunnel. "Equity in welfare evaluations : The rationale for and effects of distributional weighting." Doctoral thesis, Örebro University, Department of Business, Economics, Statistics and Informatics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-309.
Full textThis thesis addresses the issue of weighted cost-benefit analysis (WCBA). WCBA is a welfare evaluation model where income distribution effects are valued by distributional weighting. The method was developed already in the 1970s. The interest in and applications of this method have increased in the past decade, e.g. when evaluating of global environmental problems. There are, however, still unsolved problems regarding the application of this method. One such issue is the choice of the approach to the means of estimating of the distributional weights. The literature on WCBA suggests a couple of approaches, but gives no clues as to which one is the most appropriate one to use, either from a theoretical or from an empirical point of view. Accordingly, the choice of distributional weights may be an arbitrary one. In the first paper in this thesis, the consequences of the choice of distributional weights on project decisions have been studied. Different sets of distributional weights have been compared across a variety of strategically chosen income distribution effects. The distributional weights examined are those that correspond to the WCBA approaches commonly suggested in literature on the topic. The results indicate that the choice of distributional weights is of importance for the rank of projects only when the income distribution effects concern target populations with low incomes. The results also show that not only the mean income but also the span of incomes, of the target population of the income distribution effect, affects the result of the distributional weighting when applying very progressive non-linear distributional weights. This may cause the distributional weighting to indicate an income distribution effect even though the project effect is evenly distributed across the population.
One rational for distributional weighting, commonly referred to when applying WCBA, is that marginal utility of income is decreasing with income. In the second paper, this hypothesis is tested. My study contributes to this literature by employing stated preference data on compensated variation (CV) in a model flexible as to the functional form of the marginal utility. The results indicate that the marginal utility of income decreases linearly with income.
Under certain conditions, a decreasing marginal utility of income corresponds to risk aversion. Thus the hypothesis that marginal utility of income is decreasing with income can be tested by analyses of individuals’ behaviour in gambling situations. The third paper examines of the role of risk aversion, defined by the von Neumann-Morgenstern expected utility function, for people’s concern about the problem of ‘sick’ buildings. The analysis is based on data on the willingness to pay (WTP) for having the indoor air quality (IAQ) at home examined and diagnosed by experts and the WTP for acquiring an IAQ at home that is guaranteed to be good. The results indicate that some of the households are willing to pay for an elimination of the uncertainty of the IAQ at home, even though they are not willing to pay for an elimination of the risks for building related ill health. The probability to pay, for an elimination of the uncertainty of the indoor air quality at home, only because of risk aversion is estimated to 0.3-0.4. Risk aversion seems to be a more common motive, for the decision to pay for a diagnosis of the IAQ at home, among young people.
Another rationale for distributional weighting, commonly referred to, is the existence of unselfish motives for economic behaviour, such as social inequality aversion or altruism. In the fourth paper the hypothesis that people have altruistic preferences, i.e. that they care about other people’s well being, is tested. The WTP for a public project, that ensures good indoor air quality in all buildings, have been measured in three different ways for three randomly drawn sub-samples, capturing different motives for economic behaviour (pure altruism, paternalism and selfishness). The significance of different questions, and different motives, is analysed using an independent samples test of the mean WTPs of the sub-samples, a chi-square test of the association between the WTP and the sample group membership and an econometric analysis of the decision to pay to the public project. No evidence for altruism, either pure altruism or paternalism, is found in this study.
Facundo, Francisco Rafael Guzman. "Fatores de risco e o significado do consumo de drogas em adolescentes e jovens marginais de bandos juvenis." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/22/22131/tde-18102007-161851/.
