Least-squares Parameter Fitting
Least-Squares Parameter Fitting is a mathematical optimization method that belongs to the class of parameter estimation techniques and is distinguished by its minimization of the sum of squared differences between observed data and model predictions to determine the best-fitting parameters of an intravenous dosing model.
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David E. Budil, Sang-Hyuk Lee, Sunil Saxena et al. · Journal of Magnetic Resonance Series A · 1996 · 926 citations · Full text
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National Institute of Standards and Technology
Gaithersburg, United States
11 h-index
23 publications
1.8K citations

Budapest University of Technology and Economics
Budapest, Hungary
6 h-index
16 publications
810 citations

Vanderbilt University
Nashville, United States
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7 publications
123 citations

Concordia University
Montreal, Canada
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12 publications
290 citations
University of Lisbon
Lisbon, Portugal
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10 publications
350 citations

Oak Ridge National Laboratory
Oak Ridge, United States
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5 publications
411 citations

Chinese Academy of Sciences
Beijing, China
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9 publications
195 citations

University of Calgary
Calgary, Canada
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5 publications
93 citations
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