Bibliografías temáticas / Risk assessment - Mathematical models

Literatura académica sobre el tema "Risk assessment - Mathematical models"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 26 de enero de 2023

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Artículos de revistas sobre el tema "Risk assessment - Mathematical models"

Park, Colin N. "Mathematical models in quantitative assessment of carcinogenic risk". Regulatory Toxicology and Pharmacology 9, n.º 3 (junio de 1989): 236–43. http://dx.doi.org/10.1016/0273-2300(89)90062-7.

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De Wrachien, D. y S. Mambretti. "Mathematical models for flood hazard assessment". International Journal of Safety and Security Engineering 1, n.º 4 (31 de diciembre de 2011): 353–62. http://dx.doi.org/10.2495/safe-v1-n4-353-362.

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Kodell, Ralph L. "The use of mathematical models in carcinogenesis risk assessment". Mathematical and Computer Modelling 11 (1988): 146–51. http://dx.doi.org/10.1016/0895-7177(88)90470-0.

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Сычев, Михаил, Mikhail Sychev, Владимир Минаев, Vladimir Minaev, Александр Фаддеев y Aleksandr Faddeev. "Seismic risk assessment in tourist-recreational areas: mathematical models". Servis Plus 9, n.º 2 (15 de junio de 2015): 25–34. http://dx.doi.org/10.12737/11309.

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The article highlights the problem of evaluation of seismic risks in the tourism and recreational areas. To this end, the grounded and practically being tested mathematical model for evaluating the seismic stability of tourist-recreational area on the example of the Black Sea, the Caspian and the Mediterranean region. This model combines the influences of disturbances associated with the anomalous gravity field (vertical component), and takes into account modern crustal movements (horizontal component), calculated according to the space geodesy. The physical model of the geological environment in the form of a closed homogeneous isotropic elastic space in the form of "plates" with as averaging the values of the density, shear modulus and Young´s modulus is suggested. The geological environment is considered in the framework of Newtonian rheology, that is without taking into account the seismic deformation of energy dissipation. Experimental calculations show good agreement with the results of modeling really occurred in the historically-sky aspect of the catastrophic earthquakes in the study area. Suggested an additional testing model by comparing the orientation of the vectors of the horizontal displacements at the surface, resultingfrom mathematical modeling, containing information on contemporary movements of the earth´s crust according to the space geodesy. The analysis shows that the greatest seismic risk are generally a characteristic of those places of the study area, where the vectors of horizontal displacements in opposite directions, characterized by a helical orientation. The prospects of using the model are describe, if it is considered according to Maxwell rheology of the medium, which allows to take into account the effect of the relaxation of stresses and strains in the rate of accumulation in the subsurface. This approach may allow a quantitative estimation of the seismic deformation energy dissipation, which is very significant in terms of the forecast estimates ofseismicity in the time aspect.

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Euhus, David M. "Understanding Mathematical Models for Breast Cancer Risk Assessment and Counseling". Breast Journal 7, n.º 4 (julio de 2001): 224–32. http://dx.doi.org/10.1046/j.1524-4741.2001.20012.x.

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Seigneur, Christian, Akula Venkatram, Don Galya, Paul Anderson, David Liu, Donna Foliart, Rudolph von Burg, Yoram Cohen, Thomas Permutt y Leonard Levin. "Review of mathematical models for health risk assessment: I. Overview". Environmental Software 7, n.º 1 (enero de 1992): 3–7. http://dx.doi.org/10.1016/0266-9838(92)90018-y.

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Seigneur, Christian. "Review of mathematical models for health risk assessment: VI. population exposure". Environmental Software 9, n.º 2 (enero de 1994): 133–45. http://dx.doi.org/10.1016/0266-9838(94)90005-1.

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Liu, David. "Review of mathematical models for health risk assessment: VII. chemical dose". Environmental Software 9, n.º 3 (enero de 1994): 153–60. http://dx.doi.org/10.1016/0266-9838(94)90027-2.

