Failure probability estimation with differently sized reference products for semiconductor burn-in studies
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Publication:6574671
DOI10.1002/asmb.2100MaRDI QIDQ6574671
Horst Lewitschnig, Jürgen Pilz, Daniel Kurz
Publication date: 18 July 2024
Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)
Cites Work
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- Bayesian reliability
- Interval estimation for a binomial proportion. (With comments and a rejoinder).
- Confidence intervals for a binomial proportion and asymptotic expansions
- The use of confidence of fiducial limits illustrated in the case of the binomial.
- Decision Theory
- On Prior Distributions for Binary Trials
- On Optimality Properties of the Power Prior
- Data analytics and stochastic modeling in a semiconductor fab
- Robust statistical modeling using the Birnbaum‐Saunders‐t distribution applied to insurance
- Constructions and applications of lifetime distributions
- Bounds to optimal burn-in and optimal work size
- Diagnostics in Birnbaum-Saunders accelerated life models with an application to fatigue data
- Industrial statistics applications in the semiconductor industry: some examples
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