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Correlated Data Analysis: Modeling, Analytics, and Applications

Name: Correlated Data Analysis: Modeling, Analytics, and Applications
Brand: Springer-Verlag New York Inc.
SKU: 9780387713922
Price: 3937 CZK
Availability: InStock

Modeling, Analytics, and Applications

Autor: Peter X.-K. Song

Jazyk:

Vazba: Pevná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele v malém množství

Odesíláme za 13-18 dnů

3 937 Kč

This book presents some recent developments in correlated data analysis. It utilizes the class of di...

Informace o knize

Autor

Peter X.-K. Song

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2007

Stránek

352

EAN

9780387713922

ISBN

0387713921

Enbook ID

01382459

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

717

Rozměry

155 x 235 x 24

Kompletní popis

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.