The DOI matches its Crossref record.
Order Statistics
Abstract
This volume provides an up-to-date coverage of the theory and applications of ordered random variables and their functions. Furthermore, it develops the distribution theory of OS systematically. Applications include procedures for the treatment of outliers and other data analysis techniques. Even when chapter and section headings are the same as in OSII, there are appreciable changes, mostly additions, with some obvious deletions. Parts of old Ch. 7, for example, are prime candidates for omission. Appendices are designed to help collate tables, computer algorithms, and software, as well as to compile related monographs on the subject matter. Extensive exercise sets will continue, many of them replaced by newer ones.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This phenomenon is well-studied in the theory of order statistics (see Arnold et al. (1992); David & Nagaraja (2003)).”
From The Leaderboard Illusion (2025) · cites this paper as David & Nagaraja (2003)
Citations
Cited by
Wan, X., Wang, W., Liu, J., & Tong, T. (2014) · BMC Medical Research Methodology · doi:10.1186/1471-2288-14-135 · Cited by 11,735
The Application of MIMO to Non-Orthogonal Multiple Access
Ding, Z., Adachi, F., & Poor, H. V. (2016) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2015.2475746 · Cited by 894
Performance Evaluation of Non-Orthogonal Multiple Access in Visible Light Communication
Yin, L., Popoola, W. O., Wu, X., & Haas, H. (2016) · IEEE Transactions on Communications · doi:10.1109/tcomm.2016.2612195 · Cited by 389
Nonorthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks
Liu, Y., Ding, Z., Elkashlan, M., & Yuan, J. (2016) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2016.2524694 · Cited by 382
Visual Importance Pooling for Image Quality Assessment
Moorthy, A. K., & Bovik, A. C. (2009) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2009.2015374 · Cited by 340
Metadata
- Authors
- David, H. A., & Nagaraja, H. N.
- Venue
- Wiley Series in Probability and Statistics
- Publisher
- Wiley
- Published
- 2003-07-21
- ISSN
- 1940-6347
- Cited by
- 2,370
- References
- 0
- Language
- en
- Licence
- doi.wiley.com/10.1002/tdm_license_1.1 (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Order Statistics. https://app.cochat.ai/papers/10.1002/0471722162
- The paper
- David, H. A., & Nagaraja, H. N. (2003). Order Statistics. Wiley Series in Probability and Statistics. https://doi.org/10.1002/0471722162
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
