caa a22 4500 445822791 CHVBK 20180317145249.0 cr unu---uuuuu 170323e20110601xx s 000 0 eng 10.1007/s10626-010-0091-6 doi (NATIONALLICENCE)springer-10.1007/s10626-010-0091-6 Chen E. BASF Corporation, 333 Mount Hope Avenue, 07866-0909, Rockaway, NJ, USA aut An enhanced lognormal selection procedure [Elektronische Daten] [E. Chen] John and Chen (IEEE Trans Reliab 55(1):135-148, 2006) propose an exact two-stage solution based on the Least Favorable Configuration (LFC) to the ranking and selection problem of determining the best system from k lognormal populations. Lognormal density is commonly used to model certain lifetimes in reliability and survival analysis. It is known that selection procedures that are developed based on the LFC are conservative and become inefficient when the number of systems is large. We propose to take into account the differences of sample values within the parameter of interest when determining sample sizes, which can significantly increase the efficiency of the selection procedures. We also sequentialize the selection procedure and provide a procedure for estimating the constant needed to apply the solution. An experimental performance evaluation demonstrates the validity and efficiency of the enhanced lognormal selection procedure. Springer Science+Business Media, LLC, 2010 Simulation nationallicence Lognormal selection nationallicence Ranking and selection nationallicence Indifference-zone selection nationallicence Discrete Event Dynamic Systems Springer US; http://www.springer-ny.com 21/2(2011-06-01), 205-218 0924-6703 21:2<205 2011 21 10626 https://doi.org/10.1007/s10626-010-0091-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10626-010-0091-6 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Chen E. BASF Corporation, 333 Mount Hope Avenue, 07866-0909, Rockaway, NJ, USA aut NATIONALLICENCE 773 0- Discrete Event Dynamic Systems Springer US; http://www.springer-ny.com 21/2(2011-06-01), 205-218 0924-6703 21:2<205 2011 21 10626 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer