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Linear Models with R
Open accessAbstract
A Hands-On Way to Learning Data AnalysisPart of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Second Edition explains how to use linear models
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Cited by
Dormann, C. F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré, G., Marquéz, J. R. G., Gruber, B., Lafourcade, B., Leitão, P. J., et al. (2013) · Ecography · doi:10.1111/j.1600-0587.2012.07348.x · Cited by 9,998
Effect size, confidence interval and statistical significance: a practical guide for biologists
Nakagawa, S., & Cuthill, I. C. (2007) · Biological Reviews · doi:10.1111/j.1469-185x.2007.00027.x · Cited by 3,835
Quantifying the influence of local meteorology on air quality using generalized additive models
Pearce, J. L., Beringer, J., Nicholls, N., Hyndman, R. J., & Tapper, N. J. (2011) · Atmospheric Environment · doi:10.1016/j.atmosenv.2010.11.051 · Cited by 334
Training an Active Random Field for Real-Time Image Denoising
Barbu, A. (2009) · IEEE Transactions on Image Processing · doi:10.1109/tip.2009.2028254 · Cited by 105
Climatic and genetic controls of yields of switchgrass, a model bioenergy species
Tulbure, M. G., Wimberly, M. C., Boe, A., & Owens, V. N. (2012) · Agriculture, Ecosystems & Environment · doi:10.1016/j.agee.2011.10.017 · Cited by 52
Metadata
- Authors
- Faraway, J. J.
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2025-03-07
- OpenAlex
- W1576303512
- Cited by
- 702
- References
- 0
- FWCI
- 4.80
- Type
- book
- Language
- en
- Open access
- bronze
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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.
