Parameter
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excellent coverage by accomplished authorsBootstrap methods are neglected probably because the value of the bootstrap for standard error estimation in nonlinear models was not yet appreciated in 1989.
Chapters 1 and 2 provide good introductory material similar to the other texts. Chapter 1 deals with the models (linear and nonlinear) and Chapter 2 provides the basic estimation techniques. In addition to the standard material on least squares, generalized least squares and maximum likelihood, the authors also cover quasi-likelihood, linear approximations, robust estimation and Bayesian methods. Box - Cox transformations and the issue of variance heterogeneity are also treated in Chapter 2.
As they remark in the preface, they avoid much of the econometric theory and asymptotic theory that is well covered in Gallant's book.
Chapter 3 deals with important practical issues including the convergence properties of the iterative procedures (important for nonlinear models but a non-issue in linear models), ill-conditioning and identifiability (important issues for both linear and nonlinear models).
Chapter 4 deals with curvature issues and covers much of the original work of Bates and Watts with many references to those authors. Oddly though, there is no mention of the Bates and Watts text. Both books were published by Wiley around the same time with Bates and Watts appearing in 1988 and Seber and Wild in 1989. Perhaps the Seber and Wild book went to the publisher before the Bates and Watts book came out (their preface has a May 1988 date).
Important and interesting topics covered in this book but not the others include models with time dependent errors, detailed treatment of growth models, compartmental models, multiphase and spline regresions and error-in-variables models. They also devote a whole chapter to software issues (very interesting and practical but probably mostly outdated).
Good for a graduate statistics course or for a research reference source. Has lots of material and references but lacks homework problems.
Excelent book on nonlinear regression!
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Outstanding Title
Engel et al.'s One Parameter Semigroups Book
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great book
Great for Primary Care Providers!

A most dynamic field!
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models
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An excellent introductory book for engineers
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Parameter Estimation, Condition Monitoring, and Diagnosis of
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interesting treatment of important topicsThis book is intended for graduate level students in statistics.

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Surprisingly GoodThis is a quite good story collection. Some of the stories are typical Analog fare, but the majority of them are extraordinary tales that will please any SF reader. The stories are arranged roughly in chronological order. There is some variation but the newer stories are grouped more towards the back of the volume. This allows the reader to watch Landis' growth from his humble beginnings as part of Stan Schmidt's cadre to an author who is published in diverse venues.
There is no one story in this collection that stands out as 'Best of the Book'. 'Beneath the Stars of Winter', 'Winter Fire', 'A Walk in the Sun', 'Dark Lady', 'Approaching Perimelasma', and the humorous 'What We Do Here at NASA' are all mature and engaging pieces of fiction. I was slightly disappointed with the acclaimed 'The Singular Habits of Wasp', a Holmes pastiche which had a plot reminiscent of Michael Dibdin's classic novel _The Last Sherlock Holmes Story_.
While reading this collection I discovered that Mr. Landis is a mature and talented author with a mastery of the art of pacing. Each of his stories flows. They reach a peak and then gently diminish. I am very impressed with this collection and will very soon begin an avid search for more of Landis' stories. Highly recommended.
Depth and Graceof the form.
My new favorite author