Relevant bibliographies by topics / Level of risk

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Level of risk'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Level of risk"

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Titus, James G., and Vijay Narayanan. "The risk of sea level rise." Climatic Change 33, no. 2 (June 1996): 151–212. http://dx.doi.org/10.1007/bf00140246.

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Newman, Alan. "Low-level radioactive wastes, high-level risk?" Environmental Science & Technology 28, no. 11 (October 1994): 488A—491A. http://dx.doi.org/10.1021/es00060a004.

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Sayed Abd Elghaffar, Emad, Ahmed Mohamed Abotalib, and Manal Abdel Azeem Mohamed Khalil. "Determining factors that affect risk disclosure level in Egyptian banks." Banks and Bank Systems 14, no. 1 (March 26, 2019): 159–71. http://dx.doi.org/10.21511/bbs.14(1).2019.14.

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This study aims to measure the risk disclosure level in Egyptian banks and to investigate its determinants. The sample consisted of 28 banks during the period from 2010 to 2017. An unweighted risk disclosure index including six categories was used: credit risk, market risk, liquidity risk, capital structure and adequacy risk, operational risk, and other non-financial risks. Also, a content analysis approach was used to measure the actual level of risk disclosure. The findings demonstrated that there was an average level of total risk disclosure of all sample banks. The results showed that banks with a higher percentage of independent board membership, large board size, large audit committee size, duality, higher institutional ownership, and banks audited by one of big four audit firms were more motivated to increase risk disclosure. Also, the results showed that leverage, bad news, and bank social responsibility have a negative relationship with the level of risk disclosure. Overall, the results indicated that leverage, board size, audit committee size, auditor types, independence, duality, institutional ownership, bank social responsibility, and bad news are the main factors affecting the level of risk disclosure in Egyptian banks. The findings of this paper have a number of important implications. The risk disclosure in the banking sector is important for stakeholders such as investors and depositors. Also, risk disclosure index helps the regulatory bodies to evaluate the risk disclosure practice in Egyptian banks. This paper contributes to analyzing factors affecting banks managers’ decision to disclose risk information in emerging countries such as Egypt.
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Lavrushin, Oleg, and Natalia Sokolinskaya. "Retraction: Confidence level and credit risk analysis in Russian banks." Banks and Bank Systems 15, no. 2 (April 16, 2020): 38–46. http://dx.doi.org/10.21511/bbs.15(2).2020.04.

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Retracted on August 17, 2020 by the Journal’s owner and Publisher. Type of retraction – plagiarism.There wasn’t a request for this retraction, but the reason for investigation of plagiarism fact was the Russian Academy of Sciences Committee’s report “Predatory Journals at Scopus and WoS: Translation Plagiarism from Russian Sources”: https://kpfran.ru/wp-content/uploads/plagiarism-by-translation-2.pdf” dated August 12, 2020. The publishing house has familiarized itself with the report. The article by Alexey Mikhaylov, Natalia Sokolinskaya and Evgeniy Lopatin (2019). Asset allocation in equity, fixed-income and cryptocurrency on the base of individual risk sentiment. Investment Management and Financial Innovations, 16(2), 171-181. doi:10.21511/imfi.16(2).2019.15 was mentioned in this report. It is noted that translation plagiarism was detected in this article - http://wiki.dissernet.org/wsave/IMFI_2019_2_1publ.html. Due to this the publishing house carried out an investigation on possible cases of plagiarism of all articles of these authors (Alexey Mikhaylov, Natalia Sokolinskaya and Evgeniy Lopatin) published in “Business Perspectives” journals. When the manuscript "Confidence level and credit risk analysis in Russian banks" was submitted to the Journal for consideration, the authors signed the Cover letter and attested to the fact that their manuscript is an original research and has not been published before. Then, the manuscript was accepted for consideration by the Managing Editor and was tested for plagiarism using the iThenticate and Unicheck programs. Plagiarism was not detected. On August 12, 2020 the Russian Academy of Sciences Committee’s presented the report. Editorial staff decided to re-test all articles of mentioned authors for plagiarism using the iThenticate and Unicheck programs – the programs didn’t show the plagiarism, then the articles were tested for translation plagiarism by the experts of “Business Perspectives” and plagiarism was detected (plagiarism and paraphrases from Russian-language sources). According to the results of the investigation, the Publisher and owner of the journal decided to retract this article because of plagiarism on August 17, 2020.The authors were notified of such a decision.
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Nadraga, Vasiliy, and Anatoliy Balanda. "Macro-level Modelling of Budget Support for Social Risk Management." Central Ukrainian Scientific Bulletin. Economic Sciences, no. 2(35) (2019): 144–51. http://dx.doi.org/10.32515/2663-1636.2019.2(35).144-151.

