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A note on optimal allocations for the second elementary symmetric function with applications for optimal reliability design

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  • Chien‐Yu Peng

Abstract

This article considers the problem of determining the optimal size allocation and optimal number of experimental conditions for a second elementary symmetric function with different coefficients. Analytical solutions for several practical applications are derived and the general formulation is used to elucidate the foundation between different parametric models found in recent studies. A geometrical interpretation of the structure of some theoretical results is also provided. This approach renders some complex problems more tractable than what numerical search algorithms would allow. © 2012 Wiley Periodicals, Inc. Naval Research Logistics, 2012

Suggested Citation

  • Chien‐Yu Peng, 2012. "A note on optimal allocations for the second elementary symmetric function with applications for optimal reliability design," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(3‐4), pages 278-284, April.
  • Handle: RePEc:wly:navres:v:59:y:2012:i:3-4:p:278-284
    DOI: 10.1002/nav.21487
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    1. Ulrike Graßhoff & Rainer Schwabe, 2008. "Optimal design for the Bradley–Terry paired comparison model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(3), pages 275-289, July.
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    4. H. K. T. Ng & N. Balakrishnan & P. S. Chan, 2007. "Optimal sample size allocation for tests with multiple levels of stress with extreme value regression," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(3), pages 237-249, April.
    5. Patriksson, Michael, 2008. "A survey on the continuous nonlinear resource allocation problem," European Journal of Operational Research, Elsevier, vol. 185(1), pages 1-46, February.
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    1. I‐Chen Lee & Sheng‐Tsaing Tseng & Yili Hong, 2020. "Global planning of accelerated degradation tests based on exponential dispersion degradation models," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(6), pages 469-483, September.

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