Hostname: page-component-745bb68f8f-grxwn Total loading time: 0 Render date: 2025-01-10T20:47:14.906Z Has data issue: false hasContentIssue false
  • English
  • Français

COMMENTS ON THE SURVEY BY BALAKRISHNAN AND ZHAO

Published online by Cambridge University Press:  13 August 2013

Marco Burkschat
Marco Burkschat*
Affiliation:
RWTH Aachen University, Institute of Statistics, D-52056 Aachen, Germany E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Extract

At first, I would like to thank the authors for giving the detailed survey on the current state of stochastic orderings of order statistics from heterogeneous populations. Their review illustrates the fast development of research in this area during the recent years, in particular including many important contributions by the authors themselves. Besides the concrete open problems given in the different sections of the review, the following general topics may be also of interest for further studies.

Type
Research Article
Information
Probability in the Engineering and Informational Sciences , Volume 27 , Issue 4 , October 2013 , pp. 465 - 466
Copyright
Copyright © Cambridge University Press 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Balakrishnan, N. (2007). Progressive censoring methodology: An appraisal (with Discussion). TEST 16: 211–259.CrossRefGoogle Scholar
2.Balakrishnan, N. & Cramer, E. (2008). Progressive censoring from heterogeneous distributions with applications to robustness. Annals of the Institute of Statistical Mathematics 60: 151–171.CrossRefGoogle Scholar
3.Fischer, T., Balakrishnan, N. & Cramer, E. (2008). Mixture representation for order statistics from INID progressive censoring and its applications. Journal of Multivariate Analysis 99: 1999–2015.CrossRefGoogle Scholar
4.Marshall, A. W. & Olkin, I. (2007). Life distributions. New York: Springer.Google Scholar