Handbook for Applied Modeling: Non-Gaussian and Correlated Data
Autor Jamie D. Riggs, Trent L. Lalondeen Limba Engleză Paperback – 13 iul 2017
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Specificații
ISBN-13: 9781316601051
ISBN-10: 1316601056
Pagini: 228
Dimensiuni: 178 x 254 x 10 mm
Greutate: 0.48 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:New York, United States
ISBN-10: 1316601056
Pagini: 228
Dimensiuni: 178 x 254 x 10 mm
Greutate: 0.48 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:New York, United States
Cuprins
1. The data sets; 2. The model-building process; 3. Constance variance response models; 4. Non-constant variance response models; 5. Discrete, categorical response models; 6. Counts response models; 7. Time-to-event response models; 8. Longitudinal response models; 9. Structural equation modeling; 10. Matching data to models.
Recenzii
'This book is a guide to modeling and analyzing non-Gaussian and correlated data. There is clearly a need for such a book to help less experienced data scientists … The data sets and models are well explained, and the limitations of each type of model on the various data sets is illustrated by frequent plots.' Peter Rabinovitch, MAA Reviews
Notă biografică
Descriere
This compact, entry-level Handbook equips applied practitioners to choose and use core models for real-world data - with R and SAS.