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Measuring the Goodness of Orthogonal Array Discretizations for Stochastic Programming and Stochastic Dynamic Programming
10 references·0 citing·36 second hop
Measuring the Goodness of Orthogonal Array Discretizations for Stochastic Programming and Stochastic Dynamic Programming (2002)Measuring the Goodness of Orthogonal Arra…Design and Analysis of Experiments (1999)Design and Analysis of Experi…Applying Experimental Design and Regression Splines to High-Dimensional Continuous-State Stochastic Dynamic Programming (1999)Applying Experimental Design …Introduction to Stochastic Programming (1998)Introduction to Stochastic Pr…An Efficient Sampling Technique for Off-Line Quality Control (1997)An Efficient Sampling Techniq…Orthogonal Array-Based Latin Hypercubes (1993)Orthogonal Array-Based Latin …Minimax and maximin distance designs (1990)Minimax and maximin distance …Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Further Real Applications of Markov Decision Processes (1988)Further Real Applications of …Linear Programming under Uncertainty (1955)Linear Programming under Unce…Orthogonal Arrays of Strength two and three (1952)Orthogonal Arrays of Strength…THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Orthogonal Column Latin Hypercubes and Their Application in Computer Experiments (1998)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Algorithmic construction of optimal symmetric Latin hypercube designs (2000)An efficient algorithm for constructing optimal design of computer experiments (2004)Small sample sensitivity analysis techniques for computer models.with an application to risk assessment (1980)Uncertainty (1990)Taguchi's Parameter Design: A Panel Discussion (1992)Analysis of Computer Experiments Using Penalized Likelihood in Gaussian Kriging Models (2005)A review on design, modeling and applications of computer experiments (2006)Monte Carlo sampling-based methods for stochastic optimization (2014)Factorial Experiments Derivable from Combinatorial Arrangements of Arrays (1947)On the Design of Choice Experiments Involving Multifactor Alternatives (1974)Taguchi's orthogonal arrays are classical designs of experiments (1991)Booking policy for flights with two types of passengers (1986)Ch. 7. A review of design and modeling in computer experiments (2003)Modelling the profitability of credit cards by Markov decision processes (2011)Integrated capacity planning over highly volatile horizons (2012)Analysis of Inventory Systems. (1964)MODELING THE EVOLUTION OF DEMAND FORECASTS ITH APPLICATION TO SAFETY STOCK ANALYSIS IN PRODUCTION/DISTRIBUTION SYSTEMS (1994)Solving for an Optimal Airline Yield Management Policy via Statistical Learning (2003)Sequential Design for Optimal Stopping Problems (2015)Ambulance location and relocation models (2003)Stochastic Programming Models (2003)A two-stage stochastic programming framework for transportation planning in disaster response (2004)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Exploratory designs for computational experiments (1995)Response Surface Methodology: A Retrospective and Literature Survey (2004)Monte Carlo bounding techniques for determining solution quality in stochastic programs (1999)Optimization under uncertainty: state-of-the-art and opportunities (2003)Fundamental Concepts in the Design of Experiments (2000)Application of Factorial and Response Surface Methodology in Modern Experimental Design and Optimization (2006)A tutorial on the statistical analysis of factorial experiments with qualitative and quantitative treatment factor levels (2018)
this work references cited by second hop

References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 1998Introduction to Stochastic Programming1,664 cited
  • 1990Minimax and maximin distance designs1,452 cited
  • 1955Linear Programming under Uncertainty1,227 cited
  • 1993Orthogonal Array-Based Latin Hypercubes859 cited
  • 1999Design and Analysis of Experiments493 cited
  • 1997An Efficient Sampling Technique for Off-Line Quality Control326 cited
  • 1952Orthogonal Arrays of Strength two and three323 cited
  • 1999Applying Experimental Design and Regression Splines to High-Dimensional Continuous-State Stochastic Dynamic Programming149 cited
  • 1988Further Real Applications of Markov Decision Processes80 cited

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