Computational aspects of statistical intervals based on two Type-II censored samples-Reference-Cited by-同舟云学术

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Computational aspects of statistical intervals based on two Type-II censored samples

Published:2012-06-07 Issue:3 Volume:28 Page:893-917
ISSN:0943-4062
Container-title:Computational Statistics
language:en
Short-container-title:Comput Stat

Author:

Balakrishnan N.,Beutner E.,Cramer E.

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s00180-012-0335-z.pdf

Reference13 articles.

1. Arnold BC, Balakrishnan N, Nagaraja HN (1992) A first course in order statistics. Wiley, New York

2. Balakrishnan N (2007) Progressive censoring methodology: an appraisal (with discussions). Test 16: 211–296

3. Balakrishnan N, Aggarwala R (2000) Progressive censoring: theory, methods, and applications. Birkhäuser, Boston

4. Balakrishnan N, Beutner E, Cramer E (2010) Exact two-sample non-parametric confidence, prediction, and tolerance intervals based on ordinary and progressively Type-II right censored data. Test 19:68–91

5. Beutner E, Cramer E (2010) Nonparametric meta-analysis for minimal-repair systems. Aust N Z J Stat 52:383–401

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3. Optimal Non-Parametric Prediction Intervals for Order Statistics with Random Sample Size;IRAN J MANAG STUD;2018

4. Estimation and Prediction for an Exponential Form Distribution Based on Combined Type-II Censored Samples;Bulletin of the Malaysian Mathematical Sciences Society;2017-11-27

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