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Literatura académica sobre el tema "Risk analysis"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 9 de junio de 2025

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Artículos de revistas sobre el tema "Risk analysis"

Koza, Patrycja, and Jarosław Krzywański. "New method of occupational risk assessment – Risk Analysis." International Journal of Engineering and Safety Sciences 1 (2020): 69–84. http://dx.doi.org/10.16926/ijess.2020.01.05.

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The article presents a new method of risk assessment Risk Analysis. The first part of the article is an introduction that informs about the essence of risk assessment and addresses the lack of a parameter describing the impact of human behaviour on occupational risk in existing methods of risk assessment. The statistical information presented confirms the significant impact of human behaviour on the occurrence of an accident at work. The second chapter is devoted exclusively to the subject of risk assessment. The third chapter contains the main part of the article, i.e. the presentation of the author's own risk assessment method, which consists of an individually developed formula and parameters. The article presents the Risk Analysis method, as well as its features, which distinguish it from other methods. The method is characterized by accuracy, functionality, and an innovative approach to the subject of professional risk assessment.

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Viscusi, W. Kip. "Risk-risk analysis." Journal of Risk and Uncertainty 8, no. 1 (January 1994): 5–17. http://dx.doi.org/10.1007/bf01064083.

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Lund, Jay R. "A Risk Analysis of Risk Analysis." Journal of Contemporary Water Research & Education 140, no. 1 (September 2008): 53–60. http://dx.doi.org/10.1111/j.1936-704x.2008.00028.x.

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Kizilaslan, H., and N. Kizilaslan. "Risk analysis in Turkey milk production." Czech Journal of Food Sciences 25, No. 3 (January 7, 2008): 144–50. http://dx.doi.org/10.17221/743-cjfs.

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The present study has been done in order to determine the risks inherent in the milk production in Turkey. For that objective, factors such as the milk yield, the gross revenues realised, and the price levels as reflected to the producer&rsquo;s benefits, have been taken into account. Upon the calculation of the measures for variables, fluctuations were found in the milk yield, prices, and gross revenues. Based on the hypothesis that the information possessed by the producer on the economic and technological developments is scarce and restrained, the variable coefficient has been calculated as 10.81% for yield, 23.26% for prices, and 30.01% for gross revenues, respectively. With the hypothesis that the producers are aware of and informed on the economic and technological developments, these ratios, that is to say, the fortuitous variable coefficients would be, respectively, 2.07%, 15.96%, and 16.07%. According to the conclusions reached, an environment in which the producers can take rational decisions concerning the milk production can be said not to exist. For this reason, the government intervention through efficient measures for the dairy production will be necessary. Furthermore, the producers should be given informational support through the published studies in the agricultural extension.

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Říhová Ambrožová, J., J. Říha, J. Hubáčková, and I. Čiháková. "Risk analysis in drinking water accumulation." Czech Journal of Food Sciences 28, No. 6 (December 13, 2010): 557–63. http://dx.doi.org/10.17221/98/2010-cjfs.

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Drinking water is safe water, from the perspective of long-term use is does not cause any disease, pathogenic and hygienically unsafe microorganisms do not spread in it and customers enjoy its consumption. Drinking water is regarded as a foodstuff, therefore the known HACCP system can be used in the control system which can be applied not only directly to the final product, but also to the whole system of drinking water production, distribution, and accumulation. Even if there is no problem concerning the water processing and the technological line is well adjusted, the quality of drinking water is subsequently deteriorated by its transportation and accumulation. The condition and character of the operated distribution network and reservoirs are significantly and substantially related to the maintenance of the biological stability and quality of drinking water. This is well confirmed by biological audits of the distribution networks and water reservoirs. A significant fact is the negative influence of the secondary contamination by air in the reservoir facilities and the occurrence of microorganisms (fungi, bacteria) in free water and in biofilms. The findings obtained in the framework of biological audits were so alarming that the outputs of biological audits contributed to the reconsideration of the efficiency of the standard for the construction and design of water reservoirs and pointed out the necessity of its review.

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K, Roopa. "Credit Risk Management - A Case Analysis." International Journal of Science and Research (IJSR) 12, no. 12 (December 5, 2023): 361–66. http://dx.doi.org/10.21275/sr231128152822.

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Van Groenendaal, Willem J. H. "Measuring Risk: Risk Analysis or Sensitivity Analysis?" IFAC Proceedings Volumes 28, no. 7 (July 1995): 443–50. http://dx.doi.org/10.1016/s1474-6670(17)47145-x.

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Adesanya, Mobolade E. "Assessing Credit Risk through Borrower Analysis to Minimize Default Risks in Banking Sectors Effectively." International Journal of Research Publication and Reviews 5, no. 12 (December 2024): 5479–93. https://doi.org/10.55248/gengpi.5.1224.0233.

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Cizek, Milan, Miroslav Mimra, Miroslav Kavka, and Jaroslav Humpal. "Analysis of economic risk in potatoes cultivation." Agricultural Economics (Zemědělská ekonomika) 65, No. 7 (July 17, 2019): 331–39. http://dx.doi.org/10.17221/319/2018-agricecon.

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A number of variables influences potatoes growing, including natural conditions, used growing technologies and market conditions. The most important parameters for the production of potatoes crops are yield, farmer’s price, subsidies and costs. All these parameters can change over time. This means that managers of farms must constantly assess the key parameters affecting the economic outturn and analyse the degree of risk of their achievement. This article analyses the economic risks of potatoes cultivation based on statistical data obtained over the last 10 years. The Monte Carlo stochastic simulation method was used to analyse the risk of gross profits. The results of the calculations confirmed the considerable variability and risk of growing potatoes in the climate conditions of the Czech Republic in general, and especially regarding the first early potatoes and potatoes for starch production.

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Liu, K. F. R., K. Yeh, M. J. Hung, C. W. Chen, and Y. S. Shen. "Health Risk Analysis of Indoor Air Pollution." International Journal of Environmental Science and Development 6, no. 6 (2015): 464–68. http://dx.doi.org/10.7763/ijesd.2015.v6.638.

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Tesis sobre el tema "Risk analysis"

Bergvall, Jacob, and Louise Svensson. "Risk analysis review." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119379.

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The risk analysis process is the foundation of creating secure systems. An accurate and well defined risk analysis will therefore be a big help for any company, indicating what resources are needed and where they should be put to use. It can be difficult to know which risk analysis methodology to use given a set of parameters such as available resources, time, money etc. In this review we will introduce several different risk analysis methodologies and classify them using our risk analysis classification system. Our classification points out some of the pros and cons for each method, making it easier to choose the one best suited for a specific scenario. We will also connect the presented methods with real-world usage of said methods. To do this we have conducted interviews with IT-security experts at several major companies and we will present previous documented usage of risk analysis methods. Larger companies tend to develop their own methods for risk analysis, and smaller companies that do not have enough time or resources to develop their own methods are more likely to use already existing methods. With that said we believe that anyone that works with risk analysis could have use of our review.

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Payne, Brad. "Project risk analysis." Thesis, Nottingham Trent University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263943.

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Liwång, Hans, Jonas W. Ringsberg, and Martin Norsell. "Quantitative risk analysis : Ship security analysis for effective risk control options." Försvarshögskolan, Militärtekniska avdelningen (MTA), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:fhs:diva-3800.

