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.
Mixed-Effects Models in S and S-PLUS (Statistics and Computing) free ebook pdf epub
Mixed-Effects Models in S and S-PLUS (Statistics and Computing) books pdf online
Mixed-Effects Models in S and S-PLUS (Statistics and Computing) ipod
Mixed-Effects Models in S and S-PLUS (Statistics and Computing) pdf
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.