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You searched for +publisher:"University of Arizona" +contributor:("Duckstein, Lucien"). Showing records 1 – 13 of 13 total matches.

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University of Arizona

1. Boner, Kevin Eugene, 1961-. Command control system modeling for evaluating readiness .

Degree: 1988, University of Arizona

 The objective of this research was to develop a framework whereby the United States Naval Surface Forces could be provided with better information to determine… (more)

Subjects/Keywords: Operational readiness (Military science)  – Computer simulation.; Weapons systems  – Computer simulation.; United States.  – Navy  – Operational readiness.

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APA (6th Edition):

Boner, Kevin Eugene, 1. (1988). Command control system modeling for evaluating readiness . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/276835

Chicago Manual of Style (16th Edition):

Boner, Kevin Eugene, 1961-. “Command control system modeling for evaluating readiness .” 1988. Masters Thesis, University of Arizona. Accessed December 14, 2017. http://hdl.handle.net/10150/276835.

MLA Handbook (7th Edition):

Boner, Kevin Eugene, 1961-. “Command control system modeling for evaluating readiness .” 1988. Web. 14 Dec 2017.

Vancouver:

Boner, Kevin Eugene 1. Command control system modeling for evaluating readiness . [Internet] [Masters thesis]. University of Arizona; 1988. [cited 2017 Dec 14]. Available from: http://hdl.handle.net/10150/276835.

Council of Science Editors:

Boner, Kevin Eugene 1. Command control system modeling for evaluating readiness . [Masters Thesis]. University of Arizona; 1988. Available from: http://hdl.handle.net/10150/276835


University of Arizona

2. Sagar, Budhi,1943-. Calibration and validation of aquifer model.

Degree: 1973, University of Arizona

 The main aim of this study is to develop a suitable method for the calibration and validation of mathematical models of large and complex aquifer… (more)

Subjects/Keywords: Hydrology.; Aquifers  – Mathematical models.; Groundwater flow  – Mathematical models.

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APA (6th Edition):

Sagar, B. (1973). Calibration and validation of aquifer model. (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/190993

Chicago Manual of Style (16th Edition):

Sagar, Budhi,1943-. “Calibration and validation of aquifer model. ” 1973. Doctoral Dissertation, University of Arizona. Accessed December 14, 2017. http://hdl.handle.net/10150/190993.

MLA Handbook (7th Edition):

Sagar, Budhi,1943-. “Calibration and validation of aquifer model. ” 1973. Web. 14 Dec 2017.

Vancouver:

Sagar B. Calibration and validation of aquifer model. [Internet] [Doctoral dissertation]. University of Arizona; 1973. [cited 2017 Dec 14]. Available from: http://hdl.handle.net/10150/190993.

Council of Science Editors:

Sagar B. Calibration and validation of aquifer model. [Doctoral Dissertation]. University of Arizona; 1973. Available from: http://hdl.handle.net/10150/190993


University of Arizona

3. Gupta, Vijay K.(Vijay Kumar),1946-. A stochastic approach to space-time modeling of rainfall.

Degree: 1973, University of Arizona

 This study gives a phenomenologically based stochastic model of space-time rainfall. Specifically, two random variables on the spatial rainfall, e.g., the cumulative rainfall within a… (more)

Subjects/Keywords: Hydrology.; Rain and rainfall  – Mathematical models.; Stochastic analysis.

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APA (6th Edition):

Gupta, V. K. (. K. (1973). A stochastic approach to space-time modeling of rainfall. (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/190994

Chicago Manual of Style (16th Edition):

Gupta, Vijay K (Vijay Kumar),1946-. “A stochastic approach to space-time modeling of rainfall. ” 1973. Doctoral Dissertation, University of Arizona. Accessed December 14, 2017. http://hdl.handle.net/10150/190994.

MLA Handbook (7th Edition):

Gupta, Vijay K (Vijay Kumar),1946-. “A stochastic approach to space-time modeling of rainfall. ” 1973. Web. 14 Dec 2017.

