Statistical inference based on progressively censored samples with random removals from the Burr type XII distribution

By Shuo-jye Wu, Yi-Ju Chen, Chun-Tao Chang. 2007

83 citations recorded by the source corpus.

Subfields: Safety, Risk, Reliability and Quality, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/430bbbce0688627707a412930ac0db37f1f375b7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Safety, Risk, Reliability and Quality

1. Gauss Moutinho Cordeiro
2. Edwin M. M. Ortega
3. Marcelino A. R. Pascoa
4. Patrícia F. Paranaíba
5. Rodrigo B. Silva

In Statistics and Probability

1. Gauss Moutinho Cordeiro
2. Edwin M. M. Ortega
3. Marcelino A. R. Pascoa
4. Haitham M. Yousof
5. Patrícia F. Paranaíba
6. G. Hamedani
7. Morad Alizadeh
8. Rodrigo B. Silva

Citations in the corpus

• The Kumaraswamy Burr XII distribution: theory and practice (2013, background): “[5] studied the estimation problems under progressive type II censoring with random removals, where the number of units removed at each failure time has a discrete uniform distribution and Silva et al.”
• The Burr XII power series distributions: A new compounding family (2015, methodology): “For this model, Wu et al. (2007) examined the estimation problems under progressive type II censoring with random removals, where the number of units removed at each failure time has a discrete uniform distribution and Silva et al. (2008) proposed the log-Burr XII location-scale regression model as…”