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Prasad, Kedar N., William C. Cole, and Gerald M. Haase. "Low-Level Radiation Risk." American Journal of Roentgenology 181, no. 1 (July 2003): 278–79. http://dx.doi.org/10.2214/ajr.181.1.1810278a.

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Filipović, Damir. "Multi-Level Risk Aggregation." ASTIN Bulletin 39, no. 2 (November 2009): 565–75. http://dx.doi.org/10.2143/ast.39.2.2044648.

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AbstractIn this paper we compare the current Solvency II standard and a genuine bottom-up approach to risk aggregation. This is understood to be essential for developing a deeper insight into the possible differences between the diversification assumptions between the standard approach and internal models.
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Hinkel, Jochen, Carlo Jaeger, Robert J. Nicholls, Jason Lowe, Ortwin Renn, and Shi Peijun. "Sea-level rise scenarios and coastal risk management." Nature Climate Change 5, no. 3 (February 25, 2015): 188–90. http://dx.doi.org/10.1038/nclimate2505.

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Zagursky, O. M. "Assessment model of risk tolerability level of perishable agricultural products transportation." Naukovij žurnal «Tehnìka ta energetika» 11, no. 2 (July 5, 2020): 59–66. http://dx.doi.org/10.31548/machenergy2020.02.059.

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KURISAKA, Kenichi, and Shigeki OKAMURA. "ICONE19-43802 PRELIMINARY EVALUATION OF JSFR ACHIEVEMENT LEVEL TO RISK TARGETS." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2011.19 (2011): _ICONE1943. http://dx.doi.org/10.1299/jsmeicone.2011.19._icone1943_310.

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Dissertations / Theses on the topic "Level of risk"

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Meneray, Jennifer. "Coming Out| When Micro Level Vulnerabilities lead to Macro Level Risk." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10822934.

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Exploratory projects have the capability to emerge new ways of understanding data. Non-traditional perspectives, like the intersectional-vulnerability standpoint used in this project, enable researchers to step back and look at experiences differently. At the beginning of this paper, I relate my experience of coming out as lesbian to the experience of coming out as a child witness of abuse in order to set the standard of how I conceptualize coming out. Coming out was an experience that connects LGBTQ people across the spectrum allowing me to use that experience to bring LGBTQ identities together. Assumptions about the coming out experience in relation to sexual orientation and gender identity are challenged and a new theory emerges. Related to coming out, the experience of getting out of an abusive relationship reflects parallel perceptions around fear, risk, and vulnerability. It is by building the bridge between researcher and participants that I was able to challenge bias and create a new idea about the coming out/getting out process for LGBTQ survivors.

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Mårtensson, Jonathan. "Visualisation of Risk Level in Portfolio Management." Thesis, Uppsala University, Department of Mathematics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-121375.

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Fang, Cheng S. M. Massachusetts Institute of Technology. "Mission-level planning with constraints on risk." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/93799.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 89-94).
The problem of routing vehicles for data collection is common in the scientific world. In underwater surveys with autonomous vehicles, for example those conducted by the Woods Hole Oceanographic Institute, the autonomous underwater vehicle (AUV) must visit a list of sites to take samples. The order in which the locations are visited should be such that samples are taken during specified time windows, and the total distance travelled is relatively short. An automated planner could act as a force multiplier for all such scientific missions. While current planners in the operations research community can perform vehicle routing with deterministic traversal and deterministic time windows, they are unable to account for stochasticity inherent in real world applications. For example, the time of traversal for vehicles between locations may be uncertain, due to disturbances such as varying currents. Arrival deadlines may also be stochastic, due to the probabilistic times of occurrence for interesting phenomena at each location. Lastly, there is a non-zero probability of failure during traversal, when the vehicle strikes the sea floor due to sudden changes in topography. The ability to plan under uncertainty is vital when we require probabilistic guarantees on success. In this thesis, I consider a novel stochastic single-vehicle routing problem, and propose a chance-constrained solution method. As with previous work, I assume that there exists some roadmap representation of the world with associated costs of traversal, and the vehicle must visit a set of goals subject to a list of temporal constraints. The novelty of my problem is due to the addition of probabilistic times for edge traversal, probabilistic temporal constraints, and stochastic breakdowns on edge traversal. I present a solution method which returns a list of waypoints and a schedule of events which minimises the cost of traversal, subject to an upper bound on the probability of breakdowns and failure to meet temporal constraints. Noting dependence of travel time on path taken, I decompose the problem into two stages. The first stage finds, in best first order, solutions which allow the vehicle to visit the goal locations subject to the upper bound on the probability of breakdowns. Using each solution, the planner can extract the corresponding probabilistic durations for travel times and rewrite these as probabilistic temporal constraints. The second stage solves the resulting chance- constrained probabilistic simple temporal problem (CC-pSTP), in which events must be scheduled such that the probability of failing any of the temporal constraints is below the specified bound. I show that the joint solutions to the first and second stages correspond to valid waypoints and schedules for the original problem, and work through an example problem for an AUV survey mission.
by Cheng Fang.
S.M.
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Pierre, P. Joseph. "Individual-level risk and community-level risk for emotional and behavioural problems in children of disadvantaged communities in Ontario." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ55926.pdf.