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Zirka, Andrii, Mariia Zirka y Natalia Kadet. "FEATURES OF RISK ASSESSMENT IN THE CREATION OF UAV FOR VARIOUS PURPOSES". Science-based technologies 51, n.º 3 (28 de octubre de 2021): 193–204. http://dx.doi.org/10.18372/2310-5461.51.15994.

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One of the perspective directions of the development to modern aviation is connected with designing and producing unmanned aerial vehicles (UAV) of various functionalities for applying in military and civilian spheres. The syntheses of UAV control systems, regardless of their type and purpose presumes the creation of adequate mathematical models, first of all adequate aerodynamic mathematical models. In the paper results that forms and justify the aerodynamic mathematical model and as well as the results of building a general mathematical model of the longitudinal movement of the perspective UAV are presented. In the article on the basis of the analysis of the reasons of involvement in performance of research and development works the basic risks of the indirect factors and possible negative scenarios of performance of projects of creation of samples of aviation equipment are defined. Based on the results of the analysis of risk-forming factors, the risk indicators of the projects of creation (modernization) of aircraft models are substantiated. A methodical approach to the criterion assessment of risk indicators at the stages of research and development work on the development (modernization) of aircraft is proposed

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Minaev, V. A., N. G. Topolsky, A. O. Faddeev, R. O. Stepanov y D. S. Grachev. "Risk assessment models with functionally different influences on natural and technical systems". Technology of technosphere safety 89 (2020): 8–19. http://dx.doi.org/10.25257/tts.2020.3.89.8-19.

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Introduction. The complex combination of natural and technogenic factors that lead to dangerous threats to the health and life of the population, as well as to material values, creates a need to develop special mathematical models for risk assessment in the relevant territories. Herewith it is important to take into account the significant differences between these factors. The new areas of research are models that describe natural and technogenic risks using differential equations that reflect different types of functions. The article presents the development of this research area. Goals and objectives. The goal of the article is to create a model for risk assessment in natural and technical systems (PTS), based on taking into account the influences of different natural and technogenic factors on them. Objectives include justification, construction and practical implementation of the mathematical model of risk assessment in the form of differential equations system. Methods include interpretation of the considered influences on PTS in terms of risks and assessment of the dynamic interaction of natural and technogenic factors in the form of inhomogeneous differential equations. Results and discussion. Solutions for models of assessing complex natural and technogenic risks in relation to two cases that differ in NTS are found: functionally different external natural and technogenic influences on PTS, which are understood as their type, in which the effects of both natural and technogenic factors are described by different mathematical functions. Conclusions. The first model considers parabolic (reflecting threats whose intensity gradually decreases with distance from the epicenter) and linear types of influences (reflecting sudden threats). The second model considers parabolic and hyperbolic (reflecting threats, the intensity of which decreases sharply over time) types of influences. It is concluded that it is necessary to create a special computer album of complex influences on the PTS in order to prevent "replay" of various situations and develop the most effective response to emerging dangers from the EMERCOM units and other structures. Key words: model, assessment, natural and technogenic risks, functionally different influences, counteraction, EMERCOM units.

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Tesis sobre el tema "Risk assessment - Mathematical models"

Yeo, Keng Leong Actuarial Studies Australian School of Business UNSW. "Claim dependence in credibility models". Awarded by:University of New South Wales. School of Actuarial Studies, 2006. http://handle.unsw.edu.au/1959.4/25971.