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This study reviews ship security assessment. The objectives are to explore the possibilities for quantifying and performing a more thorough ship security risk analysis than that described in the International Ship and Port Facility Security code and to evaluate to what extent this more detailed analysis increases ship security and facilitate the effective selection of risk control options. The study focuses on Somali-based maritime piracy, using piracy on the Indian Ocean as a case study. Data are collected using questionnaires and interviews with civilian and military security experts who possess firsthand experience of piracy off the coast of Somalia. The data are collected specifically for this study and describe and quantify the threat’s capability, intent and likelihood of exploiting a ship’s vulnerability. Based on the collected description of the threat, the study analyzes and describes: probability of detection by pirates, probability of successful approach, and probability of successful boarding. The performed work shows good agreement between calculated probabilities and frequencies in the cited incident reports. Also, the developed scenarios describe the most important influences on the analyzed areas. The research therefore shows that the proposed risk-based approach, which uses structurally collected and documented information on the threat, can increase ship security by assisting in selecting risk control options. The approach also allows for a better understanding of the causal relationship between threat and risk than that provided in today’s security analysis by ship owners, for example. This understanding is crucial to choosing effective and robust risk control options.

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Nelson, Laura Kathleen. "Risky business: social media metrics and political risk analysis." reponame:Repositório Institucional do FGV, 2015. http://hdl.handle.net/10438/13626.

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Submitted by Laura Nelson (nelson.lkn@gmail.com) on 2015-04-13T21:22:34Z No. of bitstreams: 1 L Nelson - MPGI Thesis 2015.pdf: 3337611 bytes, checksum: 0d2c94b96220464f0b91982c3a7f727d (MD5) Approved for entry into archive by Luana Rodrigues (luana.rodrigues@fgv.br) on 2015-04-14T12:04:24Z (GMT) No. of bitstreams: 1 L Nelson - MPGI Thesis 2015.pdf: 3337611 bytes, checksum: 0d2c94b96220464f0b91982c3a7f727d (MD5) Made available in DSpace on 2015-04-14T12:19:03Z (GMT). No. of bitstreams: 1 L Nelson - MPGI Thesis 2015.pdf: 3337611 bytes, checksum: 0d2c94b96220464f0b91982c3a7f727d (MD5) Previous issue date: 2015 Quantifying country risk – and in particular, political risk – poses great difficulties for business, institutions, and investors alike. As economic indicators are updated far less frequently than Facebook feeds, it can be challenging for political risk analysts to understand, and more importantly measure, what is taking place in real time on the ground. However, with the growing availability of big data from social media platforms such as Twitter, now is an opportune moment to examine the types of social media metrics that are available and the limitations to applying them to country risk analysis, particularly during episodes of political upheaval. This study, using the qualitative method of bibliographical research, identifies the current landscape of data available from Twitter, analyzes the current and potential methods of analysis, and discusses their possible application to the field of political risk analysis. After a thorough review of the field to date, and given the expected near- to medium-term technological advancements, this study concludes that despite obstacles like the cost of data storage, limitations of real-time analysis, and the potential for data manipulation, the potential benefits of the application of social media metrics to the field of political risk analysis, particularly for structured-qualitative and quantitative models, outweigh the challenges. A quantificação do risco país – e do risco político em particular – levanta várias dificuldades às empresas, instituições, e investidores. Como os indicadores econômicos são atualizados com muito menos freqüência do que o Facebook, compreender, e mais precisamente, medir – o que está ocorrendo no terreno em tempo real pode constituir um desafio para os analistas de risco político. No entanto, com a crescente disponibilidade de 'big data' de ferramentas sociais como o Twitter, agora é o momento oportuno para examinar os tipos de métricas das ferramentas sociais que estão disponíveis e as limitações da sua aplicação para a análise de risco país, especialmente durante episódios de violência política. Utilizando o método qualitativo de pesquisa bibliográfica, este estudo identifica a paisagem atual de dados disponíveis a partir do Twitter, analisa os métodos atuais e potenciais de análise, e discute a sua possível aplicação no campo da análise de risco político. Depois de uma revisão completa do campo até hoje, e tendo em conta os avanços tecnológicos esperados a curto e médio prazo, este estudo conclui que, apesar de obstáculos como o custo de armazenamento de informação, as limitações da análise em tempo real, e o potencial para a manipulação de dados, os benefícios potenciais da aplicação de métricas de ferramentas sociais para o campo da análise de risco político, particularmente para os modelos qualitativos-estruturados e quantitativos, claramente superam os desafios.

