Estimating the Parameters of the Generalized Exponential Distribution in Presence of Hybrid Censoring
By Debasis Kundu, Biswabrata Pradhan. 2009
132 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/08c01b3fa221d30032b3611093ffbfaa392b2b7b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Biswabrata Pradhan
- Debasis Kundu
- S. Dube
- Hare Krishna
- Narayanaswamy Balakrishnan
- Renu Garg
- Madhulika Dube
- Rao G. Srinivasa
In Statistics and Probability
- Biswabrata Pradhan
- Debasis Kundu
- S. Dube
- Sanku Dey
- Sajid Ali
- Rameshwar D. Gupta
- Narayanaswamy Balakrishnan
- Ahmed Z. Afify
Citations in the corpus
- Bayesian inference and life testing plans for generalized exponential distribution (2009, background): “It is observed in Pradhan and Kundu [15] that the GE distribution fits very well to the complete data in terms of Kolmogorov-Smirnov distance.”
- Parameter estimation of the hybrid censored log-normal distribution (2011, methodology): “For some of the relevant references on hybrid censoring and related topics, the readers are referred to Ebrahimi [7,8], Jeong et al. [9], Childs et al. [10], Kundu [11], Banerjee and Kundu [12], Kundu and Pradhan [13], and the references cited there.”