Full textAbuse in drugs consumption constitutes a social and public health problem in most countries, due to the multiple negative consequences they provoke for people\'s emotional and physical development. Acknowledged risk groups for drugs consumption are marginal groups, which include adolescents and young people from youth gangs. This study aimed to: analyze the effect of personal (age, gender, mental health problems, low education level, having a paid job, years of education) and interpersonal risk factors (relation with friends with badly adapted conducts and inappropriate relation with parents) on the consumption of legal (alcohol and tobacco) and illegal drugs (marihuana, cocaine and inhalants) and, next, to develop a theoretical model that represents the meanings of drugs consumption in marginal adolescents and young people from youth gangs. Thus, a study was carried out with a quantitative-qualitative methodology. For the first objective, 175 subjects were considered. The sample was estimated for a multiple linear regression with seven variables, with a .90 power and a .05 significance level, for an estimated variance of 20%. For the second objective, the methodological framework of Grounded Theory was used in the light of Symbolic Interactionism, using a sixteen-subject sample. The results of the logistic regression models showed that personal factors exert a significant effect on alcohol consumption (x2=30.19; p<.05), marihuana (x2=47.78; p<.001), cocaine (x2= 55.54; p<.001) and inhalants (x2=41.79; p<.001). The personal risk factors that demonstrated a larger contribution in the models were: gender (being a man), age, mental health problems and low education level; and the interpersonal factors relations with friends with badly adapted conducts and inappropriate relation with parents revealed a positive effect on the consumption of alcohol (x2 =20.65 p<.05), marihuana (x2=22.56; p<.001), cocaine (x2=18.5 p<.05) and inhalants (x2=14.80; p<.001). The personal and interpersonal risk factors did not show significant effects for tobacco consumption. After transcribing the interviews of the 16 subjects, they were coded in three steps: open, axial and selective coding. Comparative data analysis resulted in the central category THE GLORY OF PLEASURE OVER THE CONSEQUENCES with respect to the meaning of drugs consumption, which represents the advantages of the pleasant emotional effects of well-being, relaxation, disinhibition, and, consequently, provoked laughing, indicating feelings of happiness about the possible consequences of drugs consumption. These results allowed for the reflection that, in the near future, there is a need to elaborate adequate prevention programs in this group of marginal young people.
Thureson, Disa. "Cost-Benefit Analysis of climate policy and long term public investments." Doctoral thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-48241.
Full textBooks on the topic "Marginal risk"
Flood, Robert P. Estimating the expected marginal rate of substitution: Exploiting idiosyncratic risk. Cambridge, Mass: National Bureau of Economic Research, 2004.
Find full textFlood, Robert P. Estimating the expected marginal rate of substitution: Exploiting idiosyncratic risk. Cambridge, MA: National Bureau of Economic Research, 2004.
Find full textKimball, Miles S. Precautionary saving and the marginal propensity to consume. Cambridge, MA: National Bureau of Economic Research, 1990.
Find full textKaplow, Louis. The value of a statistical life and the coefficient of relative risk aversions. Cambridge, Mass: National Bureau of Economic Research, 2003.
Find full textIndia. Central Pollution Control Board. Computation of societal risk abatement cost and long run marginal financial cost with regard to dioxin and furan emission standards for common hazardous waste incinerator. Delhi: Central Pollution Control Board, Ministry of Environment & Forests, Govt. of India, 2011.
Find full textThe rise of the marginal utility school, 1870-1889. New York: Columbia University Press, 1989.
Find full textStatham, Anne. The rise of marginal voices: Gender balance in the workplace. Lanham: University Press of America, 1996.
Find full textAdjusting margin and risk: Tips and tricks to reduce margin requirements and alleviate margin calls. Upper Saddle River, N.J: FTPress Delivers, 2010.
Find full textBusiness Risk Mitigation and Price Stabilization Act of 2011: Report (to accompany H.R. 2682) (including cost estimate of the Congressional Budget Office). [Washington, D.C: U.S. G.P.O., 2011.
Find full textAiyagari, S. Rao. "Overreaction" of asset prices in general equilibrium. Cambridge, MA: National Bureau of Economic Research, 1998.
Find full textBook chapters on the topic "Marginal risk"
Saenger, Michael. "“Dead for a Ducat”: Tragedy and Marginal Risk." In Shakespeare and the French Borders of English, 147–69. New York: Palgrave Macmillan US, 2013. http://dx.doi.org/10.1057/9781137357397_7.
Full textBahraoui, Zuhair, Catalina Bolancé, and Ramon Alemany. "Estimating Risk with Sarmanov Copula and Nonparametric Marginal Distributions." In Modeling and Simulation in Engineering, Economics, and Management, 91–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38279-6_10.