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Zhang, Minhao. "Managerial perception of supply chain quality risk : risk analysis and decision analysis." Thesis, University of York, 2017. http://etheses.whiterose.ac.uk/20715/.

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Due to increased supply chain complexity, ensuring the quality of supply materials or products from upstream suppliers has become a challenge for firms. A great deal has been written on possible solutions and strategies to deal with supply chain quality risk (SCQR) in recent years. However, the manager’s decision-making process in relation to SCQR has not been fully researched. To close this gap, the aims of this study were to scrutinise managers’ perceptions of SCQR, as well as the antecedents of and decision-making related to perceived SCQR. The relevant literature was comprehensively reviewed in order to build a foundation for the conceptualisation of perceived SCQR. This study proposed that the managerial perception of SCQR was a multi-dimensional concept with four representations. A rigorous scale development process was adopted to develop a set of reliable instruments to measure perceived SCQR. With a sample of 316 Chinese manufacturers, the validity and reliability of the measurement scales for the representations of SCQR perception were assessed. Based on the risky-decision making model, a theoretical framework of the managerial decision-making process in relation to perceived SCQR was proposed. Furthermore, the agency theory and resource dependence theory were drawn on to identify factors related to the supply chain relationship and supply chain quality barriers that might have effects on three of the representations of SCQR. Based on the resource dependence theory, it was found that buyer and supplier dependence affect the representations of SCQR differently. The empirical results indicate that the inability to test and inability to trace are significant drivers of the perception of SCQR. The representation of SCQR impact on the intention of adopting two oriented quality management practices was also examined. The result reveals that when managers face increasing SCQR, they tend to be conservative in applying the quality management practices.

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Penha, Ricardo Miguel do Brito. "Default risk : analysis of a credit risk model." Master's thesis, Instituto Superior de Economia e Gestão, 2016. http://hdl.handle.net/10400.5/12902.

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Mestrado em Ciências Actuariais Uma parte considerável do negócio bancário inclui naturalmente o empréstimo de dinheiro. Inerentemente, o risco de não receber de volta o montante emprestado é assumido pela instituição bancária. Neste trabalho, o risco de incumprimento é estudado através da função de distribuição das perdas agregadas. Depois de feita a ponte entre as características de uma carteira de empréstimos de um banco e as características de uma carteira de apólices de seguros vida, os resultados da Teoria de Risco podem ser aplicados à carteira em estudo. O CreditRisk+, geralmente classificado como o modelo actuarial, é um modelo de risco de crédito que tem por base esta ponte. Para aplicação deste modelo, é necessária informação relativa às probabilidades de incumprimento de cada devedor e a exposição ao risco, que no nosso caso é igual ao montante em dívida. Na primeira parte deste trabalho é estimada a probabilidade de incumprimento através de um modelo logit, tendo em conta alguns indicadores financeiros da empresa. Seguidamente, no contexto de um modelo de risco coletivo, é aplicado o método iterativo de Panjer. Seguindo a metodologia proposta pelo modelo CreditRisk+, a carteira é seguidamente dividida em setores e, em cada setor, é introduzida volatilidade à probabilidade de incumprimento. No final, conclui-se que conseguem ser obtidos resultados semelhantes utilizando métodos de aproximação menos dispendiosos, nomeadamente com a aproximação NP. Finalmente, a taxa de juro média que o banco deveria aplicar aos empréstimos em carteira é calculada, assim como a reserva que deveria ter sido constituída. A considerable part of the banking business includes the lending of money. Inherently, a bank incurs the risk of not receiving back the money lent. In this work, default risk is studied through the distribution function of the aggregate losses. After making the link between the characteristics of a portfolio of loans and of a life insurance policies portfolio, Risk Theory results are applied to the portfolio of loans under study. CreditRisk+, usually classified as the actuarial model, is a credit risk model which uses this link. As an input to this model, both the individual probabilities of default for each obligor and the exposure at risk are needed. The first part of this work focus on the estimation of the probability of default through a logit model, taking into account some financial indicators of the company. Then, in the context of a collective risk model, Panjer?s recursive algorithm is applied. Following the methodology of CreditRisk+, the portfolio is then divided into sectors and default volatility is introduced in each sector, reaching a different aggregate loss distribution function. At the end, we find that similar results are obtained with less time consuming approximation methods, particularly with NP approximation. Finally, the average interest rate that the bank should have charged to the loans in the portfolio is found as well as the amount of money that should have been reserved to account for losses. info:eu-repo/semantics/publishedVersion

