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Letteratura scientifica selezionata sul tema "Statistic risk"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 18 febbraio 2022

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Articoli di riviste sul tema "Statistic risk"

Shen, Xi, Chang-Xing Ma, Kam C. Yuen, and Guo-Liang Tian. "Common risk difference test and interval estimation of risk difference for stratified bilateral correlated data." Statistical Methods in Medical Research 28, no. 8 (2018): 2418–38. http://dx.doi.org/10.1177/0962280218781988.

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Bilateral correlated data are often encountered in medical researches such as ophthalmologic (or otolaryngologic) studies, in which each unit contributes information from paired organs to the data analysis, and the measurements from such paired organs are generally highly correlated. Various statistical methods have been developed to tackle intra-class correlation on bilateral correlated data analysis. In practice, it is very important to adjust the effect of confounder on statistical inferences, since either ignoring the intra-class correlation or confounding effect may lead to biased results

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Tian, Dejian, and Xinli Suo. "A note on convex risk statistic." Operations Research Letters 40, no. 6 (2012): 551–53. http://dx.doi.org/10.1016/j.orl.2012.09.011.

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Deng, Xiaochuan, and Fei Sun. "Regulator-Based Risk Statistics for Portfolios." Discrete Dynamics in Nature and Society 2020 (July 9, 2020): 1–6. http://dx.doi.org/10.1155/2020/7015267.

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Risk statistic is a critical factor not only for risk analysis but also for financial application. However, the traditional risk statistics may fail to describe the characteristics of regulator-based risk. In this paper, we consider the regulator-based risk statistics for portfolios. By further developing the properties related to regulator-based risk statistics, we are able to derive dual representation for such risk.

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Ocak, Gurbey, Chava Ramspek, Maarten B. Rookmaaker, et al. "Performance of bleeding risk scores in dialysis patients." Nephrology Dialysis Transplantation 34, no. 7 (2019): 1223–31. http://dx.doi.org/10.1093/ndt/gfy387.

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Abstract Background Bleeding risk scores have been created to identify patients with an increased bleeding risk, which could also be useful in dialysis patients. However, the predictive performances of these bleeding risk scores in dialysis patients are unknown. Therefore, the aim of this study was to validate existing bleeding risk scores in dialysis patients. Methods A cohort of 1745 incident dialysis patients was prospectively followed for 3 years during which bleeding events were registered. We evaluated the discriminative performance of the Hypertension, Abnormal kidney and liver function

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Molinari, Nicolas. "A U-statistic test in competing risk models." Comptes Rendus Mathematique 341, no. 5 (2005): 317–22. http://dx.doi.org/10.1016/j.crma.2005.07.016.

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Zhu, Hong Han. "Financial Market Risk Overflow Modeling and Inspection Based on Support Vector Machine." Applied Mechanics and Materials 571-572 (June 2014): 1189–94. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.1189.

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Combined granger test statistics based on VaR and CCF and machine learning theory to establish financial market risk overflow model of support vector machine. To analyze risk information overflow by the statistic characteristics of risk information overflow structure. The model can more effective to test variety forms of risk overflow, Main performance is the extreme risk for information received peripheral selectivity and market volatility non-stability. Emerging markets characteristics in A Shares is evident, the performance are the selective reception of outside extreme risk information. Em

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Überla, K., W. Ahlborn та H. J. Tuz. "Risk Analysis in Cohort Studies with Heterogeneous Strata. A Global χ2-Test for Dose-Response Relationship, Generalizing the Mantel-Haenszel Procedure". Methods of Information in Medicine 29, № 02 (1990): 113–21. http://dx.doi.org/10.1055/s-0038-1636366.

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AbstractIn cohort studies the Mantel-Haenszel estimator OR̂ MH is computed from sample data and is used as a point estimator of relative risk. Test-based confidence intervals are estimated with the help of the asymptotic chi-squared distributed MH-statistic χ2 MHS . The Mantel-exten-sion-chi-squared is used as a test statistic for a dose-response relationship. Both test statistics – the Mantel-Haenszel-chi as well as the Mantel-extension-chi – assume homogeneity of risk across strata, which is rarely present. Also an extended nonparametric statistic, proposed by Terpstra, which is based on the

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McKian, Kevin P., Carol A. Reynolds, Daniel W. Visscher, et al. "Novel Breast Tissue Feature Strongly Associated With Risk of Breast Cancer." Journal of Clinical Oncology 27, no. 35 (2009): 5893–98. http://dx.doi.org/10.1200/jco.2008.21.5079.

