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A coverage function for interval estimators of simulation response

Schruben, Lee W. - In: Management science : journal of the Institute for … 26 (1980) 1, pp. 18-27

Persistent link: https://www.econbiz.de/10003677025

Detecting initialization bias in simulation output

Schruben, Lee W. - In: Operations research 30 (1982) 3, pp. 569-590

Persistent link: https://www.econbiz.de/10003677034

Impact of information technology on supply chain management

Yücesan, Enver - In: Trends in supply chain design and management : …, (pp. 127-148). 2007

Persistent link: https://www.econbiz.de/10003452624

Properties of standardized time series weighted area variance estimators

Goldsman, David Morris - In: Management science : journal of the Institute for … 36 (1990) 5, pp. 602-612

Persistent link: https://www.econbiz.de/10001087170

Techniques for simulation response optimization

Jacobson, Sheldon H. - In: Operations research letters 8 (1989) 1, pp. 1-9

Persistent link: https://www.econbiz.de/10001067451

Finite-sample performance of absolute precision stopping rules

Singham, Dashi I.; Schruben, Lee W. - In: INFORMS journal on computing : JOC 24 (2012) 4, pp. 624-635

Persistent link: https://www.econbiz.de/10010219626

Reply to Fox

Schruben, Lee W. - In: Management Science 24 (1978) 8, pp. 862-862

A reply to Fox, Bennett. 1978. Estimation and simulation. Management Sci. 24(8, April) 860-861.

Persistent link: https://www.econbiz.de/10009218301

A Coverage Function for Interval Estimators of Simulation Response

Schruben, Lee W. - In: Management Science 26 (1980) 1, pp. 18-27

The coverage function presented here measures confidence interval robustness. It is suggested that this function be used in the analysis of empirical interval estimator studies. Some approaches for determining appropriate sample sizes in such experiments are also discussed. A short study of two...

Persistent link: https://www.econbiz.de/10009204606

Simulation Factor Screening Using Harmonic Analysis

Morrice, Douglas J.; Schruben, Lee W. - In: Management Science 39 (1993) 12, pp. 1459-1476

In this paper, we provide a quantitative approach to Frequency Domain Methodology (FDM) using harmonic analysis. For a certain class of metamodels, we give the frequency domain hypothesis and develop the corresponding hypothesis test. Minimum simulation model run length information for FDM is...

Persistent link: https://www.econbiz.de/10009208510

A Survey of Recent Advances in Discrete Input Parameter Discrete-Event Simulation Optimization

Swisher, James R.; Hyden, Paul D.; Jacobson, Sheldon H.; … - In: IIE transactions / Institute of Industrial Engineers, … 36 (2004) 6, pp. 591

Persistent link: https://www.econbiz.de/10006165716