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Design and Analysis of Industrial Experiments.
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Design and Analysis of Industrial Experiments. (1959)Design and Analysis of Industrial Experim…Single Run Optimization of Discrete Event Simulations—An Empirical Study Using the M/M/l Queue (1989)Single Run Optimization of Di…An approximate method for computation of probability intervals for the top-event probability of fault trees (1982)An approximate method for com…Use of Response Surface Methodology for the Rapid Optimization of Microbiological Media (1977)Use of Response Surface Metho…Simplex Optimization of Experimental Factors in Atomic Absorption Spectrometry (1975)Simplex Optimization of Exper…Fractional Factorial Experimental Designs in Marketing Research (1973)Fractional Factorial Experime…Computer Simulation Experiments with Economic Systems: The Problem of Experimental Design (1967)Computer Simulation Experimen…Comparisons of Designs and Estimation Procedures for Estimating Parameters in a Two-Stage Nested Process (1967)Comparisons of Designs and Es…Design of computer simulation experiments for industrial systems (1966)Design of computer simulation…Sequences of Fractional Replicates in the 2 p – q Series (1962)Sequences of Fractional Repli…Design and Analysis of Industrial Experiments. (1955)Designs for Variance Components Estimation: Past and Present (2000)On the Experimental Attainment of Optimum Conditions (1951)Results on Factorial Designs of Resolution IV for the 2 n and 2 n 3 m Series (1969)On the Experimental Attainment of Optimum Conditions (1992)Semifolding 2k–PDesigns (2000)A Strategy of Searching Active Factors in Supersaturated Screening Experiments (2004)Design of Experiments (1936)Statistical principles in experimental design. (1962)A Behavioral Theory of the Firm (1963)Spectral Analysis of Data Generated by Simulation Experiments with Econometric Models (1969)Statistical analysis of simulation output data (1977)Market Structure and Inefficiency in the Foreign Exchange Market (1991)Sequential Application of Simplex Designs in Optimisation and Evolutionary Operation (1962)Selection and preprocessing of factors for simplex optimization (1974)Simplex optimization of analytical chemical methods (1974)A Stochastic Approximation Method (1951)Stochastic Estimation of the Maximum of a Regression Function (1952)Operations Research -- An Introduction (1980)Convergence of a stochastic approximation algorithm for the GI/G/1 queue using infinitesimal perturbation analysis (1990)On-Line Optimization of Simulated Markovian Processes (1990)Optimization of static simulation models by the score function method (1990)Methods for the estimation of confidence bounds for the top-event unavailability of fault trees (1977)Planning of Experiments (1958)Taxonomic Analysis of Perceived Risk: Modeling Individual and Group Perceptions Within Homogeneous Hazard Domains (1988)Hybrid Conjoint Analysis as a Research Technique to Measure Meeting Planners' Preferences in Hotel Selection (1996)Fundamental Concepts in the Design of Experiments (2000)Experimental design on the front lines of marketing: Testing new ideas to increase direct mail sales (2006)Second-order response surface designs in computer simulation (1975)Simulation: A Survey with Research Suggestions (1975)
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Cited by

  • 1989Single Run Optimization of Discrete Event Simulations—An Empirical Study Using the M/M/l Queue89 cited
  • 1977Use of Response Surface Methodology for the Rapid Optimization of Microbiological Media82 cited
  • 1967Computer Simulation Experiments with Economic Systems: The Problem of Experimental Design60 cited
  • 1962Sequences of Fractional Replicates in the 2 p – q Series51 cited
  • 1973Fractional Factorial Experimental Designs in Marketing Research50 cited
  • 1966Design of computer simulation experiments for industrial systems45 cited
  • 1967Comparisons of Designs and Estimation Procedures for Estimating Parameters in a Two-Stage Nested Process43 cited
  • 1975Simplex Optimization of Experimental Factors in Atomic Absorption Spectrometry34 cited
  • 1982An approximate method for computation of probability intervals for the top-event probability of fault trees10 cited

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