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Purpose Accurate, individualized risk prediction for breast cancer is lacking. Tissue-based features may help to stratify women into different risk levels. Breast lobules are the anatomic sites of origin of breast cancer. As women age, these lobular structures should regress, which results in reduced breast cancer risk. However, this does not occur in all women. Methods We have quantified the extent of lobule regression on a benign breast biopsy in 85 patients who developed breast cancer and 142 age-matched controls from the Mayo Benign Breast Disease Cohort, by determining number of acini per

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Gaprindashvili, George, Jianping Guo, Panisara Daorueang, Tian Xin, and Pooyan Rahimy. "A New Statistic Approach towards Landslide Hazard Risk Assessment." International Journal of Geosciences 05, no. 01 (2014): 38–49. http://dx.doi.org/10.4236/ijg.2014.51006.

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Vaziri, Sasha, Jacob Wilson, Joseph Abbatematteo, et al. "Predictive performance of the American College of Surgeons universal risk calculator in neurosurgical patients." Journal of Neurosurgery 128, no. 3 (2018): 942–47. http://dx.doi.org/10.3171/2016.11.jns161377.

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OBJECTIVEThe American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) universal Surgical Risk Calculator is an online decision-support tool that uses patient characteristics to estimate the risk of adverse postoperative events. Further validation of this risk calculator in the neurosurgical population is needed; therefore, the object of this study was to assess the predictive performance of the ACS NSQIP Surgical Risk Calculator in neurosurgical patients treated at a tertiary care center.METHODSA single-center retrospective review of 1006 neurosurgical patients

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Tesi sul tema "Statistic risk"

Pouliot, William. "Two applications of U-Statistic type processes to detecting failures in risk models and structural breaks in linear regression models." Thesis, City University London, 2010. http://openaccess.city.ac.uk/1166/.

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This dissertation is concerned with detecting failures in Risk Models and in detecting structural breaks in linear regression models. By applying Theorem 2.1 of Szyszkowicz on U-statistic type process, a number of weak convergence results regarding three weighted partial sum processes are established. It is shown that these partial sum processes share certain invariance properties; estimation risk does not affect their weak convergence results and they are also robust to asymmetries in the error process in linear regression models. There is also an application of the methods developed here to

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Misák, Petr. "Možnosti řízení a minimalizace rizik technologie výroby stavebních materiálů a výrobků pomocí fuzzy logiky a dalších nástrojů risk managementu." Doctoral thesis, Vysoké učení technické v Brně. Fakulta stavební, 2014. http://www.nusl.cz/ntk/nusl-233814.

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The thesis proposes management options and risk minimizing in the field of building materials production technologies and related products using fuzzy logic and other risk management tools. The thesis indicates why some methodologies are not commonly used. The main purpose of this work (thesis) is to propose possible upgrades of standard methods in process capability and risk minimizing related to building materials and products. Markov analysis and fuzzy Markov chains are applied.

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Follestad, Turid. "Stochastic Modelling and Simulation Based Inference of Fish Population Dynamics and Spatial Variation in Disease Risk." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-41.

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<p>We present a non-Gaussian and non-linear state-space model for the population dynamics of cod along the Norwegian Skagerak coast, embedded in the framework of a Bayesian hierarchical model. The model takes into account both process error, representing natural variability in the dynamics of a population, and observational error, reflecting the sampling process relating the observed data to true abundances. The data set on which our study is based, consists of samples of two juvenile age-groups of cod taken by beach seine hauls at a set of sample stations within several fjords along the coas

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Eliasson, Hampus. "Values at Risk." Thesis, Uppsala universitet, Statistiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-347408.

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Shen, Hanyang, Bizu Gelaye, Hailiang Huang, Marta B. Rondon, Sixto Sanchez, and Laramie E. Duncan. "Polygenic prediction and GWAS of depression, PTSD, and suicidal ideation/self-harm in a Peruvian cohort." Springer Nature, 2020. http://hdl.handle.net/10757/652459.

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Genome-wide approaches including polygenic risk scores (PRSs) are now widely used in medical research; however, few studies have been conducted in low- and middle-income countries (LMICs), especially in South America. This study was designed to test the transferability of psychiatric PRSs to individuals with different ancestral and cultural backgrounds and to provide genome-wide association study (GWAS) results for psychiatric outcomes in this sample. The PrOMIS cohort (N = 3308) was recruited from prenatal care clinics at the Instituto Nacional Materno Perinatal (INMP) in Lima, Peru. Three ma

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Agering, Harald. "True risk of illiquid investments." Thesis, KTH, Matematik (Inst.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233577.

