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Nonlinear Regression Analysis and Its Applications
Abstract
Wiley-Interscience Paperback Series 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. The authors have put together an extraordinary presentation of concepts and methods concerning the use and analysis of nonlinear regression models ...highly recommend[ed] ...for anyone needing to use and/or understand issues concerning the analysis of nonlinear regression -Technometrics [This book] provides a good balance of relevant theory and application with many examples ...[and it] provides the most balanced approach to theory and application appropriate for a first course in nonlinear regression modeling for graduate statistics students. -Mathematical Reviews [This book] joins a distinguished list of publications with a reputation for balancing technical rigor with readability, and theory with application. [It] upholds tradition ...[and is] a worthwhile reference for the marketing researcher with a serious interest in linear models. -Journal of Marketing Research This book offers a balanced presentation of the theoretical, practical, and computational aspects of nonlinear regression and provides background material on linear regression, including the geometrical development for linear and nonlinear least squares. authors employ real data sets throughout, and their extensive use of geometric constructs and continuing examples makes the progression of ideas appear very natural. book also includes pseudocode for computing algorithms.
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Cited by
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de Montjoye, Y.-A., Hidalgo, C. A., Verleysen, M., & Blondel, V. D. (2013) · Scientific Reports · doi:10.1038/srep01376 · Cited by 1,645
Characterising performance of environmental models
Bennett, N. D., Croke, B. F. W., Guariso, G., Guillaume, J. H. A., Hamilton, S. H., Jakeman, A. J., Marsili-Libelli, S., Newham, L. T. H., Norton, J. P., Perrin, C., et al. (2013) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2012.09.011 · Cited by 1,536
Riemann manifold langevin and hamiltonian monte carlo methods
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Gupta, S., Lehmann, D. R., & Stuart, J. A. (2004) · Journal of Marketing Research · doi:10.1509/jmkr.41.1.7.25084 · Cited by 849
Metadata
- Authors
- Bates, D. M., & Watts, D. G.
- Venue
- Wiley Series in Probability and Statistics
- Publisher
- Wiley
- Published
- 1988-08-26
- ISSN
- 1940-6347 (ISSN-L)
- OpenAlex
- W2070779353
- Cited by
- 3,979
- References
- 0
- FWCI
- 16.93
- Type
- book
- Language
- en
- Open access
- closed
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- Bates, D. M., & Watts, D. G. (1988). Nonlinear Regression Analysis and Its Applications. Wiley Series in Probability and Statistics. https://doi.org/10.1002/9780470316757
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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.