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Książka Correlated Data Analysis: Modeling, Analytics, and Applications Peter X.-K. Song

Correlated Data Analysis: Modeling, Analytics, and Applications

Modeling, Analytics, and Applications

Autor: Peter X.-K. Song
Język: Angielski
Oprawa: Twarda
Wydawca: Springer-Verlag New York Inc.
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
625.31 zł
This book presents some recent developments in correlated data analysis. It utilizes the class of di...

Informacje o książce

Autor
Peter X.-K. Song
Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2007
strony
352
EAN
9780387713922
ISBN
0387713921
Enbook ID
01382459
Wydawca
Springer-Verlag New York Inc.
Waga
717
Wymiary
155 x 235 x 24

Pełny opis

This book presents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to handle a broader range of data types than those analyzed by traditional generalized linear models. One example is correlated angular data. §This book provides a systematic treatment for the topic of estimating functions. Under this framework, both generalized estimating equations (GEE) and quadratic inference functions (QIF) are studied as special cases. In addition to marginal models and mixed-effects models, this book covers topics on joint regression analysis based on Gaussian copulas and generalized state space models for longitudinal data from long time series.§Various real-world data examples, numerical illustrations and software usage tips are presented throughout the book. This book has evolved from lecture notes on longitudinal data analysis, and may be considered suitable as a textbook for a graduate course on correlated data analysis. This book is inclined more towards technical details regarding the underlying theory and methodology used in software-based applications. Therefore, the book will serve as a useful reference for those who want theoretical explanations to puzzles arising from data analyses or deeper understanding of underlying theory related to analyses.

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