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Gallagher, Elisabeth. "Studies in risk analysis, with an emphasis on risk assessment and risk communication." Thesis, Royal Veterinary College (University of London), 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419975.

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Laukka, Lucas, and Carl Fransson. "Cloud risk analysis using OCTAVE Allegro : Identifying and analysing risks of a cloud service." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176731.

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Cybersecurity is currently an important and relevant issue, as more and more industries are taking advantage of the accessibility of storing information online. To create a secure system one must know the potential risks and attacks on that system, making risk analysis a very potent tool. In this study, we performed such an analysis using the risk analysis method OCTAVE Allegro on a company providing a cloud-based service to find out what risks a cloud service provider might be exposed to, and the usefulness of said risk analysis method in this circumstance. We found that OCTAVE Allegro is suitable to use on smaller companies and applicable to cloud services, and the most severe risks identified were connected to leakage of client data with a consequence of damaging the company's reputation. Common areas of concern for these risks were third parties hacking the cloud server or other company systems to gain access to sensitive information. Such risks will likely be found at any company providing a cloud service that manages sensitive data, increasing the importance of risk analysis at these companies.

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L, Sousa Rita. "Risk analysis for tunneling projects." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/58282.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2010. Cataloged from PDF version of thesis. Includes bibliographical references (p. 574-589). Tunnel construction is increasing world wide. Although the majority of tunnel construction projects have been completed safely, there have been several incidents that have resulted in delays, cost overruns, and sometimes more significant consequences such as injury and loss of life. To help eliminate these accidents, it is necessary to systematically assess and manage the risks associated with tunnel construction. In order to better understand the conditions under which accidents occur, a database of 204 tunnel construction accidents was assembled. This is the most comprehensive database known to date. The database was analyzed to better understand the causes of accidents. Influence diagrams were constructed containing the main factors, and the interactions between them. These served as the basis of the risk assessment methodology presented in this work. The risk assessment methodology consists of combining a geologic prediction model that allows one to predict geology ahead of the tunnel construction, with a decision support model that allows one to choose amongst different construction strategies the one that leads to minimum risk. The geologic prediction model is based on Bayesian networks because of their ability to combine domain knowledge with data, encode dependencies among variables, and their ability to learn causal relationships. (cont.) The combined geologic prediction - decision support model was then applied to the Porto Metro, in Portugal. The results of the geologic prediction model were in good agreement with the observed geology, and the results of the decision support model were in good agreement with the construction methods used. More significant, however, is the ability of the model to predict changes in geology and consequently changes in construction strategy. This was shown in two zones of the tunnel were accidents occurred, where the model predicted an abrupt change in geology, and the construction method should have been changed but was not. Using the model could have possibly avoiding the accidents. This risk assessment methodology provides a powerful tool with which planners and engineers can systematically assess and mitigate the inherent risks associated with tunnel construction. by Rita L. Sousa. Ph.D.

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Engelmann, Josh. "Dairy price risk management analysis." Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/13209.

