On optimality of extremal schemes in progressive type II censoring
By Marco Burkschat. 2008
54 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/3d0add77e6e4217bef248562bf931eb1bb771daf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- George Iliopoulos
- Hon Keung Tony Ng
- Ping Shing Chan
- Debasis Kundu
- Erhard Cramer
- Narayanaswamy Balakrishnan
- Biswabrata Pradhan
- Rameshwar D. Gupta
Citations in the corpus
- Bayesian analysis of progressively censored competing risks data (2011, unknown): “[6], Burkschat [7], Burkschat et al.”
- Statistical analysis of exponential lifetimes under an adaptive Type‐II progressive censoring scheme (2009, background): “As noted by Burkschat [7] and Ng, Chan and Balakrishnan [20], it is expected that a progressive censoring plan has a longer test duration than a single (conventional Type-II) censoring plan in return for the gain in efficiency.”
- Adaptive progressive Type-II censoring (2010, background): “From an experimental design point of view, this approach may be interesting in the sense of finding an initially optimal scheme (see Balakrishnan 2007, Burkschat et al. 2006, Burkschat 2008, Balakrishnan et al. 2008).”
- Inference and optimal censoring schemes for progressively censored Birnbaum–Saunders distribution (2013, unknown): “(10) It can be easily verified that (9) coincides with (2) when μ = β and λ = β/α(2).”