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Pitfalls in simulation-based evaluation of forecast monitoring schemes

, and . International Journal of Forecasting, 4 (4): 573--579 (1988)

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Easily Testable Cellular Realizations for the (Exactly P)-out-of n and (p or More)-out-of n Logic Functions., and . IEEE Trans. Computers, 23 (1): 98-100 (1974)Sequential estimation of steady-State quantiles: Lessons Learned and Future Directions., , , and . WSC, page 1814-1825. IEEE, (2018)Sequential Estimation of Steady-State Quantiles: Some New Developments in Methods and Software., , , and . WSC, page 3774-3785. IEEE, (2019)ASAP3: a batch means procedure for steady-state simulation analysis., , , , , and . ACM Trans. Model. Comput. Simul., 15 (1): 39-73 (2005)Automated Estimation of Extreme Steady-State Quantiles via the Maximum Transformation., , , and . ACM Trans. Model. Comput. Simul., 27 (4): 22 (2017)Modeling input processes with Johnson distributions., , , , and . WSC, page 308-318. ACM Press, (1989)Sequem: estimating extreme steady-state quantiles via the maximum transformation., , , , and . WSC, page 562-574. IEEE/ACM, (2015)A sequential procedure for estimating the steady-state mean using standardized time series., , , and . WSC, page 613-622. IEEE, (2013)Simulation output analysis: a wavelet-based spectral method for steady-state simulation analysis., , and . WSC, page 422-430. IEEE Computer Society, (2003)Comparison methods for fitting data using Johnson translation distributions., , , and . WSC, page 476-481. ACM, (1988)