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Статті в журналах з теми "Risk assessment mathematical models; fermentation mathematical models"
De Wrachien, D., and S. Mambretti. "Mathematical models for flood hazard assessment." International Journal of Safety and Security Engineering 1, no. 4 (December 31, 2011): 353–62. http://dx.doi.org/10.2495/safe-v1-n4-353-362.
Повний текст джерелаPark, Colin N. "Mathematical models in quantitative assessment of carcinogenic risk." Regulatory Toxicology and Pharmacology 9, no. 3 (June 1989): 236–43. http://dx.doi.org/10.1016/0273-2300(89)90062-7.
Повний текст джерелаKodell, 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.
Повний текст джерелаСычев, Михаил, Mikhail Sychev, Владимир Минаев, Vladimir Minaev, Александр Фаддеев, and Aleksandr Faddeev. "Seismic risk assessment in tourist-recreational areas: mathematical models." Servis Plus 9, no. 2 (June 15, 2015): 25–34. http://dx.doi.org/10.12737/11309.
Повний текст джерелаEuhus, David M. "Understanding Mathematical Models for Breast Cancer Risk Assessment and Counseling." Breast Journal 7, no. 4 (July 2001): 224–32. http://dx.doi.org/10.1046/j.1524-4741.2001.20012.x.
Повний текст джерелаSeigneur, Christian, Akula Venkatram, Don Galya, Paul Anderson, David Liu, Donna Foliart, Rudolph von Burg, Yoram Cohen, Thomas Permutt, and Leonard Levin. "Review of mathematical models for health risk assessment: I. Overview." Environmental Software 7, no. 1 (January 1992): 3–7. http://dx.doi.org/10.1016/0266-9838(92)90018-y.
Повний текст джерелаSeigneur, Christian. "Review of mathematical models for health risk assessment: VI. population exposure." Environmental Software 9, no. 2 (January 1994): 133–45. http://dx.doi.org/10.1016/0266-9838(94)90005-1.
Повний текст джерелаLiu, David. "Review of mathematical models for health risk assessment: VII. chemical dose." Environmental Software 9, no. 3 (January 1994): 153–60. http://dx.doi.org/10.1016/0266-9838(94)90027-2.
Повний текст джерелаIvanyo, Yaroslav, Nina Fedurina, and Zhanna Varanitsa-Gorodovskaya. "Mathematical models of agricultural production management in high risk environments." E3S Web of Conferences 222 (2020): 01018. http://dx.doi.org/10.1051/e3sconf/202022201018.
Повний текст джерелаShuryak, Igor. "Enhancing low-dose risk assessment using mechanistic mathematical models of radiation effects." Journal of Radiological Protection 39, no. 4 (September 27, 2019): S1—S13. http://dx.doi.org/10.1088/1361-6498/ab3101.
Повний текст джерелаДисертації з теми "Risk assessment mathematical models; fermentation 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.
Повний текст джерелаWang, 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.
Повний текст джерелаOwen, 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.
Повний текст джерелаZhu, 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.
Повний текст джерелаShen, 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.
Повний текст джерелаBlatt, 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/.
Повний текст джерелаCross, Richard J. (Richard John). "Inference and Updating of Probabilistic Structural Life Prediction Models." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19828.
Повний текст джерелаGalane, Lesiba Charles. "The risk parity approach to asset allocation." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/95974.
Повний текст джерелаENGLISH 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.
Ghosh, Gregory. "Lifesafety Analysis in the Building Firesafety Method." Digital WPI, 2004. https://digitalcommons.wpi.edu/etd-theses/1106.
Повний текст джерелаBaade, Ingrid Annette. "Survival analysis diagnostics." Thesis, Queensland University of Technology, 1997.
Знайти повний текст джерелаКниги з теми "Risk assessment mathematical models; fermentation 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.
Знайти повний текст джерелаMathematical methods of environmental risk modeling. Boston, USA: Kluwer Academic Publishers, 2001.
Знайти повний текст джерелаQuantitative operational risk models. Boca Raton: Taylor & Francis, 2012.
Знайти повний текст джерелаRachev, Svetlozar T. Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization. New York: John Wiley & Sons, Ltd., 2008.
Знайти повний текст джерелаZhivetin, Vladimir. Banking system risk management: Mathematical modeling. Moscow: Institute for Risk Problems, 2012.
Знайти повний текст джерелаAven, Terje. Risk analysis. Chichester, West Sussex, United Kingdom: John Wiley & Sons, 2015.
Знайти повний текст джерелаZhivetin, Vladimir. Introduction to risks analysis. Moscow: In-t for Risk Problems, 2009.
Знайти повний текст джерелаZhivetin, Vladimir. Vvedenie v analiz riska. Moskva: Institut problem riska, 2008.
Знайти повний текст джерелаGorelik, V. A. Modeli ot︠s︡enki kollektivnogo i sistemnogo riska. Moskva: Vychislitelʹnyĭ t︠s︡entr im. A.A. Dorodnit︠s︡yna Rossiĭskoĭ akademii nauk, 2011.
