Description
By You-Gan Wang, Liya Fu, Sudhir Paul
Development in methodology on longitudinal data is fast. Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians to the updated methods on correlated data inference. This book will present a discussion of the modern approaches to inference, including the links between the theories of estimators and various types of efficient statistical models including likelihood-based approaches. The theory will be supported with practical examples of R-codes and R-packages applied to interesting case-studies from a number of different areas.
Key Features:
•Includes the most up-to-date methods
•Use simple examples to demonstrate complex methods
•Uses real data from a number of areas
•Examples utilize R code
Product Details
- Publisher : Chapman and Hall/CRC; 1st edition (January 28, 2022)
- Language : English
- Hardcover : 248 pages
- ISBN-10 : 1498764606
- ISBN-13 : 978-1498764605
- ISBN-13 : 9781498764605
- eText ISBN: 9781351649674
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