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Babick, John P. "Tri-level optimization of critical infrastructure resilience." Thesis, Monterey, California : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/theses/2009/Sep/09Sep%5FBabick.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, September 2009.
Thesis Advisor(s): Carlyle, W. Matthew. "September 2009." Description based on title screen as viewed on November 04, 2009. Author(s) subject terms: Network analysis for critical infrastructure. Includes bibliographical references (p. 31-32). Also available in print.
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Osborn, Douglas M. "Seamless Level 2 / Level 3 Probabilistic Risk Assessment Using Dynamic Event Tree Analysis." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1372524956.

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Sangrasi, Asif. "Component level risk assessment modelling for grid resources." Thesis, University of Leeds, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.590154.

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Service level agreements (SLAs), as formal contractual agreements, increase the confidence level between the End User and the Grid Resource provider, as compared to the best effort approach. However, SLAs fail short of assessing the risk in acceptance of the SLA; Risk Assessment in Grid computing fills that gap. Risk Assessment is crucial for the Resource provider as failing to fulfil an SLA will result in facing a financial penalty_ Thus risk, a deterrent to the commercial viability of Grids, needs to be assessed and mitigated to overcome the pitfalls associated with SLAs. The current approaches to assess and manage risk in Grid computing are a major step towards the provisioning of Quality of Service (QoS) to the end-user. However these approaches are based on node or machine level Assessment. As a node may contain CPU(s), storage devices, connections for communication and software resource, consequently a node failure may actually be a failure of any of these components. Our approach towards Risk Assessment is aimed at a granularity level of individual components as compared to machine level in previous efforts. Moreover the past efforts of risk assessment at node level fail short of considering the nature of the Grid Failure data that is repairable or replaceable. Thus to overcome the short comings of the previous efforts, we propose Risk Assessment Model(s) at component level considering the resources repairable and replaceable. A three step methodology was utilized in this work consisting of Data analysis, Risk modelling and Experimentation. The Probabilistic model, proposed at the component level based on senes and parallel model(s) considers Grid Resources as replaceable is based on. Similarly an R-out-N model is proposed for the aggregation of risk values for a number of nodes and provides more detailed results but with some pitfalls, against the parallel model. On the other hand, a risk assessment model at the component level based on NonHomogeneous Poisson Process (NHPP) model is proposed considering Grid Resources as Repairable. Grid failure data is used for the experimentation at the component level. The proposed NHPP based Grid risk model selection is validated by using a goodness of fit test along with graphical approaches. Similarly, considering Grid resources as repairable, a Semi Markov based Risk assessment model is also proposed. The Semi Markov based risk assessment model provides slight advantages over the NHPP based model such as taking repairability extrinsically and assessing the probabilities of repair for an individual components within a node. The three proposed risk models are evaluated by conducting the experimentation and are further evaluated by conducting a comparative evaluation and performance analysis of the proposed models. Detailed risk assessment information at the component level is provided by the experimental results of the proposed risk assessment models which can help enable Grid Resource provider to manage and use the Grid resources efficiently. These results can in turn help enhance the commercial viability and QoS provisioning to End Users by utilization of risk aware scheduling by Grid Resource Provider.
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Li, Bin. "Risk informed service level agreement for cloud brokerage." Thesis, University of Surrey, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.580347.

