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 ...
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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
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New. Contains: Illustrations, black & white, Line drawings, black & white, Tables, black & white. Includes: illustrations, black & white, tables, black & white, line drawings, black & white. Intended for professional and scholarly audience.
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