Correlated data analysis: modeling, analytics, and applications

By: Song, Peter X. KMaterial type: BookBookSeries: Springer series in statisticsPublication details: New York Springer Science+Business Media 2007Description: xv, 346 : ill. ; 24 cmISBN: 9780387713922Subject(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
Rack 28-B / Slot 1428 (0 Floor, East Wing) General Stacks 519.537 S6C6 (Browse shelf(Opens below)) 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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