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Nonparametric Statistical Methods, 2nd, Ed.
Abstract
"Nonparametric Statistical Methods, 2nd, Ed.." Journal of Quality Technology, 33(2), p. 259
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Citations
Cited by
Use of proteomic patterns in serum to identify ovarian cancer
Petricoin, E. F., Ardekani, A. M., Hitt, B. A., Levine, P. J., Fusaro, V. A., Steinberg, S. M., Mills, G. B., Simone, C., Fishman, D. A., Kohn, E. C., et al. (2002) · The Lancet · doi:10.1016/s0140-6736(02)07746-2 · Cited by 3,236
Guidelines for the Design and Statistical Analysis of Experiments Using Laboratory Animals
Festing, M. F. W., & Altman, D. G. (2002) · ILAR Journal · doi:10.1093/ilar.43.4.244 · Cited by 1,110
Overview of Friedman’s test and post-hoc analysis
Pereira, D. G., Afonso, A., & Medeiros, F. M. (2015) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610918.2014.931971 · Cited by 585
Nucleosomes are well positioned in exons and carry characteristic histone modifications
Andersson, R., Enroth, S., Rada-Iglesias, A., Wadelius, C., & Komorowski, J. (2009) · Genome Research · doi:10.1101/gr.092353.109 · Cited by 325
Applications of Connectivity Map in drug discovery and development
Qu, X. A., & Rajpal, D. K. (2012) · Drug Discovery Today · doi:10.1016/j.drudis.2012.07.017 · Cited by 235
Metadata
- Authors
- Borror, C. M.
- Venue
- Journal of Quality Technology
- Publisher
- Informa UK Limited
- Published
- 2001-04
- Volume
- 33
- Issue
- 2
- Pages
- 259-259
- ISSN
- 0022-4065 (ISSN-L)
- 2575-6230
- OpenAlex
- W2792932704
- Cited by
- 874
- References
- 0
- FWCI
- 35.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Nonparametric Statistical Methods, 2nd, Ed. https://app.cochat.ai/papers/10.1080/00224065.2001.11980073
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- Borror, C. M. (2001). Nonparametric Statistical Methods, 2nd, Ed. Journal of Quality Technology. https://doi.org/10.1080/00224065.2001.11980073
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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.
