The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Estimation of Parameters in Nonlinear, Implicit Models
Abstract
The estimation of parameters in nonlinear algebraic models is considered for a general class of problems. Included are problems where both the independent and dependent variables are subject to error and problems where the model is algebraically implicit. The maximum likelihood principle leads to an equality constrained minimization problem. An algorithm to achieve this minimization is obtained through the use of Lagrange multipliers.
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Cites
An Algorithm for Least-Squares Estimation of Nonlinear Parameters
Marquardt, D. W. (1963) · Journal of the Society for Industrial and Applied Mathematics · doi:10.1137/0111030 · Cited by 30,728
Cited by
Receptor modeling application framework for particle source apportionment
Watson, J. G., Zhu, T., Chow, J. C., Engelbrecht, J., Fujita, E. M., & Wilson, W. E. (2002) · Chemosphere · doi:10.1016/s0045-6535(02)00243-6 · Cited by 299
Leibman, M. J., Edgar, T. F., & Lasdon, L. S. (1992) · Computers & Chemical Engineering · doi:10.1016/0098-1354(92)80030-d · Cited by 258
Simplified impedance/frequency-response results for intrinsically conducting solids and liquids
Macdonald, J. R. (1974) · The Journal of Chemical Physics · doi:10.1063/1.1681691 · Cited by 256
Metadata
- Authors
- Britt, H. I., & Luecke, R. H.
- Venue
- Technometrics
- Publisher
- Informa UK Limited
- Published
- 1973-05
- Volume
- 15
- Issue
- 2
- Pages
- 233-247
- ISSN
- 0040-1706 (ISSN-L)
- 1537-2723
- OpenAlex
- W2012361529
- Cited by
- 514
- References
- 1
- FWCI
- 5.67
- Type
- journal article
- Language
- en
- Open access
- closed
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