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Master of Agribusiness Department of Agricultural Economics Kevin Dhuyvetter The size of our dairy operation increased from 300 milk cows to 1,700 milk cows in 2003. Once the dairy operation increased, the dependency on milk price to support the entire operation also increased. This was due to the fact that the cropping side of the operation became more devoted to growing feed for the livestock as opposed to producing cash crops. Thus, the increase in the number of milk cows led to decreased diversity in our income potentially increasing the financial risk of the operation. The purpose of this thesis is to study different risk management tools and strategies to aid in the formulation of a risk management plan for milk sales in our operation. Risk management strategies using forward contracts, futures, put options, and cash were analyzed at different time periods and various minimum price levels. The strategies were analyzed over the last ten years (2001-2010) of available price data. Twenty-five risk management strategies were analyzed both with and without set minimum milk prices. Minimum price levels ranged from $14/cwt to $17/cwt in $1 increments. The time frame for the transaction ranged from zero to twelve months prior to production in three-month increments. Based on historical data, risk management strategies can be used to decrease the price risk faced by an operation. The risk management strategies did not affect the average price received at statistically significant levels typically considered. Different risk management opportunities are highlighted that need to be analyzed before fully implementing a risk management plan for dairy operations.

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Libros sobre el tema "Risk analysis"

Aven, Terje. Risk Analysis. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781119057819.

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Zervos, Constantine, Kathleen Knox, Lee Abramson, and Rob Coppock, eds. Risk Analysis. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-0730-1.

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Flaus, Jean-Marie. Risk Analysis. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118790021.

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Management, Institute of Risk, ed. Risk analysis. London: Witherby & Co., 2003.

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Dickson, G. C. A. Risk analysis. London: Institute of Risk Management, 1987.

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Chartered Institute of Public Finance and Accountancy., ed. Risk analysis. London: Chartered Institute of Public Finance and Accountancy, 1986.

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L, Rubio J., Brebbia C. A, Usō J-L, and International Conference on Computer Simulation in Risk Analysis and Hazard Mitigation (1st : 1998 : Valencia, Spain), eds. Risk analysis. Boston: WIT Press, 1998.

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Aven, Terje. Risk analysis. Chichester, West Sussex, United Kingdom: John Wiley & Sons, 2015.

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Cox, Louis A. Improving risk analysis. New York, NY: Springer, 2012.

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Greenberg, Michael. Explaining Risk Analysis. Abingdon, Oxon ; New York, NY : Routledge, 2017.: Routledge, 2016. http://dx.doi.org/10.4324/9781315647579.

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Capítulos de libros sobre el tema "Risk analysis"

Viscusi, W. Kip. "Risk-Risk Analysis." In The Mortality Costs of Regulatory Expenditures, 5–17. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1360-1_1.

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Edgerton, Sylvia A. "Risk Tracers: Surrogates for Assessing Health Risks." In Risk Analysis, 85–92. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-0730-1_10.

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Nalewaik, Alexia. "Risk." In Strategic Project Analysis, 36–43. London: Routledge, 2024. https://doi.org/10.4324/9781003014928-5.

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Levinson, Alfred. "Risk Communication: Talking About Risk Reduction Instead of Acceptable Risk." In Risk Analysis, 387–92. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-0730-1_38.

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Flaus, Jean-Marie. "Modeling Risk." In Risk Analysis, 71–91. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118790021.ch5.

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Alleman, Glen B., and Jon M. Quigley. "Risk Analysis." In Risk Management, 58–109. Boca Raton: Auerbach Publications, 2024. http://dx.doi.org/10.1201/9781003425465-3.

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Sheedy, Elizabeth. "Risk Analysis." In Risk Governance, 102–14. Abingdon, Oxon ; New York, NY : Routledge, 2021. | Series: Routledge contemporary corporate governance: Routledge, 2021. http://dx.doi.org/10.4324/9781003123736-10.

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Borghesi, Antonio, and Barbara Gaudenzi. "Risk Analysis." In Risk Management, 53–85. Milano: Springer Milan, 2012. http://dx.doi.org/10.1007/978-88-470-2531-8_6.

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Hantschel, Thomas, and Armin I. Kauerauf. "Risk Analysis." In Fundamentals of Basin and Petroleum Systems Modeling, 341–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-72318-9_7.

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Aven, Terje. "Risk Analysis." In Springer Series in Reliability Engineering, 125–49. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-470-8_5.

