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Correlated data analysis: modeling, analytics, and applications

By: Song, Peter X. K.
Material type: materialTypeLabelBookSeries: Springer series in statistics. Publisher: New York Springer Science+Business Media 2007Description: xv, 346 : ill. ; 24 cm.ISBN: 9780387713922.Subject(s): Correlation (Statistics) | Generalized estimating equations | Longitudinal methodDDC classification: 519.537 Summary: 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. (http://www.springer.com/statistics/statistical+theory+and+methods/book/978-0-387-71392-2)
List(s) this item appears in: Big data | VR_Data Analytics, Data Visualization and Big Data
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Books Vikram Sarabhai Library
Slot 1428 (0 Floor, East Wing) 519.537 S6C6 (Browse shelf) Available 173695

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. (http://www.springer.com/statistics/statistical+theory+and+methods/book/978-0-387-71392-2)

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