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You searched for subject:(likelihood risk uncertainty). Showing records 1 – 4 of 4 total matches.

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Heriot-Watt University

1. Chen, Liang. Small population bias and sampling effects in stochastic mortality modelling.

Degree: PhD, 2017, Heriot-Watt University

 Pension schemes are facing more difficulties on matching their underlying liabilities with assets, mainly due to faster mortality improvements for their underlying populations, better environments… (more)

Subjects/Keywords: Small population; age effect; period effect; cohort effect; bootstrap; parameter uncertainty; systematic parameter difference; likelihood ratio test; power of test; Bayesian inference; MCMC; informative prior; longevity risk; sampling variation; ARIMA

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APA (6th Edition):

Chen, L. (2017). Small population bias and sampling effects in stochastic mortality modelling. (Doctoral Dissertation). Heriot-Watt University. Retrieved from http://hdl.handle.net/10399/3372

Chicago Manual of Style (16th Edition):

Chen, Liang. “Small population bias and sampling effects in stochastic mortality modelling.” 2017. Doctoral Dissertation, Heriot-Watt University. Accessed December 14, 2019. http://hdl.handle.net/10399/3372.

MLA Handbook (7th Edition):

Chen, Liang. “Small population bias and sampling effects in stochastic mortality modelling.” 2017. Web. 14 Dec 2019.

Vancouver:

Chen L. Small population bias and sampling effects in stochastic mortality modelling. [Internet] [Doctoral dissertation]. Heriot-Watt University; 2017. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/10399/3372.

Council of Science Editors:

Chen L. Small population bias and sampling effects in stochastic mortality modelling. [Doctoral Dissertation]. Heriot-Watt University; 2017. Available from: http://hdl.handle.net/10399/3372


University of Florida

2. Pavlikov, Konstantin IVanovich. Optimization Topics in Risk Management.

Degree: PhD, Industrial and Systems Engineering, 2014, University of Florida

This study is located at the intersection of risk management, optimization, statistical Advisors/Committee Members: URYASEV,STANISLAV (committee chair), BOGINSKIY,VLADIMIR L (committee member), HAGER,WILLIAM WARD (committee member).

Subjects/Keywords: Gaussian distributions; Interdependent networks; Maximum likelihood estimations; Method of moments; Natural logarithms; Operational risks; Random variables; Statistics; T score; Truncation; likelihood  – risk  – uncertainty

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pavlikov, K. I. (2014). Optimization Topics in Risk Management. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046911

Chicago Manual of Style (16th Edition):

Pavlikov, Konstantin IVanovich. “Optimization Topics in Risk Management.” 2014. Doctoral Dissertation, University of Florida. Accessed December 14, 2019. http://ufdc.ufl.edu/UFE0046911.

MLA Handbook (7th Edition):

Pavlikov, Konstantin IVanovich. “Optimization Topics in Risk Management.” 2014. Web. 14 Dec 2019.

Vancouver:

Pavlikov KI. Optimization Topics in Risk Management. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Dec 14]. Available from: http://ufdc.ufl.edu/UFE0046911.

Council of Science Editors:

Pavlikov KI. Optimization Topics in Risk Management. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046911


Vienna University of Economics and Business

3. Vana, Laura. Statistical Modeling for Credit Ratings.

Degree: 2018, Vienna University of Economics and Business

 This thesis deals with the development, implementation and application of statistical modeling techniques which can be employed in the analysis of credit ratings. Credit ratings… (more)

Subjects/Keywords: Bayesian model averaging; composite likelihood estimation; correlated ordinal data; credit risk; credit ratings; credit rating agencies; financial ratios; model uncertainty; multivariate ordinal logit regression model; multivariate ordinal probit regression model; predictive modeling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vana, L. (2018). Statistical Modeling for Credit Ratings. (Thesis). Vienna University of Economics and Business. Retrieved from http://epub.wu.ac.at/6439/1/dissertation_lvana.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vana, Laura. “Statistical Modeling for Credit Ratings.” 2018. Thesis, Vienna University of Economics and Business. Accessed December 14, 2019. http://epub.wu.ac.at/6439/1/dissertation_lvana.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vana, Laura. “Statistical Modeling for Credit Ratings.” 2018. Web. 14 Dec 2019.

Vancouver:

Vana L. Statistical Modeling for Credit Ratings. [Internet] [Thesis]. Vienna University of Economics and Business; 2018. [cited 2019 Dec 14]. Available from: http://epub.wu.ac.at/6439/1/dissertation_lvana.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vana L. Statistical Modeling for Credit Ratings. [Thesis]. Vienna University of Economics and Business; 2018. Available from: http://epub.wu.ac.at/6439/1/dissertation_lvana.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

4. Alsaqqa, Obada. Fuzzy Time-Delay Model in Fault-Tree Analysis for Critical Path Method.

Degree: MS, Civil Engineering, 2015, The Ohio State University

 Construction projects are always expected to be delayed, but the likelihood of a delay varies between projects because of the particular circumstances and schedule for… (more)

Subjects/Keywords: Civil Engineering; Engineering; Mathematics; Logic; Management; Operations Research; Industrial Engineering; Construction Management; CPM; Delay Likelihood; Fault Tree Analysis; FFTA; FTA; Fuzzy Fault Tree; Fuzzy Fault Tree Analysis; Fuzzy Logic; Fuzzy Model; PERT; Project Delay; Risk Management; Scheduling; Time Delay Analysis; Time Overrun; Uncertainty

…7 vii 2.1 Weighing Risk and Opportunity… …11 2.2 Pure Risk… …85 5.5.2 Likelihood of Project Delay… …36 Table 2. Final Fuzzy Sets for 1-Day Delay Likelihood and Some of their Properties… …51 Table 8. Delay Likelihood Assessment – “Fuzzy Sum” Example… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alsaqqa, O. (2015). Fuzzy Time-Delay Model in Fault-Tree Analysis for Critical Path Method. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1429772426

Chicago Manual of Style (16th Edition):

Alsaqqa, Obada. “Fuzzy Time-Delay Model in Fault-Tree Analysis for Critical Path Method.” 2015. Masters Thesis, The Ohio State University. Accessed December 14, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429772426.

MLA Handbook (7th Edition):

Alsaqqa, Obada. “Fuzzy Time-Delay Model in Fault-Tree Analysis for Critical Path Method.” 2015. Web. 14 Dec 2019.

Vancouver:

Alsaqqa O. Fuzzy Time-Delay Model in Fault-Tree Analysis for Critical Path Method. [Internet] [Masters thesis]. The Ohio State University; 2015. [cited 2019 Dec 14]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1429772426.

Council of Science Editors:

Alsaqqa O. Fuzzy Time-Delay Model in Fault-Tree Analysis for Critical Path Method. [Masters Thesis]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1429772426

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