caa a22 4500 386350299 CHVBK 20180307111827.0 cr unu---uuuuu 161130e198907 xx s 000 0 eng 10.1017/S0269964800001170 doi S0269964800001170 pii (NATIONALLICENCE)cambridge-10.1017/S0269964800001170 Replication Schemes For Limiting Expectations [Elektronische Daten] We show that natural estimators occurring in certain simulation settings have convergence rates less than the canonical rate usually associated with simulation. These natural estimators use replication schemes that attenuate bias. For some important examples, we find alternative estimators that converge at the canonical rate. The implications of these asymptotic comparisons for choosing good strategies when the computer-time budget is modest are discussed. Copyright © Cambridge University Press 1989 Fox Bennett L. Department of Mathematics University of Colorado Denver, Colorado 80204 Glynn Peter W. Department of Operations Research Stanford University Stanford, California 94305-4022 Probability in the Engineering and Informational Sciences Cambridge University Press 3/3(1989-07), 299-318 0269-9648 3:3<299 1989 3 PES https://doi.org/10.1017/S0269964800001170 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1017/S0269964800001170 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Fox Bennett L. Department of Mathematics University of Colorado Denver, Colorado 80204 NATIONALLICENCE 700 1- Glynn Peter W. Department of Operations Research Stanford University Stanford, California 94305-4022 NATIONALLICENCE 773 0- Probability in the Engineering and Informational Sciences Cambridge University Press 3/3(1989-07), 299-318 0269-9648 3:3<299 1989 3 PES CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-cambridge