The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Goodness-of-Fit Techniques
Abstract
comprehensive book, well presented and clearly written. The New Zealand Statistician Chapters contain some theory but they are mainly directed toward application with some numerical illustrations which generally use simulated sets to be found in AppendixThe level of exposition is generally clear and directthe book should prove useful to practising statisticians. Short Book Reviews (International Statistical Institute) the authors have carried out helpful task of bringing together into a useful reference volume a large amount of material on an interesting topic which has previously been scattered throughout literature. Royal Statistical Society
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Cites
Hawkins, D. M. (1980) · doi:10.1007/978-94-015-3994-4 · Cited by 2,982
Cited by
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Delignette-Muller, M. L., & Dutang, C. (2015) · Journal of Statistical Software · doi:10.18637/jss.v064.i04 · Cited by 2,383
A Suggestion for Using Powerful and Informative Tests of Normality
D'agostino, R. B., Belanger, A., & D'agostino, R. B. (1990) · The American Statistician · doi:10.2307/2684359 · Cited by 1,809
Self-citationModern robust statistical methods: An easy way to maximize the accuracy and power of your research.
Erceg-Hurn, D. M., & Mirosevich, V. M. (2008) · American Psychologist · doi:10.1037/0003-066x.63.7.591 · Cited by 959
Comparisons of various types of normality tests
Yap, B. W., & Sim, C. H. (2011) · Journal of Statistical Computation and Simulation · doi:10.1080/00949655.2010.520163 · Cited by 897
Johnson, E. A., & Gutsell, S. L. (1994) · Advances in Ecological Research · doi:10.1016/s0065-2504(08)60216-0 · Cited by 414
Metadata
- Authors
- King, T.
- Venue
- Technometrics
- Publisher
- Informa UK Limited
- Published
- 1987-11
- Volume
- 29
- Issue
- 4
- Pages
- 493-493
- ISSN
- 0040-1706 (ISSN-L)
- 1537-2723
- OpenAlex
- W2084719311
- Cited by
- 1,859
- References
- 1
- FWCI
- 20.82
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