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Actas de conferencias sobre el tema "Risk analysis"

Zahedi, S. "Risk typology." In RISK ANALYSIS 2008. Southampton, UK: WIT Press, 2008. http://dx.doi.org/10.2495/risk080221.

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Federici, A. "Trade openness and policy tools: a vulnerability approach for the Italian regions." In RISK ANALYSIS 2008. Southampton, UK: WIT Press, 2008. http://dx.doi.org/10.2495/risk080311.

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Deshpande, N. P., and R. Gupta. "Crowd management using fuzzy logic and G.I.S." In RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100281.

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Dragomir, C. S., and A. S. Tronac. "Seismic risk assessment of reinforced concrete buildings." In RISK ANALYSIS 2014. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/risk140071.

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Amicucci, G. L., and P. Gentile. "Reliability evaluation of metal oxide varistors for maintenance scheduling." In RISK ANALYSIS 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/risk060171.

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Charchalis, A. "Diagnosis as a fundamental element for the safe exploitation of marine power plants." In RISK ANALYSIS 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/risk060301.

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Kawata, Y. "Recent development of tsunami disaster reduction management in Japan after the 2004 Indian Ocean Tsunami." In RISK ANALYSIS 2008. Southampton, UK: WIT Press, 2008. http://dx.doi.org/10.2495/risk080171.

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Antunes do Carmo, J. Simão. "Guidelines and tools to prevent risks in valleys downstream from large dam-reservoir systems: a review." In RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100131.

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Majdara, A., and T. Wakabayashi. "Computerized fault tree construction for improved reliability analysis." In RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100141.

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Hamid, N. H., and S. A. Anuar. "Seismic risk assessment of three types of exterior beam-column joints using fragility curves." In RISK ANALYSIS 2014. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/risk140081.

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Informes sobre el tema "Risk analysis"

Helms, J. Quantitative Risk Analysis. Office of Scientific and Technical Information (OSTI), February 2017. http://dx.doi.org/10.2172/1345342.

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Shedrow, C. B. DWPF risk analysis summary. Office of Scientific and Technical Information (OSTI), October 1990. http://dx.doi.org/10.2172/6215794.

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Stedinger, Jery, David C. Heath, and Kay Thompson. Risk Analysis for Dam Safety Evaluation: Hydrologic Risk. Fort Belvoir, VA: Defense Technical Information Center, March 1996. http://dx.doi.org/10.21236/ada316926.

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Prescott, Steven, Ramprasad Sampath, and John Biersdorf. Risk-Informed Systems Analysis (RISA) Dynamic Fire PRA Roadmap. Office of Scientific and Technical Information (OSTI), March 2018. http://dx.doi.org/10.2172/1467474.

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Engel, David W. Initial Decision and Risk Analysis. Office of Scientific and Technical Information (OSTI), February 2012. http://dx.doi.org/10.2172/1062507.

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Haimes, Yacov Y., Raja Petrakian, Per-Ola Karlsson, and James Mitsiopoulos. Multiobjective Risk Partitioning: An Application to Dam Safety Risk Analysis. Fort Belvoir, VA: Defense Technical Information Center, April 1988. http://dx.doi.org/10.21236/ada197011.

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Rish, W. R. Approach to uncertainty in risk analysis. Office of Scientific and Technical Information (OSTI), August 1988. http://dx.doi.org/10.2172/7141098.

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Stenner, R. D., D. L. Strenge, and J. W. Buck. RAMS (Risk Analysis - Modular System) methodology. Office of Scientific and Technical Information (OSTI), October 1996. http://dx.doi.org/10.2172/398559.

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Booth, Steven, and Ariel Lybarger. Application and Interpretation of Acumen Risk® Schedule and Cost Risk Analysis. Office of Scientific and Technical Information (OSTI), July 2020. http://dx.doi.org/10.2172/1893653.

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Basche, A. D. Single-shell tank interim stabilization risk analysis. Office of Scientific and Technical Information (OSTI), July 1998. http://dx.doi.org/10.2172/362432.

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