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The use of distributed computing systems, including Grids and Compute Utilities, and now Clouds, becomes a consideration for businesses hoping to manage start-up costs and times, as well as reduce the physical and environmental footprint of infrastructures. Instead of purchasing and maintaining hardware and software, organisations and individuals can take advantage of pay-per- use (utility) models that relate directly to their requirements of infrastructures, platforms and software. However, such metered services are not widely adopted yet due to the lack of assurance of Quality of Service (QoS). It is suggested that such systems will only attain greater acceptance by a larger audience of commercial consumers if binding Service Level Agreements (SLAs) are provided that encompass service descriptions, costs of provision and, importantly, assurances on availability, performance, and liability. Prediction, quantification of risk, and consideration of liability in case of underperformance are considered essential for the future provision of Computer (Cloud) Economics - in particular, for the provision of SLAs through resource brokers, and generally to be more comparable to financial markets. The principal focus of this thesis is on building brokerage and related services for supporting growth of Cloud and contributing to future computational economics. A brokerage should provide negotiation mechanisms between consumers and providers, and perhaps manage available computer resources, to realise the goals of both parties. SLAs are key to this, where each SLA details price, risk, performance and QoS parameters, amongst others. This thesis presents a novel approach that supports the creation and management of Service Level Agreements, aimed towards improved uptake of cornmoditised computational infrastructures, platforms and software services. By analysing issues within current SLAs, it summarises necessary characteristics to be addressed in Cloud SLAs. Inspired by financial portfolio analysis and in particular by credit derivatives, this work demonstrates how the proposed Cloud Collateralised SLA Obligations (CSO), analogous to synthetic collateralised debt obligations (CDO), can be used to mitigate risk of failure or underperformance through diversification of compute resource portfolios. The CSO prices risk integrates into service insurance, and builds in penalties, and in contrast to well-known Cloud price models, relates variable performance to variable price. This performance-price relationship would also be necessary for the appropriate use of other financial models. Through Value-at-Risk (VaR) style analysis, the probability of failure (risk of underperformance) can be related to a confidence level for each SLA offer - the confidence of meeting the SLA. The thesis further identifies how performance tranches support an autonomic aspect in attempting to ensure satisfaction of higher-value SLAs as a trade off against higher-risk, lower-value SLAs. The approach can readily integrate with any SLA framework that supports real- time dynamic characteristics. Outcomes are broadly relevant to Cloud Computing, and more specifically to Infrastructure as a Service Clouds.
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Ritchie, Ross Andrew. "Managing risk in operations : a multi-level study." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/66746/.

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This research explores the management of risk in operations. It explores the different structures influencing the treatment of risk and the influence on managerial risk taking behaviours. There is limited understanding within the extant literature of the different treatment strategies for risk in operations and what influences selection of treatment strategy. This research employs an abductive approach iterating between the theoretical and empirical. There are four levels of analysis: the firm, the function, the group and the individual. The research was conducted in two European Energy companies. The research found that there is a complex interaction between organizational structures and individual perceptions in managing risk. Corporate risk structures have limited influence on the selection of risk treatments. The specification of business function (service or asset focus) informs the process of risk management and use of systems. Use of systems and valuation techniques underpin the risk prioritization process and specifically the assessment of risk. There is an order of decision influences that reflects the Levers of Control (Simons, 1995; 1998): Risk treatments are prohibited by boundary systems. Secondly, individual’s beliefs influence positive selection of treatment, and third where a treatment has not been selected through beliefs, the performance system is consulted. The performance system is most likely to influence selection of risk acceptance or risk mitigation. It is found that classification of risk has more than a semantic influence on perception and risk treatment; it can prohibit uses of certain treatments and inform priority. Understanding of the decision process matures and increases in complexity in senior managers. It is found that the performance system has influences on manager’s beliefs and in the long term, reflecting vision and mission the implementation of boundary conditions.
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Holloman, Sherrica S. "Validating the Use of pPerformance Risk Indices for System-Level Risk and Maturity Assessments." Thesis, The George Washington University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10086217.

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With pressure on the U.S. Defense Acquisition System (DAS) to reduce cost overruns and schedule delays, system engineers’ performance is only as good as their tools. Recent literature details a need for 1) objective, analytical risk quantification methodologies over traditional subjective qualitative methods – such as, expert judgment, and 2) mathematically rigorous system-level maturity assessments. The Mahafza, Componation, and Tippett (2005) Technology Performance Risk Index (TPRI) ties the assessment of technical performance to the quantification of risk of unmet performance; however, it is structured for component- level data as input. This study’s aim is to establish a modified TPRI with systems-level data as model input, and then validate the modified index with actual system-level data from the Department of Defense’s (DoD) Major Defense Acquisition Programs (MDAPs). This work’s contribution is the establishment and validation of the System-level Performance Risk Index (SPRI). With the introduction of the SPRI, system-level metrics are better aligned, allowing for better assessment, tradeoff and balance of time, performance and cost constraints. This will allow system engineers and program managers to ultimately make better-informed system-level technical decisions throughout the development phase.

