The Behavior of Several Measures of Burn-In Reliability When Weak Components are Present

  • Kim, Kuinam J. (Department of Computer Science and Engineering, Kwandong University) ;
  • Thomas J. Boardman (Department of Statistics, Colorado State University)
  • Published : 1999.12.01

Abstract

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References

  1. Communications in Statistics v.8 no.5 Estimation in the Piece-Wise Constant Harzard Rate Model When The Data are Grouped Board, T. J.;Colvert, R. E.
  2. Opsearch v.14 Optimal Policies for Burn-In Procedures Chandrasekaran, R.
  3. IEEE Transaction on Reliability v.37 no.5 Modeling Discrete Bathtub and Upside-Down Bathtub Mean Residual life Function Guess, F.M.;Park, D. H.
  4. Microelectronics and Reliability v.32 no.6 Burn-In to Improve Which Measure of Reliability? Guess, F. M.;Walker, E.;Gallant, D.
  5. Burn-in: An Engineering Approach to The Design and Analysis of Burn-In Procedures Jensen, F.;Petersen, N. E.
  6. Technometerics v.1 A Graphical Estimation of Mixed Weibull Parameters in Life Testing of Eletron Tubes Kao, J. H. K.
  7. IEEE Transaction on Reliability v.34 Effect of Burn-In on Mean Residual Life Park, K. S.
  8. 16 th Annual Proceeding Reliability Physics Symposium Semiconductor Compoenent Reliability in an Equipment Operating in Electromechanical Telephone Exchange Reynolds, F. H.;Stevens, J. W.
  9. IEEE Transactions on Reliability v.24 Microcircuit Accelerated Testing Using High Temperature Operation Tests Stitch, M.;Johnson, G. M.Kirk, B. P.;Brauer, J. B.