Generalized least-squares parameter esti
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Simon L. Marshall
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Article
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2003
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American Institute of Chemical Engineers
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English
โ 242 KB
๐ 2 views
## Abstract Maximum likelihood fit of nonlinear, implicit, multipleโresponse models to data containing normally distributed random errors can be carried out by a combination of the GaussโNewton generalized nonlinear leastโsquare algorithm first described by Britt and Luecke in 1973, with a Fletcher