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Robust second-order rotatable invariably designs for some lifetime distributions

Author

Listed:
  • Jinseog Kim
  • Gaurab Bhattacharyya
  • Sabyasachi Mukherjee
  • Rabindra Nath Das

Abstract

First-order rotatable designs for the lifetime response with distributions such as lognormal, Weibull, gamma, and exponential, assuming autocorrelated errors have been studied. A first-order model in practice is an adequate approximation to the true unknown surface in a small region of the explanatory variables x’s. For an unknown experimental region or a system with any curvature, then the second-order model is always appropriate. It is aimed herein to extend the above ideas in the current paper for second-order models. Second-order lifetime correlated models along with rotatability conditions have been derived in the paper. Invariant (independent of the above considered four distributions) robust (independent of the correlation parameter values) second-order rotatable designs have been derived for the autocorrelated error structure. The derived designs in the paper are robust second-order rotatable for all values of the autocorrelation coefficient, and for all the above considered four lifetime distributions. The present derived designs in the paper satisfy four lifetime distributions with autocorrelated errors, while the usual uncorrelated second-order designs are unable to satisfy the similar conditions. In this sense, the current designs are most appropriate for lifetime improvement experiments.

Suggested Citation

  • Jinseog Kim & Gaurab Bhattacharyya & Sabyasachi Mukherjee & Rabindra Nath Das, 2023. "Robust second-order rotatable invariably designs for some lifetime distributions," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 52(9), pages 2819-2835, May.
  • Handle: RePEc:taf:lstaxx:v:52:y:2023:i:9:p:2819-2835
    DOI: 10.1080/03610926.2021.1961001
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