By Eugene Demidenko
Praise for the First Edition
“This booklet will serve to vastly supplement the turning out to be variety of texts facing combined types, and that i hugely suggest together with it in one’s own library.”
—Journal of the yankee Statistical Association
Mixed modeling is an important zone of records, allowing the research of clustered and longitudinal info. Mixed versions: conception and functions with R, moment Edition fills a niche in present literature among mathematical and utilized statistical books by means of proposing a robust exam of combined version idea and alertness with exact cognizance given to the implementation in R.
The new version presents in-depth mathematical assurance of combined types’ statistical homes and numerical algorithms, in addition to nontraditional functions, reminiscent of regrowth curves, shapes, and photographs. The booklet positive factors the most recent issues in records together with modeling of advanced clustered or longitudinal facts, modeling facts with a number of assets of edition, modeling organic sort and heterogeneity, fit Akaike details Criterion (HAIC), parameter multidimensionality, and information of photograph processing.
Mixed types: thought and purposes with R, moment Edition gains particular functions of combined version technique, to boot as:
- Comprehensive theoretical discussions illustrated by means of examples and figures
- Over three hundred workouts, end-of-section difficulties, up to date info units, and R subroutines
- Problems and prolonged tasks requiring simulations in R meant to augment material
- Summaries of significant effects and common issues of debate on the finish of every chapter
- Open difficulties in combined modeling technique, which are used because the foundation for examine or PhD dissertations
Ideal for graduate-level classes in combined statistical modeling, the booklet can also be a very good reference for execs in a number of fields, together with melanoma learn, laptop technological know-how, and engineering.
Read or Download Mixed Models: Theory and Applications with R (Wiley Series in Probability and Statistics) PDF
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Additional resources for Mixed Models: Theory and Applications with R (Wiley Series in Probability and Statistics)
Mixed Models: Theory and Applications with R (Wiley Series in Probability and Statistics) by Eugene Demidenko