Mixed-Effects Models in S and S-PLUS
Jose Pinheiro
€ 274.77
FREE Delivery in Ireland
Description for Mixed-Effects Models in S and S-PLUS
Paperback. Series: Statistics and Computing. Num Pages: 528 pages, 6 black & white illustrations, biography. BIC Classification: UFM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 28. Weight in Grams: 831.
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer-Verlag New York Inc.
Format
Paperback
Publication date
2013
Series
Statistics and Computing
Condition
New
Weight
830g
Number of Pages
528
Place of Publication
New York, NY, United States
ISBN
9781475781441
SKU
V9781475781441
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Mixed-Effects Models in S and S-PLUS