The DOI matches its Crossref record.
Theory and Application of the Linear Model.
Abstract
In this book, Franklin A. Graybill integrates the linear statistical model within the context of analysis of variance, correlation and regression, and design of experiments. With topics motivated by real situations, it is a time tested, authoritative resource for experimenters, statistical consultants, and students.
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Citations
Cited by
Bozdogan, H. (1987) · Psychometrika · doi:10.1007/bf02294361 · Cited by 4,468
Oral topiramate for treatment of alcohol dependence: A randomised controlled trial
Johnson, B. A., Ait-Daoud, N., Bowden, C. L., DiClemente, C. C., Roache, J. D., Lawson, K., Javors, M. A., & Ma, J. Z. (2003) · The Lancet · doi:10.1016/s0140-6736(03)13370-3 · Cited by 743
Optimization of experimental design in fMRI: a general framework using a genetic algorithm
Wager, T. D., & Nichols, T. E. (2003) · NeuroImage · doi:10.1016/s1053-8119(02)00046-0 · Cited by 458
A simple confidence interval for meta-analysis
Sidik, K., & Jonkman, J. N. (2002) · Statistics in Medicine · doi:10.1002/sim.1262 · Cited by 431
Osoba, D., Zee, B., Pater, J., Warr, D., Kaizer, L., & Latreille, J. (1994) · Quality of Life Research · doi:10.1007/bf00451727 · Cited by 414
Metadata
- Authors
- Nelder, J. A., & Graybill, F. A.
- Venue
- Journal of the Royal Statistical Society. Series A (General)
- Publisher
- JSTOR
- Published
- 1977
- Volume
- 140
- Issue
- 3
- Pages
- 384
- ISSN
- 0035-9238 (ISSN-L)
- OpenAlex
- W2008662004
- Cited by
- 1,165
- References
- 0
- FWCI
- 16.03
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Theory and Application of the Linear Model. https://app.cochat.ai/papers/10.2307/2344939
- The paper
- Nelder, J. A., & Graybill, F. A. (1977). Theory and Application of the Linear Model. Journal of the Royal Statistical Society. Series A (General). https://doi.org/10.2307/2344939
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.