9780387989570: Mixed-Effects Models in s and S-Plus
Rilegato
ISBN 10: 0387989579 ISBN 13: 9780387989570
Casa editrice: Springer Nature, 2000

Sinossi

An overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. The authors present a unified model-building strategy for both models and apply this to the analysis of over 20 real datasets from a wide variety of areas, including pharmacokinetics, agriculture, and manufacturing. Much emphasis is placed on the use of graphical displays at the various phases of the model-building process, starting with exploratory plots of the data and concluding with diagnostic plots to assess the adequacy of a fitted model. The NLME library for analyzing mixed-effects models in S and S-PLUS, developed by the authors, provides the underlying software for implementing the methods presented. This balanced mix of real data examples, modeling software, and theory makes the book a useful reference for practitioners who use, or intend to use, mixed-effects models in their data analyses. It can also be used as a text for a one-semester graduate-level applied course.

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Editore
Springer Nature
Data di pubblicazione
2000
Lingua
Inglese
ISBN 10 
0387989579
ISBN 13 
9780387989570
Rilegatura
Copertina rigida
Numero di pagine
528
Contatto del produttore
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Germania

Altre edizioni note dello stesso titolo

9781441903174: Mixed-Effects Models in S and S-PLUS (Statistics and Computing)

Edizione in evidenza

ISBN 10:  1441903178 ISBN 13:  9781441903174
Casa editrice: Springer, 2009
Brossura