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Alternative assets are becoming a considerable portion of global financial markets. Some of these alternative assets are highly illiquid, and as such they may require more intricate methods for calculating risk and performance statistics accurately. Research on hedge funds has established a pattern of risk being understated and various measures of performance being overstated due to illiquidity of the assets. This paper sets out to prove the existence of such bias and presents methods for removing it. Four mathematical methods aiming to adjust statistics for sparse return series were considere

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Svindland, Gregor. "Convex Risk Measures Beyond Bounded Risks." Diss., lmu, 2009. http://nbn-resolving.de/urn:nbn:de:bvb:19-97156.

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Tang, Zhaofeng. "Quantitative risk management under systematic and systemic risks." Diss., University of Iowa, 2019. https://ir.uiowa.edu/etd/7035.

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The contemporary risk management practice emphasizes the interplay of multilevel risks, of which the systematic and systemic risks are considered the main culprits of catastrophic losses. With this in mind, this thesis investigates three important topics in quantitative risk management, in which the systematic and systemic risks play a devastating role. First of all, we center on the design of reinsurance policies that accommodate the joint interests of the insurer and reinsurer by drawing upon the celebrated notion of Pareto optimality in the context of a distortion-risk-measure-based model.

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Sandberg, Martina. "Credit Risk Evaluation using Machine Learning." Thesis, Linköpings universitet, Statistik och maskininlärning, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138968.

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In this thesis, we examine the machine learning models logistic regression, multilayer perceptron and random forests in the purpose of discriminate between good and bad credit applicants. In addition to these models we address the problem of imbalanced data with the Synthetic Minority Over-Sampling Technique (SMOTE). The data available have 273 286 entries and contains information about the invoice of the applicant and the credit decision process as well as information about the applicant. The data was collected during the period 2015-2017. With AUC-values at about 73%some patterns are found t

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Ljung, Carl. "Copula selection and parameter estimation in market risk models." Thesis, KTH, Matematisk statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204420.

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In this thesis, literature is reviewed for theory regarding elliptical copulas (Gaussian, Student’s t, and Grouped t) and methods for calibrating parametric copulas to sets of observations. Theory regarding model diagnostics is also summarized in the thesis. Historical data of equity indices and government bond rates from several geo-graphical regions along with U.S. corporate bond indices are used as proxies of the most significant stochastic variables in the investment portfolio of If P&C. These historical observations are transformed into pseudo-uniform observations, pseudo-observations

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Libri sul tema "Statistic risk"

D, Schmidt Klaus. Lectures on risk theory. Teubner, 1996.

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Statistical sampling and risk analysis in auditing. Gower, 1999.

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Covello, Vincent T. Risk communication, risk statistics, and risk comparisons: A manual for plant managers. Chemical Manufacturers Association, 1988.

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Norberg, Ragnar. Risk theory and its statistics environment. University of Copenhagen, 1988.

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Statistical estimation of epidemiological risk. Wiley, 2003.

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Gottfredson, Don M. Statistical approaches to assessing risk. U.S. Dept. of Justice, Office of Justice Programs, Office of Juvenile Justice and Delinquency Prevention, 2002.

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Chance rules: An informal guide to probability, risk and statistics. 2nd ed. Springer, 2008.

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Everitt, Brian. Chance rules: An informal guide to probability, risk, and statistics. Copernicus, 1999.

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Miller, Michael B. Mathematics and Statistics for Financial Risk Management. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118819616.

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De Luca, Giovanni, Danilo Carità, and Francesco Martinelli. Statistical Analysis of Operational Risk Data. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42580-7.

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Capitoli di libri sul tema "Statistic risk"

Tian, Ze, and Jianjun Han. "Developmental Tendency and Empirical Analysis of Staff’s Boundaryless Career: Statistic Analysis Based on the Experience in China." In Computational Risk Management. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18387-4_46.

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Mazankova, Martina J. "Statistic of Police of Czech Republic Influence on Risk Assessment of Road Traffic." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41468-3_47.

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Rhinehart, R. Russell, and Robert M. Bethea. "Risk." In Applied Engineering Statistics, 2nd ed. CRC Press, 2021. http://dx.doi.org/10.1201/9781003222330-14.

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Liu, Ze-zhao, Hui-jia Wang, Juan-li Wang, and J. Huang. "Risk Analysis and Management Mechanism Innovation on Northwest China Urban Minority Floating Population—A Statistic Sample from City of Xi’an." In Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013). Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40060-5_29.