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Existing credibility models have mostly allowed for one source of claim dependence only, that across time for an individual insured risk or a group of homogeneous insured risks. Numerous circumstances demonstrate that this may be inadequate and insufficient. In this dissertation, we developed a two-level common effects model, based loosely on the Bayesian model, which allows for two possible sources of dependence, that across time for the same individual risk and that between risks. For the case of Normal common effects, we are able to derive explicit formulas for the credibility premium. This takes the intuitive form of a weighted average between the individual risk's claims experience, the group's claims experience and the prior mean. We also consider the use of copulas, a tool widely used in other areas of work involving dependence, in constructing credibility premiums. Specifically, we utilise copulas to model the dependence across time for an individual risk or group of homogeneous risks. We develop the construction with several well-known families of copulas and are able to derive explicit formulas for their respective conditional expectations. Whilst some recent work has been done on constructing credibility models with copulas, explicit formulas for the conditional expectations have rarely been made available. Finally, we calibrate these copula credibility models using a real data set. This data set relates to the claims experience of workers' compensation insurance by occupation over a 7-year period for a particular state in the United States. Our results show that for each occupation, claims dependence across time is indeed present. Amongst the copulas considered in our empirical analysis, the Cook-Johnson copula model is found to be the best fit for the data set used. The calibrated copula models are then used for prediction of the next period's claims. We found that the Cook-Johnson copula model gives superior predictions. Furthermore, this calibration exercise allowed us to uncover the importance of examining the nature of the data and comparing it with the characteristics of the copulas we are calibrating to.

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Wang, Na. "Estimation of Extra Risk and Benchmark Dose in Dose Response Models". Fogler Library, University of Maine, 2008. http://www.library.umaine.edu/theses/pdf/WangN2008.pdf.

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Zhu, Dongming 1963. "Asymmetric heavy-tailed distributions : theory and applications to finance and risk management". Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=102854.

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This thesis focuses on construction, properties and estimation of asymmetric heavy-tailed distributions, as well as on their applications to financial modeling and risk measurement. First of all, we suggest a general procedure to construct a fully asymmetric distribution based on a symmetrically parametric distribution, and establish some natural relationships between the symmetric and asymmetric distributions. Then, three new classes of asymmetric distributions are proposed by using the procedure: the Asymmetric Exponential Power Distributions (AEPD), the Asymmetric Student-t Distributions (ASTD) and the Asymmetric Generalized t Distribution (AGTD). For the first two distributions, we give an interpretation of their parameters and explore basic properties of them, including moments, expected shortfall, characterization by the maximum entropy property, and the stochastic representation. Although neither distribution satisfies the regularity conditions under which the ML estimators have the usual asymptotics, due to a non-differentiable likelihood function, we nonetheless establish asymptotics for the full MLE of the parameters. A closed-form expression for the Fisher information matrix is derived, and Monte Carlo studies are provided. We also illustrate the usefulness of the GARCH-type models with the AEPD and ASTD innovations in the context of predicting downside market risk of financial assets and demonstrate their superiority over skew-normal and skew-Student's t GARCH models. Finally, two new classes of generalized extreme value distributions, which include Jenkinson's GEV (Generalized Extreme Value) distribution (Jenkinson, 1955) as special cases, are proposed by using the maximum entropy principle, and their properties are investigated in detail.

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Owen, Michelle L. "Exposure model : detailed profiling and quantification of the exposure of personnel to geotechnical hazards in underground mines". University of Western Australia. School of Civil and Resource Engineering, 2004. http://theses.library.uwa.edu.au/adt-WU2005.0031.

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[Truncated abstract] This thesis presents an operationally applicable and reliable model for quantification of the exposure of underground mining personnel to geotechnical hazards. The model is shown to have the flexibility to apply to very different operational environments, within the context of mechanised metalliferous mines. It provides an essential component for carrying out quantitative geotechnical risk analyses of underground mines. Increasingly prevalent within the Australian mining industry are moves towards a riskbased philosophy instead of prescriptive design procedures. A barrier to this has been the lag in availability of resources (personnel and technical) required for the intensive effort of applying probabilistic methods to geotechnical engineering at mines ... One of the missing components for quantitative risk analysis in mines has been an accurate model of personnel exposure to geotechnical hazards, from which meaningful estimates can be made of the probabilities of serious or fatal injury given a rockfall. Exposure profiling for geotechnical risk analysis at minesites has traditionally involved the simple classification of travelways and entry areas by their occupancy rate, not taking into account traffic and work characteristics which may significantly influence the risks. Therefore, it was the focus of this thesis to address that deficiency and progress the ability to perform semi-quantitative and quantitative risk analyses in mines.

