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Mixed Effects Models in S and S-PLUS
Pinheiro, Jos; Bates, Douglas M.
€ 273.68
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Description for Mixed Effects Models in S and S-PLUS
Hardback. Presents 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. Series: Statistics and Computing. Num Pages: 528 pages, biography. BIC Classification: UFM; UMX; UNC. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 30. Weight in Grams: 920.
“Over 170 figures are included in the book. … the material covered in the book is self-contained … . The balanced mix of real data examples, modeling software, and theory makes this 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 in mixed-effects models.” (E.M.Psyadlo, zbMATH 0953.62065, 2022)
“Over 170 figures are included in the book. … the material covered in the book is self-contained … . The balanced mix of real data examples, modeling software, and theory makes this 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 in mixed-effects models.” (E.M.Psyadlo, zbMATH 0953.62065, 2022)
Product Details
Format
Hardback
Publication date
2000
Publisher
Springer-Verlag New York Inc. United States
Number of pages
528
Condition
New
Series
Statistics and Computing
Number of Pages
528
Place of Publication
New York, NY, United States
ISBN
9780387989570
SKU
V9780387989570
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Mixed Effects Models in S and S-PLUS
“Over 170 figures are included in the book. … the material covered in the book is self-contained … . The balanced mix of real data examples, modeling software, and theory makes this 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 ... Read more