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Books on the topic "Level of risk"

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R, Munns Wayne, and Sorensen Mary T, eds. Population-level ecological risk assessment. Pensacola, Fla: SETAC, 2008.

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Wojakowski, Rafal. Hedging level risk for a firm. Lancaster: Management School, Lancaster University, 1998.

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Wojakowski, Rafal. Hedging level risk for a firm in incomplete markets. Lancaster: Management School, Lancaster University, 1998.

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Carlson, J. Lon. Estimating the benefits of reductions in low-level environmental risks. [Urbana, Ill.]: Institute for Environmental Studies, 1985.

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Ayyub, Bilal M. Sea level rise and coastal infrastructure: Prediction, risks, and solutions. Reston, Va: American Society of Civil Engineers, 2012.

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McPartland, James M. Increasing achievement of at-risk students at each grade level. Washington, D.C: Information Services, Office of Educational Research and Improvement, U.S. Dept. of Education, 1990.

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Smith, C. L. Development and use of a train-level probabilistic risk assessment. Washington, DC: Division of Safety Issue Resolution, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1993.

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McPartland, James M. Increasing achievement of at-risk students at each grade level. Washington, D.C: Information Services, Office of Educational Research and Improvement, U.S. Dept. of Education, 1990.

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McPartland, James M. Increasing achievement of at-risk students at each grade level. Washington, D.C: Information Services, Office of Educational Research and Improvement, U.S. Dept. of Education, 1990.

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E, Slavin Robert, ed. Increasing achievement of at-risk students at each grade level. [Washington, D.C.]: Information Services, Office of Educational Research and Improvement, U.S. Dept. of Education, 1990.

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Book chapters on the topic "Level of risk"

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Cakici, Nusret, and Kudret Topyan. "Price Level." In Risk and Return in Asian Emerging Markets, 29–41. New York: Palgrave Macmillan US, 2014. http://dx.doi.org/10.1057/9781137359070_3.

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Gheorghe, Adrian V., and Ralf Mock. "“Fuzzy Risk Analysis” on Plant and Regional Level." In Risk Engineering, 139–215. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4784-2_6.

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Lund, Mass Soldal, Bjørnar Solhaug, and Ketil Stølen. "The High-level CORAS Language." In Model-Driven Risk Analysis, 245–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-12323-8_14.

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Ayyub, Bilal M., Josue Ramirez, Kristen Markham, and Paul Broqueres. "Quantifying Regional Risk Profiles Attributable to Sea Level Rise." In Sea Level Rise and Coastal Infrastructure, 1–19. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412008.ch01.

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Amaral, D., R. Hetes, F. Lynn, and D. Austin. "Community-Level Use of Risk Analysis: A Case Study." In Risk Analysis, 107–16. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-0730-1_13.

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Boulanger, Jean-Louis. "Risk and Safety Integrity Level." In CENELEC 50128 and IEC 62279 Standards, 31–66. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119005056.ch3.

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Refsdal, Atle, Bjørnar Solhaug, and Ketil Stølen. "Which Measure of Risk Level to Use?" In Cyber-Risk Management, 107–10. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23570-7_11.

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Björndal, Åsa S. "Risk Assessment Procedures." In Working in Biosafety Level 3 and 4 Laboratories, 99–106. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2013. http://dx.doi.org/10.1002/9783527675357.ch11.

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Pohlmann, Thomas, and Jürgend Sündermann. "Sea Level Rise Problems." In Engineering Risk in Natural Resources Management, 219–33. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-015-8271-1_13.

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Atta-Ur-Rahman and Rajib Shaw. "DRR at the Local Government Level in Pakistan." In Disaster Risk Reduction, 259–79. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-55369-4_14.

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Conference papers on the topic "Level of risk"

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Augutis, J., S. Pečiulytė, R. Krikštolaitis, I. Žutautaitė, and E. Ušpuras. "Dynamic model for energy security level assessment." In RISK ANALYSIS 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/risk120031.