Full textMeacci, Ferdinando. "The Principle of Increasing Risk versus the Marginal Efficiency of Capital." In Kalecki’s Relevance Today, 231–45. London: Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-10376-8_14.
Full textRahman, Mohammad Mahbubur, and Mizanur Rahman Bijoy. "Assessing Loss and Damage of Low-Exposed Sudden-Onset Disasters: Evidence from the Marginal Salt Cultivators of Kutubdia Island, Bangladesh." In Disaster Risk Reduction for Resilience, 21–44. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08325-9_2.
Full textLejeune, Miguel. "Chapter 32: Stochastic Optimization Investment Models with Portfolio and Marginal Risk Constraints." In Advances and Trends in Optimization with Engineering Applications, 427–35. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2017. http://dx.doi.org/10.1137/1.9781611974683.ch32.
Full textHarr, Patrick A., Antoni Jordi, and Luke Madaus. "Analysis of the Future Change in Frequency of Tropical Cyclone-Related Impacts Due to Compound Extreme Events." In Hurricane Risk in a Changing Climate, 87–120. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08568-0_5.
Full textStetter, Chris, Jan-Hendrik Piel, André Koukal, and Michael H. Breitner. "Enhancing Strategic Bidding Optimization for Renewable Energy Auctions: A Risk-Adequate Marginal Cost Model." In Operations Research Proceedings, 217–23. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18500-8_28.
Full textHuang, Pei-Hua. "Uncertainty, Vaccination, and the Duties of Liberal States." In Philosophy of Engineering and Technology, 97–110. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08424-9_5.
Full textSalgaonkar, Hrishikesh, Alistair Sharples, Kanagaraj Marimuthu, Vittal Rao, and Nagammapudur Balaji. "One Anastomosis Gastric Bypass (OAGB)." In Mastering Endo-Laparoscopic and Thoracoscopic Surgery, 297–304. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3755-2_43.
Full textHagihara, Kiyoko, Chisato Asahi, and Yoshimi Hagihara. "Marginal Willingness to Pay for Public Investment Under Urban Environmental Risk: The Case of Municipal Water Use." In New Frontiers in Regional Science: Asian Perspectives, 133–50. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55169-0_8.
Full textConference papers on the topic "Marginal risk"
Wu, Liyu, Minyu Shen, and Ruijie Li. "A Marginal Utility Day-to-day Flow Dynamics for Boundedly Rational User Equilibrium." In Proceedings of the 6th International Symposium on Reliability Engineering and Risk Management. Singapore: Research Publishing Services, 2018. http://dx.doi.org/10.3850/978-981-11-2726-7_cmta02.
Full textStripling, Travis E., and Jochen Schneider. "Pipeline Project Implementation and Management Risk Analysis." In 2002 4th International Pipeline Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/ipc2002-27051.
Full textSyed Abd Rahim, Syarifah Puteh Mariah, Mohd Fairuz Azman, Zaidi Awang@Mohamed, and Mior Yusni Ahmad. "Defining the Optimum Well Completion for Marginal Field Development – An Approach." In Offshore Technology Conference Asia. OTC, 2022. http://dx.doi.org/10.4043/31552-ms.
Full textKhalid, Aizuddin, Norashikin Hamza, Mas Rizal A Rahim, Amir Ridzwan A Rahman, Thanavathy Patma Nesan, and Norhayati M Sahid. "Application of Key Deepwater Lessons Learned in Marginal Deepwater Development, Offshore Malaysia." In SPE Annual Technical Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210393-ms.
Full textFowlow, D. Chad. "Wellhead Protection Concepts for Subsea Marginal Developments – Grand Banks of Newfoundland." In SNAME 7th International Conference and Exhibition on Performance of Ships and Structures in Ice. SNAME, 2006. http://dx.doi.org/10.5957/icetech-2006-128.
Full textBestman, Somiari, Bandar I. I. Ghassal, Ahmed Attar, and Akim Kabir. "Integrating PVT, Stable Isotope and Biomarker Geochemistry and Pressure Data to Characterise the Continuity of a Geologically Complex Gas Condensate Reservoir." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21428-ms.