Знайти повний текст джерелаZhivetin, Vladimir. Vvedenie v teorii︠u︡ riska (dinamicheskikh sistem). Moskva: In-t problem riska, 2008.
Знайти повний текст джерелаЧастини книг з теми "Risk assessment mathematical models; fermentation mathematical models"
Brannigan, Vincent, and Carol Smidts. "Risk Based Regulation Using Mathematical Risk Models." In Probabilistic Safety Assessment and Management ’96, 721–25. London: Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-3409-1_115.
Повний текст джерелаHill, M. D. "Use of Mathematical Models in Risk Assessment and Risk Management." In Radionuclides in the Food Chain, 335–61. London: Springer London, 1988. http://dx.doi.org/10.1007/978-1-4471-1610-3_24.
Повний текст джерелаWickramaratne, G. A. de S. "Application of Mathematical Dose-Response Models vs. Physiological Models in Risk Assessment in Reproductive Toxicology." In 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.
Повний текст джерелаSeo, Fumiko. "Multiple Risk Assessment with Random Utility Models in Probabilistic Group Decision Making." In 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.
Повний текст джерелаNavrátil, Josef, Veronika Sadovská, and Irena Švarcová. "Health Risk Assessment of Combustion Products from Simulated Residential Fire." In 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.
Повний текст джерелаBiswas, Swarnava, Anoop Kumar Prasad, Debajit Sen, Dinesh Bhatia, and Moumita Mukherjee. "Comparative Study on Predictive Mathematical Models for Risk Assessment of nCOVID-19 Pandemic in India." In Lecture Notes in Bioengineering, 393–404. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6915-3_39.
Повний текст джерелаCaminade, Cyril. "How to model the impact of climate change on vector-borne diseases?" In Climate, ticks and disease, 26–31. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789249637.0004.
Повний текст джерела"Mathematical Models of Chemical Transport and Fate." In Ecological Risk Assessment, 247–72. CRC Press, 2016. http://dx.doi.org/10.1201/9781420012569-29.
Повний текст джерела"Mathematical Models of Chemical Transport and Fate." In Ecological Risk Assessment, Second Edition. CRC Press, 2006. http://dx.doi.org/10.1201/9781420012569.ch21.
Повний текст джерелаDe Wrachien, D., and S. Mambretti. "Mathematical models in flood management: overview, laboratory tests and case study." In Flood Risk Assessment and Management, 11–22. WIT Press, 2011. http://dx.doi.org/10.2495/978-1-84564-646-2/02.
Повний текст джерелаТези доповідей конференцій з теми "Risk assessment mathematical models; fermentation mathematical models"
Razzaghi, Mehdi. "Teaching Statistical Models for Risk Assessment." In 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.
Повний текст джерелаZappalà, G., S. Bonamano, A. Madonia, G. Caruso, and M. Marcelli. "Microbiological risk assessment in a coastal marine environment through the use of mathematical models." In WATER POLLUTION 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/wp120011.
Повний текст джерелаSchnabel, Freya, Jennifer Chun, Shira Schwartz, Amber Guth, Deborah Axelrod, Richard Shapiro, Karen Hiotis, and Julia Smith. "Abstract A29: Mathematical models are not the be-all and end-all for breast cancer risk assessment." In 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.
Повний текст джерелаActon, Michael R., Phil J. Baldwin, Tim R. Baldwin, and Eric E. R. Jager. "The Development of the PIPESAFE Risk Assessment Package for Gas Transmission Pipelines." In 1998 2nd International Pipeline Conference. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/ipc1998-2000.
Повний текст джерелаMatuzas, Vaidas, Juozas Augutis, and Eugenijus Uspuras. "Degradation Assessment in Complex Systems." In 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/icone14-89190.
Повний текст джерелаMoskvichev, V. V., U. S. Postnikova, and O. V. Taseiko. "Cluster analysis and individual anthropogenic risk." In Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes 2021. Crossref, 2021. http://dx.doi.org/10.25743/sdm.2021.54.88.063.
Повний текст джерелаZafirovski, Zlatko, Vasko Gacevski, Zoran Krakutovski, Slobodan Ognjenovic, and Ivona Nedevska. "Methodology for tunnel risk assessment using fault and event tree analysis." In 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.
Повний текст джерелаGuo, Lingyun, and Markus Niffenegger. "An Evaluation of Probabilistic Integrity Assessment Codes." In ASME 2022 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/pvp2022-84277.
Повний текст джерелаFic Žagar, Petra, Tina Bregant, Matjaž Perc, Anja Goričan, Aleks Jakulin, Janez Žibert, Žiga Zaplotnik, et al. "COVID-19 Vigilance: Towards Better Risk Assessment and Communication During the Next Wave." In Values, Competencies and Changes in Organizations. University of Maribor Press, 2021. http://dx.doi.org/10.18690/978-961-286-442-2.15.
Повний текст джерелаPourghafari, Mohammad, Mohammad Pourgol-Mohammad, Reza Alizadeh, Mojtaba Raheli Kaleibar, and Morteza Soleimani. "Deterministic Hazard Assessment for Petroleum Refinery Products Storage Tanks: Case Study of Tabriz Refinery." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71139.
Повний текст джерела