Vancouver:

Gupta VK(K. A stochastic approach to space-time modeling of rainfall. [Internet] [Doctoral dissertation]. University of Arizona; 1973. [cited 2017 Dec 14]. Available from: http://hdl.handle.net/10150/190994.

Council of Science Editors:

Gupta VK(K. A stochastic approach to space-time modeling of rainfall. [Doctoral Dissertation]. University of Arizona; 1973. Available from: http://hdl.handle.net/10150/190994


University of Arizona

4. Shafike, Nabil Girgis. Groundwater flow simulations and management under imprecise parameters .

Degree: 1994, University of Arizona

 This dissertation considers modeling groundwater flow under imprecisely known parameters and managing a plume of contaminant. A new approach has been developed to study the… (more)

Subjects/Keywords: Hydrology.; Groundwater flow  – Simulation methods.; Groundwater  – Management.; Fuzzy logic.

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APA (6th Edition):

Shafike, N. G. (1994). Groundwater flow simulations and management under imprecise parameters . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/191180

Chicago Manual of Style (16th Edition):

Shafike, Nabil Girgis. “Groundwater flow simulations and management under imprecise parameters .” 1994. Doctoral Dissertation, University of Arizona. Accessed December 14, 2017. http://hdl.handle.net/10150/191180.

MLA Handbook (7th Edition):

Shafike, Nabil Girgis. “Groundwater flow simulations and management under imprecise parameters .” 1994. Web. 14 Dec 2017.

Vancouver:

Shafike NG. Groundwater flow simulations and management under imprecise parameters . [Internet] [Doctoral dissertation]. University of Arizona; 1994. [cited 2017 Dec 14]. Available from: http://hdl.handle.net/10150/191180.

Council of Science Editors:

Shafike NG. Groundwater flow simulations and management under imprecise parameters . [Doctoral Dissertation]. University of Arizona; 1994. Available from: http://hdl.handle.net/10150/191180


University of Arizona

5. Eskandari, Abdollah,1952-. Decision support system in watershed management under uncertainty.

Degree: 1997, University of Arizona

 Watershed ecosystems consist of numerous resources which have important environmental, social, cultural, and economic values. The mutual existence and interaction among different resources within the… (more)

Subjects/Keywords: Watershed management.; Hydrology.

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APA (6th Edition):

Eskandari, A. (1997). Decision support system in watershed management under uncertainty. (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/191213

Chicago Manual of Style (16th Edition):

Eskandari, Abdollah,1952-. “Decision support system in watershed management under uncertainty. ” 1997. Doctoral Dissertation, University of Arizona. Accessed December 14, 2017. http://hdl.handle.net/10150/191213.

MLA Handbook (7th Edition):

Eskandari, Abdollah,1952-. “Decision support system in watershed management under uncertainty. ” 1997. Web. 14 Dec 2017.

Vancouver:

Eskandari A. Decision support system in watershed management under uncertainty. [Internet] [Doctoral dissertation]. University of Arizona; 1997. [cited 2017 Dec 14]. Available from: http://hdl.handle.net/10150/191213.

Council of Science Editors:

Eskandari A. Decision support system in watershed management under uncertainty. [Doctoral Dissertation]. University of Arizona; 1997. Available from: http://hdl.handle.net/10150/191213


University of Arizona

6. Lowe, Wing Wah. An exploration of stochastic decomposition algorithms for stochastic linear programs with recourse.

Degree: 1994, University of Arizona

 Stochastic linear programs are linear programs in which some of the problem data are random variables. The particular kind of programs that we study belong… (more)

Subjects/Keywords: Dissertations, Academic.; Operations research.; System theory.

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APA (6th Edition):

Lowe, W. W. (1994). An exploration of stochastic decomposition algorithms for stochastic linear programs with recourse. (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/186667

Chicago Manual of Style (16th Edition):

Lowe, Wing Wah. “An exploration of stochastic decomposition algorithms for stochastic linear programs with recourse. ” 1994. Doctoral Dissertation, University of Arizona. Accessed December 14, 2017. http://hdl.handle.net/10150/186667.

