On optimal schemes in progressive censoring
By Marco Burkschat, Erhard Cramer, Udo Kamps. 2006
70 citations recorded by the source corpus.
Subfields: Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f7da3f013d3142ad8d7b60cb4b3af593cdf3bc58
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
In Statistics and Probability
- Erhard Cramer
- Udo Kamps
- Marco Burkschat
- Narayanaswamy Balakrishnan
- M. Maswadah
- George Iliopoulos
- Debasis Kundu
- Zeinhum F. Jaheen
Citations in the corpus
- Optimality Criteria and Optimal Schemes in Progressive Censoring (2007, background): “By applying the arguments given in Burkschat et al. (2006), an important consequence results.”
- Adaptive progressive Type-II censoring (2010, unknown): “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).”
- Bayesian analysis of progressively censored competing risks data (2011, unknown): “[8] and the references cited therein.”
- Inference and optimal censoring schemes for progressively censored Birnbaum–Saunders distribution (2013, unknown): “(11) In Type-II progressive censoring experiment, m and {R1, · · · , Rm} are pre-specified.”