Correlated data analysis:modeling, analytics, and applications
Saved in:
Main Authors: | |
---|---|
Corporate Authors: | |
Published: |
Springer Verlag,
|
Publisher Address: | New York |
Publication Dates: | c2007. |
Literature type: | Book |
Language: | English |
Series: |
Springer series in statistics. |
Subjects: | |
Online Access: |
http://dx.doi.org/10.1007/978-0-387-71393-9 |
Carrier Form: | 1 online resource (xv, 346): ill. |
ISBN: |
9780387713922 (electronic bk.) 0387713921 (electronic bk.) 038771393X 9780387713939 |
Index Number: | O212 |
CLC: | O212.1 |
Contents: |
Includes bibliographical references (p. [329]-342) and index. Presents developments in correlated data analysis. This book provides a systematic treatment for the topic of estimating functions. In addition to marginal models and mixed-effects models, it covers topics on joint regression analysis based on Gaussian copulas and generalized state space models for longitudinal data from long time series. |