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Kusnetsov, Michael. "Clearing models for systemic risk assessment in interbank networks". Thesis, London School of Economics and Political Science (University of London), 2018. http://etheses.lse.ac.uk/3804/.

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In this thesis I consider the problem of clearing models used for systemic risk assessment in interbank networks. I investigate two extensions of the classical Eisenberg & Noe (2001) model. The first extension permits the analysis of networks with interbank liabilities of several maturities. I describe a clearing mechanism that relies on a fixed-point formulation of the vector of each bank’s liquid assets at each maturity date for a given set of defaulted banks. This formulation is consistent with the main stylised principles of insolvency law, permits the construction of simple dynamic models and furthermore demonstrates that systemic risk can be underestimated by single maturity models. In the context of multiple maturities, specifying a set of defaulted banks is challenging. Two approaches to overcome this challenge are proposed. The algorithmic approach leads to a well-defined liquid asset vector for all financial networks with multiple maturities. The simpler functional approach leads to the definition of the liquid asset vector that need not exist but under a regularity condition does exist and coincides with the algorithmic approach. The second extension concerns the non-uniqueness of clearing solutions. When more than one solution exists, the standard approach is to select the greatest solution. I argue that there are circumstances when finding the least solution is desirable. An algorithm for constructing the least solution is proposed. Moreover, the solution is obtainable under an arbitrary lower bound constraint. In models incorporating default costs, clearing functions can be discontinuous, which renders the problem of constructing the least clearing solution non-trivial. I describe the properties of the construction algorithm by means of transfinite sequences and show that it always terminates. Unlike the construction of the greatest solution, the number of steps taken by the algorithm need not be bounded by the size of the network.

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Shen, Yunxiang. "Risk analysis and its application in mining project evaluation". Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=64009.

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Galane, Lesiba Charles. "The risk parity approach to asset allocation". Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/95974.

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Thesis (MSc)--Stellenbosch University, 2014.
ENGLISH ABSTRACT: We consider the problem of portfolio's asset allocation characterised by risk and return. Prior to the 2007-2008 financial crisis, this important problem was tackled using mainly the Markowitz mean-variance framework. However, throughout the past decade of challenging markets, particularly for equities, this framework has exhibited multiple drawbacks. Today many investors approach this problem with a 'safety first' rule that puts risk management at the heart of decision-making. Risk-based strategies have gained a lot of popularity since the recent financial crisis. One of the 'trendiest' of the modern risk-based strategies is the Risk Parity model, which puts diversification in terms of risk, but not in terms of dollar values, at the core of portfolio risk management. Inspired by the works of Maillard et al. (2010), Bruder and Roncalli (2012), and Roncalli and Weisang (2012), we examine the reliability and relationship between the traditional mean-variance framework and risk parity. We emphasise, through multiple examples, the non-diversification of the traditional mean-variance framework. The central focus of this thesis is on examining the main Risk-Parity strategies, i.e. the Inverse Volatility, Equal Risk Contribution and the Risk Budgeting strategies. Lastly, we turn our attention to the problem of maximizing the absolute expected value of the logarithmic portfolio wealth (sometimes called the drift term) introduced by Oderda (2013). The drift term of the portfolio is given by the sum of the expected price logarithmic growth rate, the expected cash flow, and half of its variance. The solution to this problem is a linear combination of three famous risk-based strategies and the high cash flow return portfolio.
AFRIKAANSE OPSOMMING: Ons kyk na die probleem van batetoewysing in portefeuljes wat gekenmerk word deur risiko en wins. Voor die 2007-2008 finansiele krisis, was hierdie belangrike probleem deur die Markowitz gemiddelde-variansie raamwerk aangepak. Gedurende die afgelope dekade van uitdagende markte, veral vir aandele, het hierdie raamwerk verskeie nadele getoon. Vandag, benader baie beleggers hierdie probleem met 'n 'veiligheid eerste' reël wat risikobestuur in die hart van besluitneming plaas. Risiko-gebaseerde strategieë het baie gewild geword sedert die onlangse finansiële krisis. Een van die gewildste van die moderne risiko-gebaseerde strategieë is die Risiko- Gelykheid model wat diversifikasie in die hart van portefeulje risiko bestuur plaas. Geïnspireer deur die werke van Maillard et al. (2010), Bruder and Roncalli (2012), en Roncalli and Weisang (2012), ondersoek ons die betroubaarheid en verhouding tussen die tradisionele gemiddelde-variansie raamwerk en Risiko- Gelykheid. Ons beklemtoon, deur middel van verskeie voorbeelde, die niediversifikasie van die tradisionele gemiddelde-variansie raamwerk. Die sentrale fokus van hierdie tesis is op die behandeling van Risiko-Gelykheid strategieë, naamlik, die Omgekeerde Volatiliteit, Gelyke Risiko-Bydrae en Risiko Begroting strategieë. Ten slotte, fokus ons aandag op die probleem van maksimering van absolute verwagte waarde van die logaritmiese portefeulje welvaart (soms genoem die drif term) bekendgestel deur Oderda (2013). Die drif term van die portefeulje word gegee deur die som van die verwagte prys logaritmiese groeikoers, die verwagte kontantvloei, en die helfte van die variansie. Die oplossing vir hierdie probleem is 'n lineêre kombinasie van drie bekende risiko-gebaseerde strategieë en die hoë kontantvloei wins portefeulje.

