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
β 242 KB
π 2 views
## Abstract Maximum likelihood fit of nonlinear, implicit, multipleβresponse models to data containing normally distributed random errors can be carried out by a combination of the GaussβNewton generalized nonlinear leastβsquare algorithm first described by Britt and Luecke in 1973, with a Fletcher