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Dong, Li, and Mu Zhang. "Study on Measurement Level of Financial Agglomeration Level of Prefecture Level Cities in Guizhou Based on Grey Relational Projection Method." In Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/wrarm-17.2017.63.

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Žutautaitė-Šeputienė, I., J. Augutis, and E. Ušpuras. "Assessment of the system degradation level using the Bayesian approach." In RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100051.

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Crespo, Esteban, and Jorge Bermeo. "Testing the Information Risk Level with ECU@Risk." In 2018 International Conference on Information Systems and Computer Science (INCISCOS). IEEE, 2018. http://dx.doi.org/10.1109/inciscos.2018.00056.

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Najgebauer, A., D. Pierzchała, and R. Kasprzyk. "A distributed multi-level system for the monitoring and simulation of epidemics." In RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100481.

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Guyot, G., and F. R. Carrié. "CONFINE: an airtightness level calculation tool for people’s protection in case of." In RISK ANALYSIS 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/risk120281.

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Plesa, Iliodor Tiberiu. "Public Auditors' Professionalization at International Level." In International Conference Risk in Contemporary Economy. Dunarea de Jos University of Galati, Romania Faculty of Economics and Business Administration, 2019. http://dx.doi.org/10.35219/rce2067053244.

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Aschwanden, Gideon, Georgia Warren-Myers, and Franz Fuerst. "Estimating the risk of sea level rise to property." In 25th Annual European Real Estate Society Conference. European Real Estate Society, 2018. http://dx.doi.org/10.15396/eres2018_192.

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Richardson, Bob, David P. Simpson, and Andy Haub. "Managing Flooding Risk in Response to Sea Level Rise." In Proceedings of Ports '13: 13th Triennial International Conference. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784413067.025.

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Loveček, T., and J. Ristvej. "Quantitative assessment parameters of the protection level of national strategic sites in the EU." In RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100071.

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Reports on the topic "Level of risk"

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Gándelman, Néstor, and Rubén Hernández-Murillo. Risk Aversion at the Country Level. Federal Reserve Bank of St. Louis, 2014. http://dx.doi.org/10.20955/wp.2014.005.

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Hassan, Tarek, Stephan Hollander, Laurence van Lent, and Ahmed Tahoun. Firm-Level Political Risk: Measurement and Effects. Cambridge, MA: National Bureau of Economic Research, November 2017. http://dx.doi.org/10.3386/w24029.

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Zentner, M., J. Atkinson, P. Carlson, G. Coles, E. Leitz, S. Lindberg, T. Powers, and J. Kelley. N reactor level 1 probabilistic risk assessment. Office of Scientific and Technical Information (OSTI), May 1990. http://dx.doi.org/10.2172/6954643.

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Mirenda, Richard J. Screening-Level Ecological Risk Assessment Methods, Revision 3. Office of Scientific and Technical Information (OSTI), August 2012. http://dx.doi.org/10.2172/1352432.

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Park, Sungchul, Anirban Basu, Norma Coe, and Fahad Khalil. Service-level Selection: Strategic Risk Selection in Medicare Advantage in Response to Risk Adjustment. Cambridge, MA: National Bureau of Economic Research, November 2017. http://dx.doi.org/10.3386/w24038.

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Backus, George A., Thomas Stephen Lowry, Shannon M. Jones, La Tonya Nicole Walker, Barry L. Roberts, and Leonard A. Malczynski. County-Level Climate Uncertainty for Risk Assessments: Volume 1. Office of Scientific and Technical Information (OSTI), June 2017. http://dx.doi.org/10.2172/1365544.

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Tanner, James C. Operational Risk Management at the Operational Level of War. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada328149.

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Backus, George, Thomas Lowry, Shannon Jone, La Walker, Barry Roberts, and Leonard Malczynski. Country-Level Climate Uncertainty for Risk Assessments: Volume 1. Office of Scientific and Technical Information (OSTI), May 2019. http://dx.doi.org/10.2172/1762376.

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ARMY SAFETY CENTER FORT RUCKER AL. Risk Management Training Support Package for Leaders (Company/Platoon Level). Fort Belvoir, VA: Defense Technical Information Center, January 1997. http://dx.doi.org/10.21236/ada382234.

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Quinn, G. J., O. F. II Brown, and R. S. Garcia. Commercial low-level radioactive waste transportation liability and radiological risk. Office of Scientific and Technical Information (OSTI), August 1992. http://dx.doi.org/10.2172/183851.

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