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Blatt, Sharon L. "An in-depth look at the information ratio". Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0824104-155216/.

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Baade, Ingrid Annette. "Survival analysis diagnostics". Thesis, Queensland University of Technology, 1997.

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Ghosh, Gregory. "Lifesafety Analysis in the Building Firesafety Method". Digital WPI, 2004. https://digitalcommons.wpi.edu/etd-theses/1106.

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"The purpose of this thesis is to demonstrate and enhance the technical basis of the procedure for evaluating lifesafety within the Building Firesafety Engineering Method (BFSEM). A framework for the analysis has been documented, but not extensively tested in a building situation. Hence, procedures to obtain the necessary input data and to evaluate that data needed to be developed. In addition, the general framework had to be tested rigorously enough to identify weaknesses. "

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Libros sobre el tema "Risk assessment - Mathematical models"

Schmidli, Hanspeter. Characteristics of ruin probabilities in classical risk models with and without investment, Cox risk models and perturbed risk models. Århus, Denmark: University of Aarhus, Dept. of Theoretical Statistics, Institute of Mathematical Sciences, 2000.

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Quantitative operational risk models. Boca Raton: Taylor & Francis, 2012.

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Mathematical methods of environmental risk modeling. Boston, USA: Kluwer Academic Publishers, 2001.

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

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Rachev, Svetlozar T. Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization. New York: John Wiley & Sons, Ltd., 2008.

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Gorelik, V. A. Modeli ot︠s︡enki kollektivnogo i sistemnogo riska. Moskva: Vychislitelʹnyĭ t︠s︡entr im. A.A. Dorodnit︠s︡yna Rossiĭskoĭ akademii nauk, 2011.

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Zhivetin, Vladimir. Banking system risk management: Mathematical modeling. Moscow: Institute for Risk Problems, 2012.

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Zhivetin, Vladimir. Vvedenie v teorii︠u︡ riska (dinamicheskikh sistem). Moskva: In-t problem riska, 2008.

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Jemel̦janovs, A. Objekta riska novērtēšana. Rīga: Rīgas Tehniskā universitāte, 2007.

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Zhivetin, Vladimir. Vvedenie v sistemnui︠u︡ riskologii︠u︡: Strukturno-funkt︠s︡ionalʹnai︠a︡ teorii︠a︡ sistem (v chetyrekh tomakh). Moskva: Institut problem riska, 2012.

