The DOI matches its Crossref record.
Nonlinear Regression
Abstract
WILEY-INTERSCIENCE PAPERBACK SERIES The 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. From the Reviews of Nonlinear Regression "A very good book and an important one in that it is likely to become a standard reference for all interested in nonlinear regression; and I would imagine that any statistician concerned with nonlinear regression would want a copy on his shelves." –The Statistician "Nonlinear Regression also includes a reference list of over 700 entries. The compilation of this material and cross-referencing of it is one of the most valuable aspects of the book. Nonlinear Regression can provide the researcher unfamiliar with a particular specialty area of nonlinear regression an introduction to that area of nonlinear regression and access to the appropriate references . . . Nonlinear Regression provides by far the broadest discussion of nonlinear regression models currently available and will be a valuable addition to the library of anyone interested in understanding and using such models including the statistical researcher." –Mathematical Reviews
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Estimating regression models with unknown break‐points
Muggeo, V. M. R. (2003) · Statistics in Medicine · doi:10.1002/sim.1545 · Cited by 2,371
Ratcliff, R., & Tuerlinckx, F. (2002) · Psychonomic Bulletin & Review · doi:10.3758/bf03196302 · Cited by 838
Parameter estimation for differential equations: a generalized smoothing approach
Ramsay, J. O., Hooker, G., Campbell, D., & Cao, J. (2007) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2007.00610.x · Cited by 613
Alonso, J., Petukhova, M., Vilagut, G., Chatterji, S., Heeringa, S., Üstün, T. B., Alhamzawi, A. O., Viana, M. C., Angermeyer, M., Bromet, E., et al. (2011) · Molecular Psychiatry · doi:10.1038/mp.2010.101 · Cited by 482
Marx, A., de Graaf, A. A., Wiechert, W., Eggeling, L., & Sahm, H. (1996) · Biotechnology and Bioengineering · doi:10.1002/(sici)1097-0290(19960120)49:2<111::aid-bit1>3.0.co;2-t · Cited by 409
Metadata
- Authors
- Seber, G. A. F., & Wild, C. J.
- Venue
- Wiley Series in Probability and Statistics
- Publisher
- Wiley
- Published
- 1989-02-15
- ISSN
- 1940-6347 (ISSN-L)
- OpenAlex
- W2489605225
- Cited by
- 1,962
- References
- 0
- FWCI
- 9.95
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- doi.wiley.com/10.1002/tdm_license_1.1 (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Nonlinear Regression. https://app.cochat.ai/papers/10.1002/0471725315
- The paper
- Seber, G. A. F., & Wild, C. J. (1989). Nonlinear Regression. Wiley Series in Probability and Statistics. https://doi.org/10.1002/0471725315
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.