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Rogers, Jamie. "Financial Statistics." In Strategy, Value and Risk. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21978-9_4.

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Jia, Junbo. "Statistics of Motions and Loads." In Risk Engineering. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-37003-8_10.

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Cox, Louis Anthony. "Statistical Risk Modeling." In Risk Analysis Foundations, Models, and Methods. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0847-2_3.

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Faber, Michael Havbro. "Descriptive Statistics." In Topics in Safety, Risk, Reliability and Quality. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4056-3_3.

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Keener, Robert W. "Risk, Sufficiency, Completeness, and Ancillarity." In Theoretical Statistics. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-93839-4_3.

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Damnjanovic, Ivan, and Kenneth Reinschmidt. "Statistical Project Control." In Risk, Systems and Decisions. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14251-3_12.

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Atti di convegni sul tema "Statistic risk"

Dziadosz, Agnieszka, and Mariusz Rejment. "Risk assessment in construction project using statistic approach." In CENTRAL EUROPEAN SYMPOSIUM ON THERMOPHYSICS 2019 (CEST). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5114169.

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Borisenko, J. V. "The Statistic Model Of Suicide Risk Among Russian Students." In icCSBs 2019 - 8th Annual International Conference on Cognitive - Social, and Behavioural Sciences. Cognitive-Crcs, 2019. http://dx.doi.org/10.15405/epsbs.2019.12.02.26.

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Ker-tah, Hsu, Liu Weiling, and Yan Tzung-ming. "Grey clustering statistic, policyholder's risk attitude and purchase decision." In 2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/gsis.2009.5408080.

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Gao, Cui-Juan, De-Yong Zhao, Wei-Min Ye, and Xiao Chen. "Notice of Retraction Risk assesment method based on concentrated numeric statistic matrix." In 2013 International Conference on Quality, Reliability, Risk, Maintenance and Safety Engineering (QR2MSE). IEEE, 2013. http://dx.doi.org/10.1109/qr2mse.2013.6625607.

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Yang Liu. "Operational statistic risk assessment for power systems under extreme weather conditions." In 10th International Conference on Advances in Power System Control, Operation & Management (APSCOM 2015). Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0292.

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Zheng, Yi, Qing-Xia Geng, and Rui He. "The application of control chart based on Bayesian Statistic in equipment maintenance quality control." In 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE). IEEE, 2013. http://dx.doi.org/10.1109/qr2mse.2013.6625894.

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Mai, Songyan, Ji Zeng, Qi Feng, Renan Liu, and Yan Chen. "Risk Assessment of Ship Systems Based on Forward FTF Method." In ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-95320.

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Abstract Ocean-going vessels sailing alone in the boundless sea often encounter various problems and pose a serious threat to the safety of the ship. According to statistic, many of these accidents are caused by problems such as aging equipment and lack of maintenance. After IMO issued mandatory regulations, China Classification Society (CCS) released Failure Mode and Impact Analysis Guide in 2017 (Guidance Notes GD16-2017), in connection with failure mode and impact analysis for ship equipment and systems. In this paper, based on a multi-purpose offshore carrier, the forward FTF (FMECA &

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Zheng, Zhijie, Zhicheng Sha, and Lei Li. "Application of Interval Method in Reliability Analysis of Nuclear Plant Off-Site Power Supply." In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-29134.

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The loss of off-site power supply for nuclear power plants may lead to a core melt accident, with large potential risk. So the evaluation of loss of off-site power is important for the PSA (Probabilistic Safety Assessment). Uncertainty of the original parameters of electric grid components may be caused by the shortage of the statistical information, the approximation to model parameters or the statistic error. In order to deal with the uncertainty problem in electric grids, interval analysis method is introduced in this paper. The original reliability parameters that are changing in a certain

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A Halim, Rahimah, M. Hatta Mhd Yusof, M. Hanafi M Khalid, Hao Xiang Wong, and M. Zarkashi Sulaiman. "Wait on Weather WOW Impact Trending in Malaysia Water: Comprehensive Data Analytics Led to Safe and Optimum Well Planning and Offshore Execution." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21259-ms.