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Capítulos de libros sobre el tema "Risk assessment - Mathematical models"

Brannigan, Vincent y Carol Smidts. "Risk Based Regulation Using Mathematical Risk Models". En Probabilistic Safety Assessment and Management ’96, 721–25. London: Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-3409-1_115.

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Hill, M. D. "Use of Mathematical Models in Risk Assessment and Risk Management". En Radionuclides in the Food Chain, 335–61. London: Springer London, 1988. http://dx.doi.org/10.1007/978-1-4471-1610-3_24.

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Wickramaratne, G. A. de S. "Application of Mathematical Dose-Response Models vs. Physiological Models in Risk Assessment in Reproductive Toxicology". En Risk Assessment of Prenatally-Induced Adverse Health Effects, 279–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77753-0_21.

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Seo, Fumiko. "Multiple Risk Assessment with Random Utility Models in Probabilistic Group Decision Making". En Lecture Notes in Economics and Mathematical Systems, 161–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57311-8_13.

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Navrátil, Josef, Veronika Sadovská y Irena Švarcová. "Health Risk Assessment of Combustion Products from Simulated Residential Fire". En Mathematical-Statistical Models and Qualitative Theories for Economic and Social Sciences, 15–23. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54819-7_2.

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Axelsen, Jørgen Aagaard. "A physiologically driven mathematical simulation model as a tool for extension of results from laboratory tests to ecosystem effects". En Ecological Risk Assessment of Contaminants in Soil, 233–50. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6361-7_11.

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Biswas, Swarnava, Anoop Kumar Prasad, Debajit Sen, Dinesh Bhatia y Moumita Mukherjee. "Comparative Study on Predictive Mathematical Models for Risk Assessment of nCOVID-19 Pandemic in India". En Lecture Notes in Bioengineering, 393–404. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6915-3_39.

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Caminade, Cyril. "How to model the impact of climate change on vector-borne diseases?" En Climate, ticks and disease, 26–31. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789249637.0004.

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Abstract This expert opinion provides an overview of mathematical models that have been used to assess the impact of climate change on ticks and tick-borne diseases, ways forward in terms of improving models for the recent context and broad guidelines for conducting future climate change risk assessment.

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Rausand, Marvin. "Accident Models". En Risk Assessment, 137–76. Hoboken, New Jersey: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118281116.ch6.

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Cordell, Andrea y Ian Thompson. "Risk Assessment". En The Procurement Models Handbook, 27–29. Third edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019. | Earlier editions published as: Purchasing models handbook: a guide to the most popular business models used in purchasing / Andrea Reynolds and Ian Thompson.: Routledge, 2019. http://dx.doi.org/10.4324/9781351239509-9.

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Actas de conferencias sobre el tema "Risk assessment - Mathematical models"

Razzaghi, Mehdi. "Teaching Statistical Models for Risk Assessment". En Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. International Association for Statistical Education, 2022. http://dx.doi.org/10.52041/iase.icots11.t6c1.

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Risk analysis is used across many disciplines. Biological scientists use risk analysis to determine the chance of an adverse effect occurring. Engineers use it to assess the risk of structural failures. People in business and industry perform risk analysis to estimate profit and loss in decision making. Although there are many definitions of risk, the most accurate definition is based on probabilistic principles. To estimate risk quantitatively, a statistical model is used to describe the process and the associated risk is thereupon calculated. The underlying model and derivation of risk can lead to some non-trivial mathematical expressions. Here, we discuss challenges in teaching probabilistic risk assessment to researchers who are non-statisticians and non-mathematicians. Specific reference will be made to toxicological risk assessment.

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Zappalà, G., S. Bonamano, A. Madonia, G. Caruso y M. Marcelli. "Microbiological risk assessment in a coastal marine environment through the use of mathematical models". En WATER POLLUTION 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/wp120011.

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Dinis, Jairson, Ana I. Pereira y Elza M. Fonseca. "Mathematical model for the assessment of fracture risk associated with osteoporosis". En NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756262.