MLA Handbook (7th Edition):

Lowe, Wing Wah. “An exploration of stochastic decomposition algorithms for stochastic linear programs with recourse. ” 1994. Web. 14 Dec 2017.

Vancouver:

Lowe WW. An exploration of stochastic decomposition algorithms for stochastic linear programs with recourse. [Internet] [Doctoral dissertation]. University of Arizona; 1994. [cited 2017 Dec 14]. Available from: http://hdl.handle.net/10150/186667.

Council of Science Editors:

Lowe WW. An exploration of stochastic decomposition algorithms for stochastic linear programs with recourse. [Doctoral Dissertation]. University of Arizona; 1994. Available from: http://hdl.handle.net/10150/186667


University of Arizona

7. Van Voorhees, Franklin David. Competitive control in systems engineering.

Degree: 1995, University of Arizona

 The three main difficulties of the product development process are non-convexity, uncertainty, and multiobjectivity. Because of these problems, the product development process is characterized using… (more)

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APA (6th Edition):

Van Voorhees, F. D. (1995). Competitive control in systems engineering. (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/187143

Chicago Manual of Style (16th Edition):

Van Voorhees, Franklin David. “Competitive control in systems engineering. ” 1995. Doctoral Dissertation, University of Arizona. Accessed December 14, 2017. http://hdl.handle.net/10150/187143.

MLA Handbook (7th Edition):

Van Voorhees, Franklin David. “Competitive control in systems engineering. ” 1995. Web. 14 Dec 2017.

Vancouver:

Van Voorhees FD. Competitive control in systems engineering. [Internet] [Doctoral dissertation]. University of Arizona; 1995. [cited 2017 Dec 14]. Available from: http://hdl.handle.net/10150/187143.

Council of Science Editors:

Van Voorhees FD. Competitive control in systems engineering. [Doctoral Dissertation]. University of Arizona; 1995. Available from: http://hdl.handle.net/10150/187143


University of Arizona

8. Balkhair, Khaled Saeed. Artificial neural networks and conditional stochastic simulations for characterization of aquifer heterogeneity .

Degree: 1999, University of Arizona

 Although it is one of the most difficult tasks in hydrology, delineation of aquifer heterogeneity is essential for accurate simulation of groundwater flow and transport.… (more)

Subjects/Keywords: Applied Mechanics.; Hydrology.

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APA (6th Edition):

Balkhair, K. S. (1999). Artificial neural networks and conditional stochastic simulations for characterization of aquifer heterogeneity . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/284451

Chicago Manual of Style (16th Edition):

Balkhair, Khaled Saeed. “Artificial neural networks and conditional stochastic simulations for characterization of aquifer heterogeneity .” 1999. Doctoral Dissertation, University of Arizona. Accessed December 14, 2017. http://hdl.handle.net/10150/284451.

MLA Handbook (7th Edition):

Balkhair, Khaled Saeed. “Artificial neural networks and conditional stochastic simulations for characterization of aquifer heterogeneity .” 1999. Web. 14 Dec 2017.

Vancouver:

Balkhair KS. Artificial neural networks and conditional stochastic simulations for characterization of aquifer heterogeneity . [Internet] [Doctoral dissertation]. University of Arizona; 1999. [cited 2017 Dec 14]. Available from: http://hdl.handle.net/10150/284451.

Council of Science Editors:

Balkhair KS. Artificial neural networks and conditional stochastic simulations for characterization of aquifer heterogeneity . [Doctoral Dissertation]. University of Arizona; 1999. Available from: http://hdl.handle.net/10150/284451


University of Arizona

9. Ozelkan, Ertunga Cem, 1970-. Multi-objective fuzzy regression applied to the calibration of conceptual rainfall-runoff models .

Degree: 1997, University of Arizona

 The purpose of this research is (1) to develop a multi-objective fuzzy regression (MOFR) tool to overcome the shortcomings of the existing fuzzy regression approaches… (more)

Subjects/Keywords: Hydrology.; Engineering, System Science.

