The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Exploring Data Tables, Trends, and Shapes
Abstract
WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. Data Tables, Trends, and Shapes (EDTTS) was written as a companion volume to the same editors' book, Understanding Robust and Exploratory Data Analysis (UREDA). Whereas UREDA is a collection of exploratory and resistant methods of estimation and display, EDTTS goes a step further, describing multivariate and more complicated techniques ...I feel that the authors have made a very significant contribution in the area of multivariate nonparametric methods. book [is] a valuable source of reference to researchers in the area. -Technometrics This edited volume ...provides an important theoretical and philosophical extension to the currently popular statistical area of Exploratory Data Analysis, which seeks to reveal structure, or simple descriptions, in data ...It is ...an important reference volume which any statistical library should consider seriously. -The Statistician newly available and affordably priced paperback version of Exploring Data Tables, Trends, and Shapes presents major advances in exploratory data analysis and robust regression methods and explains the techniques, relating them to classical methods. The book addresses the role of exploratory and robust techniques in the overall data-analytic enterprise, and it also presents new methods such as fitting by organized comparisons using the square combining table and identifying extreme cells in a sizable contingency table with probabilistic and exploratory approaches. The book features a chapter on using robust regression in less technical language than available elsewhere. Conceptual support for each technique is also provided.
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Citations
Cites
An Introduction to Multivariate Statistical Analysis
Muirhead, R. J., & Anderson, T. W. (1986) · Journal of Business & Economic Statistics · doi:10.2307/1391399 · Cited by 9,082
Introduction to Multivariate Statistical Analysis.
Madow, W. G., & Anderson, T. W. (1959) · The American Mathematical Monthly · doi:10.2307/2308777 · Cited by 3,878
Understanding robust and exploratory data analysis
Hoaglin, D. C., Mosteller, F. C., & Tukey, J. W. (1983) · Wiley eBooks · Cited by 1,906
A Class of Statistics with Asymptotically Normal Distribution
Hoeffding, W. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-0919-5_20 · Cited by 1,851
Nonparametric Methods in Multivariate Analysis
Dunn, O. J. (1972) · Technometrics · doi:10.1080/00401706.1972.10488934 · Cited by 877
Asymptotic Normality of Simple Linear Rank Statistics Under Alternatives II
Dupac, V., & Hajek, J. (1969) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177697281 · Cited by 240
Cited by
Assessment and Propagation of Model Uncertainty
Draper, D. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02015.x · Cited by 1,599
Comparing meta-analytic moderator estimation techniques under realistic conditions.
Steel, P. D., & Kammeyer-Mueller, J. D. (2002) · Journal of Applied Psychology · doi:10.1037/0021-9010.87.1.96 · Cited by 309
Liukkonen, T., Räsänen, P., Ruokonen, A., Laitinen, J., Jokelainen, J., Leinonen, M., Meyer-Rochow, V. B., & Timonen, M. (2007) · Psychosomatic Medicine · doi:10.1097/psy.0b013e318157cb96 · Cited by 83
Parapsychology is science, but its findings are inconclusive
Akers, C. (1987) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00054480 · Cited by 11
Metadata
- Authors
- Thode, H. C.
- Venue
- Technometrics
- Publisher
- Informa UK Limited
- Published
- 1986-11
- Volume
- 28
- Issue
- 4
- Pages
- 399-400
- ISSN
- 0040-1706 (ISSN-L)
- 1537-2723
- OpenAlex
- W2271304927
- Cited by
- 328
- References
- 6
- FWCI
- 16.87
- Type
- journal article
- Language
- en
- Open access
- closed
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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.