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Devgun, Akash. "A rule based mathematical model to improve risk assessment on cloud server". En 2014 International Conference on Electronics,Communication and Computational Engineering (ICECCE). IEEE, 2014. http://dx.doi.org/10.1109/icecce.2014.7086617.

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Schnabel, Freya, Jennifer Chun, Shira Schwartz, Amber Guth, Deborah Axelrod, Richard Shapiro, Karen Hiotis y Julia Smith. "Abstract A29: Mathematical models are not the be-all and end-all for breast cancer risk assessment". En Abstracts: AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; November 16-19, 2016; Orlando, FL. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7755.carisk16-a29.

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Grantham Lough, Katie, Robert Stone y Irem Y. Tumer. "Function Based Risk Assessment: Mapping Function to Likelihood". En ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85053.

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Risk assessments are necessary to anticipate and prevent accidents from occurring or repeating. This paper focuses specifically on the relationship between function and risk by presenting a mathematical mapping from product function to risk likelihood. This type of mapping will aid designers by removing the subjectivity of the likelihood value from a risk element, provide three key risk element properties (design parameter, failure mode, and likelihood) for numerous risk elements with one simple mathematical calculation, and provide a means for inexperienced designers to effectively address risk in the conceptual design phase. In addition, the level of detail a functional model should be written in to produce adequate likelihood risk assessments is examined. Three case studies are used to validate the proposed mapping: A spacecraft orientation subsystem, a subsystem to guide science instruments on an extraterrestrial, and subsystems from a Bell 206 rotorcraft. The work described in this paper continues is part of ongoing research relating function to failure.

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Matuzas, Vaidas, Juozas Augutis y Eugenijus Uspuras. "Degradation Assessment in Complex Systems". En 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/icone14-89190.

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Components condition could change dynamically because of various dependencies existing in complex systems since usually not only physical connections exist in the system. Various processes (as degradation or wear out, reliability decrease, failures) affecting one component have influence to condition of other components as well. Current paper is devoted to the analysis and development of mathematical models to the reliability assessment of network systems. Degradation as the main process in the network systems is taken into account. The main attention in present work was paid to the mathematical description of the degradation spreading mechanism in network systems. Developed recursive mathematical model allows assess degradation in network systems during various time moments. Developed methods can be applied for assessment of various risk estimates of hazardous systems such as systems at nuclear power plants.

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Acton, Michael R., Phil J. Baldwin, Tim R. Baldwin y Eric E. R. Jager. "The Development of the PIPESAFE Risk Assessment Package for Gas Transmission Pipelines". En 1998 2nd International Pipeline Conference. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/ipc1998-2000.

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PIPESAFE is a knowledge based hazard and risk assessment package for gas transmission pipelines, which has been developed jointly by an international group of gas transmission companies. PIPESAFE has been developed from the BG (formerly British Gas) TRANSPIRE package, to produce an integrated assessment tool for use on PCs. which includes a range of improvements and additional models backed by large scale experimentation. This paper describes the development of the PIPESAFE package, and the formulation and validation of the mathematical models included within it.

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Moskvichev, V. V., U. S. Postnikova y O. V. Taseiko. "Cluster analysis and individual anthropogenic risk". En Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes 2021. Crossref, 2021. http://dx.doi.org/10.25743/sdm.2021.54.88.063.

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Models and assessment methods of anthropogenic risk are analyzed at this article, general basis of mathematical approach for risk analysis is disclosed. Based on multivariate statistic methods, algorithm of analysis for Siberian territories safety is formulated, it allows to define acceptable level of risk for each territorial group (cities with population density more than 70 000, towns with population less than 70 000, and municipals areas).

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Zafirovski, Zlatko, Vasko Gacevski, Zoran Krakutovski, Slobodan Ognjenovic y Ivona Nedevska. "Methodology for tunnel risk assessment using fault and event tree analysis". En 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.1051.