Full textMubarok, Rudi Syahru, Monica Andriana, and Albertino Prabowo. "SNB AOI Topside Design Optimization: Solution for Marginal Resources." In SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205554-ms.
Full textPerrett, T. L., and I. M. Garven. "Blackback Field Development - An Example of Technical and Commercial Risk Mitigation in a Deepwater Marginal Field." In SPE Asia Pacific Oil and Gas Conference and Exhibition. Society of Petroleum Engineers, 1998. http://dx.doi.org/10.2118/50070-ms.
Full textGregorio Mamani, Mauricio, Mario Bernabe Chauca, Edward Filomeno Huamani, and Susy Del Pilar Sipan. "Retrospective Analysis of Multidrug-resistant Pulmonary Tuberculosis Associated with Risk Factors in a Marginal Urban District." In ICMHI 2021: 2021 5th International Conference on Medical and Health Informatics. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3472813.3473199.
Full textSkjong, Rolf, and Elzbieta M. Bitner-Gregersen. "Cost Effectiveness of Hull Girder Safety." In ASME 2002 21st International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/omae2002-28494.
Full textReports on the topic "Marginal risk"
Flood, Robert, and Andrew Rose. Estimating the Expected Marginal Rate of Substitution: Exploiting Idiosyncratic Risk. Cambridge, MA: National Bureau of Economic Research, October 2004. http://dx.doi.org/10.3386/w10805.
Full textAlmond, Douglas, Joseph Doyle, Amanda Kowalski, and Heidi Williams. Estimating Marginal Returns to Medical Care: Evidence from At-Risk Newborns. Cambridge, MA: National Bureau of Economic Research, December 2008. http://dx.doi.org/10.3386/w14522.
Full textBishop, Kelly, Nicolai Kuminoff, Sophie Mathes, and Alvin Murphy. The Marginal Cost of Mortality Risk Reduction: Evidence from Housing Markets. Cambridge, MA: National Bureau of Economic Research, December 2021. http://dx.doi.org/10.3386/w29622.
Full textKindermann, Fabian, and Dirk Krueger. High Marginal Tax Rates on the Top 1%? Lessons from a Life Cycle Model with Idiosyncratic Income Risk. Cambridge, MA: National Bureau of Economic Research, October 2014. http://dx.doi.org/10.3386/w20601.
Full textArteaga, Felipe, Gregory Elacqua, Thomas Krussig, Carolina Méndez, and Christopher Neilson. Can Information on School Attributes and Placement Probabilities Direct Search and Choice? Evidence from Choice Platforms in Ecuador and Peru. Inter-American Development Bank, November 2022. http://dx.doi.org/10.18235/0004672.
Full textBruce, Judith, and Shelley Clark. Including married adolescents in adolescent reproductive health and HIV/AIDS policy. Population Council, 2004. http://dx.doi.org/10.31899/pgy22.1002.
Full textNadal-Caraballo, Norberto, Madison Yawn, Luke Aucoin, Meredith Carr, Jeffrey Melby, Efrain Ramos-Santiago, Fabian Garcia-Moreno, et al. Coastal Hazards System–Puerto Rico and US Virgin Islands (CHS-PR). Engineer Research and Development Center (U.S.), December 2022. http://dx.doi.org/10.21079/11681/46200.
Full textZhang, Hongbin, Ronaldo H. Szilard, Stephen Hess, and Rosemary Sugrue. A Strategic Approach to Employ Risk-Informed Methods to Enable Margin Recovery of Nuclear Power Plants Operating Margins. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1514992.
Full textNadal-Caraballo, Norberto C., Madison C. Yawn, Luke A. Aucoin, Meredith L. Carr, Jeffrey A. Melby, Efrain Ramos-Santiago, Victor M. Gonzalez, et al. Coastal Hazards System–Louisiana (CHS-LA). US Army Engineer Research and Development Center, August 2022. http://dx.doi.org/10.21079/11681/45286.
Full textSmith, Curtis L., Zhegang Ma, Tom Riley, Diego Mandelli, Joseph W. Nielsen, Andrea Alfonsi, and Cristian Rabiti. Risk-Informed Safety Margin Characterization Methods Development Work. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1169248.
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