The DOI matches its Crossref record.
An Introduction to Regression Graphics
Abstract
Covers the use of dynamic and interactive computer graphics in linear regression analysis, focusing on analytical graphics. Features new techniques like plot rotation. The authors have composed their own regression code, using Xlisp-Stat language called R-code, which is a nearly complete system for linear regression analysis and can be utilized as the main computer program in a linear regression course. The accompanying disks, for both Macintosh and Windows computers, contain the R-code and Xlisp-Stat. An Instructor's Manual presenting detailed solutions to all the problems in the book is ava
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Citations
Cited by
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Christopher Frey, H., & Patil, S. R. (2002) · Risk Analysis · doi:10.1111/0272-4332.00039 · Cited by 1,036
Let's put garbage-can regressions and garbage-can probits where they belong
Achen, C. H. (2005) · Conflict Management and Peace Science · doi:10.1080/07388940500339167 · Cited by 576
Handling drop‐out in longitudinal studies
Hogan, J. W., Roy, J., & Korkontzelou, C. (2004) · Statistics in Medicine · doi:10.1002/sim.1728 · Cited by 404
Metadata
- Authors
- Cook, R. D., & Weisberg, S.
- Venue
- Wiley Series in Probability and Statistics
- Publisher
- Wiley
- Published
- 1994-07-28
- ISSN
- 1940-6347 (ISSN-L)
- OpenAlex
- W4293231555
- Cited by
- 331
- References
- 0
- FWCI
- 9.01
- Type
- book
- 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.