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The intense demand and construction of tunnels is accompanied by uncertainties. The reason for appearance of uncertainties are the complex solutions and conditions for these structures. Location and dimensions are becoming more challenging, and the construction is predicted in complexed geological conditions, leading to application of new approaches, methodologies and technologies by the engineers. Most of the uncertainties and unwanted events in tunnelling occur in the construction phase, which generally leads to economic consequences and time losses. For easier handling of the uncertainties, they should be anticipated and studied within a separate part of each project. One of the newer approaches to dealing with uncertainties is hazard and risk assessment and defining ways to deal with them i.e. management. Hazards and risks can be analysed qualitatively and quantitatively. The quantitative analysis, examines the causes and consequences in more detail way and gives explanation of the dependencies. With the quantitative approach, a more valuable information for decision-making can be provided. There are various models and methods used for the quantification of hazards and risks. This paper presents a methodology in which the fault tree analysis and event tree analysis are used in combination to obtain quantitative results. The fault tree analysis is used for assessment of various hazards and the different ways and reasons that cause them. The event tree analysis is a method for assessing the possible scenarios, which follow after a certain hazard i.e. the consequences that may occur in the project. These trees represent graphic models combined with a mathematical (probabilistic) model, which give the probability of occurrence of the risks.

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Informes sobre el tema "Risk assessment - Mathematical models"

Lopez, A. R., L. A. Gritzo y M. P. Sherman. Risk assessment compatible fire models (RACFMs). Office of Scientific and Technical Information (OSTI), julio de 1998. http://dx.doi.org/10.2172/661660.

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Ploeger, S. K., M. J. Nollet, M. Sawada y A. Abo El Ezz. Inventory models for regional scale natural hazards risk assessment. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2018. http://dx.doi.org/10.4095/308352.

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Wahl, L. E. A comparison of radiological risk assessment models: Risk assessment models used by the BEIR V Committee, UNSCEAR, ICRP, and EPA (for NESHAP). Office of Scientific and Technical Information (OSTI), marzo de 1994. http://dx.doi.org/10.2172/10141938.

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Eslinger, P. W., T. B. Miley, D. W. Engel y P. J. II Chamberlain. SUMO, System performance assessment for a high-level nuclear waste repository: Mathematical models. Office of Scientific and Technical Information (OSTI), septiembre de 1992. http://dx.doi.org/10.2172/140865.

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Ehrhart, Brian y Ethan Hecht. Hydrogen Risk Assessment Models (HyRAM) Version 3.0 Technical Reference Manual. Office of Scientific and Technical Information (OSTI), septiembre de 2020. http://dx.doi.org/10.2172/1673177.

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Ehrhart, Brian y Ethan Hecht. Hydrogen Risk Assessment Models (HyRAM) Version 3.1 Technical Reference Manual. Office of Scientific and Technical Information (OSTI), mayo de 2021. http://dx.doi.org/10.2172/1784842.

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Dusicka, Peter. Bridge Damage Models for Seismic Risk Assessment of Oregon Highway Network. Portland State University Library, octubre de 2011. http://dx.doi.org/10.15760/trec.19.

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Jack Pashin, Guohai Jin, Chunmiao Zheng, Song Chen y Marcella McIntyre. Discrete Fracture Network Models for Risk Assessment of Carbon Sequestration in Coal. Office of Scientific and Technical Information (OSTI), julio de 2008. http://dx.doi.org/10.2172/941131.

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Hecht, Ethan y Brian Ehrhart. Hydrogen Plus Other Alternative Fuels Risk Assessment Models (HyRAM+) Version 4.0 Technical Reference Manual. Office of Scientific and Technical Information (OSTI), noviembre de 2021. http://dx.doi.org/10.2172/1832082.

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Ehrhart, Brian y Ethan Hecht. Hydrogen Plus Other Alternative Fuels Risk Assessment Models (HyRAM+) Version 4.1 Technical Reference Manual. Office of Scientific and Technical Information (OSTI), abril de 2022. http://dx.doi.org/10.2172/1865723.

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