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Abstract Drilling operation in Malaysia are typically from offshore, thus offshore weather condition does contributed to the success or delay of a drilling operation. Wait on Weather (WOW) especially during monsoon season in Malaysia has impacted Operator's drilling operation, thus incurring additional cost to Operator. Monsoon season in Malaysia is typically from November to February every year. This paper will discuss and share the statistics of actual WOW happening from 2008 to 2019 in Malaysia water especially for jack-up rig (JUR) and tender assisted drilling rig (TADR) which are two comm

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De Poli, Gian Paolo, Carlo Frola, Massimo Gallizio, Luca Fattore, and Massimiliano Mattone. "Multidisciplinary Integration and Robustness Evaluation Applied to Low Pressure Turbine Casing Design." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-90464.

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In modern aerospace engineering design context one of the most important task is managing and simulate properly the effect of uncertainties on the response and performance of the system. In fact real engineering problems are characterised by random variations of material property, variation of loading conditions, manufacturing tolerances, etc. Different approaches have been developed by the research community to address uncertainties; while reliability methods primarily deal with probability of constraint satisfaction or violation, robust design methods have focused on the variation of system

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Rapporti di organizzazioni sul tema "Statistic risk"

Nelson, Gena. High Leverage Practices in Special Education Synthesis Coding Protocol. Boise State University, 2021. http://dx.doi.org/10.18122/sped134.boisestate.

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The purpose of document is to provide readers with the coding protocol that authors used to code 76 meta-analyses focused on students with or at-risk of disabilities. All of the included meta-analyses provided a summary statistic related to at least one of the High Leverage Practices (HLPs; McLeskey et al., 2017). ). The purpose of the systematic review of meta-analyses was to provide an initial investigation of the evidence supporting the effectiveness of the HLPs for students with, or at-risk for, a disability. This code book contains variable names, code options, and code definitions relate

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Einav, Liran, Amy Finkelstein, Raymond Kluender, and Paul Schrimpf. Beyond Statistics: The Economic Content of Risk Scores. National Bureau of Economic Research, 2015. http://dx.doi.org/10.3386/w21304.

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Saricks, C. L., R. G. Williams, and M. R. Hopf. Data base of accident and agricultural statistics for transportation risk assessment. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/7171598.

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Uryasev, Stan, and Tyrrel R. Rockafellar. New Developments in Uncertainty: Linking Risk Management, Reliability, Statistics and Stochastic Optimization. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada616353.

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Levitt, Steven, and Jack Porter. Estimating the Effect of Alcohol on Driver Risk Using Only Fatal Accident Statistics. National Bureau of Economic Research, 1999. http://dx.doi.org/10.3386/w6944.

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Mirel, Lisa, Cindy Zhang, Christine Cox, Ye Yeats, Félix Suad El Burai, and Golden Cordell. Comparative analysis of the National Health and Nutrition Examination Survey public-use and restricted-use linked mortality files. Centers for Disease Control and Prevention (U.S.), 2021. http://dx.doi.org/10.15620/cdc:104744.

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"Objectives—Linking national survey data with administrative data sources enables researchers to conduct analyses that would not be possible with each data source alone. Recently, the Data Linkage Program at the National Center for Health Statistics (NCHS) released updated Linked Mortality Files, including the National Health and Nutrition Examination Survey data linked to the National Death Index mortality files. Two versions of the files were released: restricted-use files available through NCHS and Federal Statistical Research Data Centers and public-use files. To reduce the reidentificatio

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Kaplow, Louis. The Value of a Statistical Life and the Coefficient of Relative Risk Aversion. National Bureau of Economic Research, 2003. http://dx.doi.org/10.3386/w9852.

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Burnside, A. Craig. Empirical Asset Pricing and Statistical Power in the Presence of Weak Risk Factors. National Bureau of Economic Research, 2007. http://dx.doi.org/10.3386/w13357.

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Pizarro, Rodrigo, Raúl Delgado, Huáscar Eguino, and Aloisio Lopes Pereira. Climate Change Public Budget Tagging: Connections across Financial and Environmental Classification Systems. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003021.

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Identifying and evaluating climate expenditures in the public sector, known as budget tagging, has generated increasing attention from multiple stakeholders, not only to assess the governments climate change policy, but also to monitor fiscal risks associated with increasing and unpredictable climate change impacts. This paper explores the issues raised by climate change budget tagging in the context of a broader discussion on the connections with fiscal and environmental statistical classification systems. It argues that, for climate change budget tagging efforts to be successful, the definit

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Mukherjee, Sayan, Partha Niyogi, Tomaso Poggio, and Ryan Rifkin. Statistical Learning: Stability is Sufficient for Generalization and Necessary and Sufficient for Consistency of Empirical Risk Minimization. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada459857.

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