Abstract
The ideas described in this book have been developed and tested using the computer program, the maximum likelihood program (MLP). The aim of the MLP is to bring nonlinear modeling within the scope of the applied scientist by removing the computational problems of optimization to background status, and concentrating on the essential statistical analyses and the computation of relevant quantities. For example, the scientist wishing to find the best nonlinear curve to fit some data is usually more concerned with the shape of the curve (the fitted values) than with the estimates of parameters themselves.
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© 1990 Springer-Verlag New York, Inc.
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Ross, G.J.S. (1990). A Program for Fitting Nonlinear Models, MLP. In: Nonlinear Estimation. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3412-8_7
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DOI: https://doi.org/10.1007/978-1-4612-3412-8_7
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-8001-9
Online ISBN: 978-1-4612-3412-8
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