This new edition represents the most up-to-date treatment of
nonlinear regression topics and applications available using the
academically-preferred R language throughout. It offers a balanced
presentation of the theoretical, practical, and computational
aspects of nonlinear regression and provides background material on
linear regression, including the geometrical development for linear
and nonlinear least squares. The authors employ real data sets
throughout, and their use of geometric constructs and continuing
examples (some in the form of extensive case studies) makes the
progression of ideas appear very natural.
John Wiley & Sons
|Country of origin:
||Wiley Series in Probability and Statistics
Douglas M Bates
||Electronic book text
||2nd Revised edition
Science & Mathematics >
Probability & statistics
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