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APA (6th Edition):

Ozelkan, Ertunga Cem, 1. (1997). Multi-objective fuzzy regression applied to the calibration of conceptual rainfall-runoff models . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/282486

Chicago Manual of Style (16th Edition):

Ozelkan, Ertunga Cem, 1970-. “Multi-objective fuzzy regression applied to the calibration of conceptual rainfall-runoff models .” 1997. Doctoral Dissertation, University of Arizona. Accessed December 14, 2017. http://hdl.handle.net/10150/282486.

MLA Handbook (7th Edition):

Ozelkan, Ertunga Cem, 1970-. “Multi-objective fuzzy regression applied to the calibration of conceptual rainfall-runoff models .” 1997. Web. 14 Dec 2017.

Vancouver:

Ozelkan, Ertunga Cem 1. Multi-objective fuzzy regression applied to the calibration of conceptual rainfall-runoff models . [Internet] [Doctoral dissertation]. University of Arizona; 1997. [cited 2017 Dec 14]. Available from: http://hdl.handle.net/10150/282486.

Council of Science Editors:

Ozelkan, Ertunga Cem 1. Multi-objective fuzzy regression applied to the calibration of conceptual rainfall-runoff models . [Doctoral Dissertation]. University of Arizona; 1997. Available from: http://hdl.handle.net/10150/282486


University of Arizona

10. Gershon, Mark Elliot. MODEL CHOICE IN MULTIOBJECTIVE DECISION-MAKING IN NATURAL RESOURCE SYSTEMS .

Degree: 1981, University of Arizona

 The problem of model choice in multiobjective decision making, that is, the selection of the appropriate multiobjective solution technique to solve an arbitrary multiobjective decision… (more)

Subjects/Keywords: Decision making  – Mathematical models.; Natural resources  – Decision making.

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APA (6th Edition):

Gershon, M. E. (1981). MODEL CHOICE IN MULTIOBJECTIVE DECISION-MAKING IN NATURAL RESOURCE SYSTEMS . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/281947

Chicago Manual of Style (16th Edition):

Gershon, Mark Elliot. “MODEL CHOICE IN MULTIOBJECTIVE DECISION-MAKING IN NATURAL RESOURCE SYSTEMS .” 1981. Doctoral Dissertation, University of Arizona. Accessed December 14, 2017. http://hdl.handle.net/10150/281947.

MLA Handbook (7th Edition):

Gershon, Mark Elliot. “MODEL CHOICE IN MULTIOBJECTIVE DECISION-MAKING IN NATURAL RESOURCE SYSTEMS .” 1981. Web. 14 Dec 2017.

Vancouver:

Gershon ME. MODEL CHOICE IN MULTIOBJECTIVE DECISION-MAKING IN NATURAL RESOURCE SYSTEMS . [Internet] [Doctoral dissertation]. University of Arizona; 1981. [cited 2017 Dec 14]. Available from: http://hdl.handle.net/10150/281947.

Council of Science Editors:

Gershon ME. MODEL CHOICE IN MULTIOBJECTIVE DECISION-MAKING IN NATURAL RESOURCE SYSTEMS . [Doctoral Dissertation]. University of Arizona; 1981. Available from: http://hdl.handle.net/10150/281947


University of Arizona

11. Heidel, Karen Jean. Design of a consensus seeking allocation method .

Degree: 1992, University of Arizona

 An objective method for assisting decisions regarding allocation of resources, particularly public sector resources, was developed based on systems engineering principles. Systems engineering documents from… (more)

Subjects/Keywords: Dissertations, Academic.; Systems engineering.

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APA (6th Edition):

Heidel, K. J. (1992). Design of a consensus seeking allocation method . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/185827

Chicago Manual of Style (16th Edition):

Heidel, Karen Jean. “Design of a consensus seeking allocation method .” 1992. Doctoral Dissertation, University of Arizona. Accessed December 14, 2017. http://hdl.handle.net/10150/185827.

