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Applied Linear Regression
Abstract
Praise for the Third Edition "...this is an excellent book which could easily be used as a course text..."-International Statistical Institute The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the practical applications of linear regression analysis techniques, the Fourth Edition uses interesting, real-world exercises and examples. Stressing central concepts such as model building, understanding parameters, assessing fit and reliability, and drawing conclusions, the new edition illus
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Cited by
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The Too-Much-of-a-Good-Thing Effect in Management
Pierce, J. R., & Aguinis, H. (2013) · Journal of Management · doi:10.1177/0149206311410060 · Cited by 1,085
Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review
Chan, J. Y.-L., Leow, S. M. H., Bea, K. T., Cheng, W. K., Phoong, S. W., Hong, Z.-W., & Chen, Y.-L. (2022) · Mathematics · doi:10.3390/math10081283 · Cited by 617
Global typology of urban energy use and potentials for an urbanization mitigation wedge
Creutzig, F., Baiocchi, G., Bierkandt, R., Pichler, P.-P., & Seto, K. C. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1315545112 · Cited by 598
Wang, Z., Ying, Z., Bosy-Westphal, A., Zhang, J., Schautz, B., Later, W., Heymsfield, S. B., & Müller, M. J. (2010) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2010.29885 · Cited by 546
Metadata
- Authors
- Weisberg, S.
- Venue
- Wiley Series in Probability and Statistics
- Publisher
- Wiley
- Published
- 2005-01-14
- ISSN
- 1940-6347 (ISSN-L)
- OpenAlex
- W2492294785
- Cited by
- 1,446
- References
- 0
- FWCI
- 6.40
- Type
- book
- Language
- en
- Open access
- closed
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- Weisberg, S. (2005). Applied Linear Regression. Wiley Series in Probability and Statistics. https://doi.org/10.1002/0471704091
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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.