MLA Handbook (7th Edition):

Heidel, Karen Jean. “Design of a consensus seeking allocation method .” 1992. Web. 14 Dec 2017.

Vancouver:

Heidel KJ. Design of a consensus seeking allocation method . [Internet] [Doctoral dissertation]. University of Arizona; 1992. [cited 2017 Dec 14]. Available from: http://hdl.handle.net/10150/185827.

Council of Science Editors:

Heidel KJ. Design of a consensus seeking allocation method . [Doctoral Dissertation]. University of Arizona; 1992. Available from: http://hdl.handle.net/10150/185827


University of Arizona

12. ROBINSON, DAVID GERALD. MODELING RELIABILITY IMPROVEMENT DURING DESIGN (RELIABILITY GROWTH, BAYES, NON PARAMETRIC).

Degree: 1986, University of Arizona

 Past research into the phenomenon of reliability growth has emphasised modeling a major reliability characteristic in terms of a specific parametric function. In addition, the… (more)

Subjects/Keywords: Reliability (Engineering)  – Design.; Systems engineering.

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APA (6th Edition):

ROBINSON, D. G. (1986). MODELING RELIABILITY IMPROVEMENT DURING DESIGN (RELIABILITY GROWTH, BAYES, NON PARAMETRIC). (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/183971

Chicago Manual of Style (16th Edition):

ROBINSON, DAVID GERALD. “MODELING RELIABILITY IMPROVEMENT DURING DESIGN (RELIABILITY GROWTH, BAYES, NON PARAMETRIC). ” 1986. Doctoral Dissertation, University of Arizona. Accessed December 14, 2017. http://hdl.handle.net/10150/183971.

MLA Handbook (7th Edition):

ROBINSON, DAVID GERALD. “MODELING RELIABILITY IMPROVEMENT DURING DESIGN (RELIABILITY GROWTH, BAYES, NON PARAMETRIC). ” 1986. Web. 14 Dec 2017.

Vancouver:

ROBINSON DG. MODELING RELIABILITY IMPROVEMENT DURING DESIGN (RELIABILITY GROWTH, BAYES, NON PARAMETRIC). [Internet] [Doctoral dissertation]. University of Arizona; 1986. [cited 2017 Dec 14]. Available from: http://hdl.handle.net/10150/183971.

Council of Science Editors:

ROBINSON DG. MODELING RELIABILITY IMPROVEMENT DURING DESIGN (RELIABILITY GROWTH, BAYES, NON PARAMETRIC). [Doctoral Dissertation]. University of Arizona; 1986. Available from: http://hdl.handle.net/10150/183971


University of Arizona

13. Rakshit, Ananda. A framework for discrete-time dynamic programming with multiple objectives.

Degree: 1988, University of Arizona

 The investigation reported in this dissertation attempts to determine the feasibility of using a distance-based approach like compromise programming for discrete-time dynamic programming problems with… (more)

Subjects/Keywords: Dynamic programming.; Multiple criteria decision making.

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APA (6th Edition):

Rakshit, A. (1988). A framework for discrete-time dynamic programming with multiple objectives. (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/184553

Chicago Manual of Style (16th Edition):

Rakshit, Ananda. “A framework for discrete-time dynamic programming with multiple objectives. ” 1988. Doctoral Dissertation, University of Arizona. Accessed December 14, 2017. http://hdl.handle.net/10150/184553.

MLA Handbook (7th Edition):

Rakshit, Ananda. “A framework for discrete-time dynamic programming with multiple objectives. ” 1988. Web. 14 Dec 2017.

Vancouver:

Rakshit A. A framework for discrete-time dynamic programming with multiple objectives. [Internet] [Doctoral dissertation]. University of Arizona; 1988. [cited 2017 Dec 14]. Available from: http://hdl.handle.net/10150/184553.

Council of Science Editors:

Rakshit A. A framework for discrete-time dynamic programming with multiple objectives. [Doctoral Dissertation]. University of Arizona; 1988. Available from: http://hdl.handle.net/10150/184553

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