This book covers 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 cover a broader range of data types than
the traditional generalized linear models. The reader is provided
with a systematic treatment for the topic of estimating functions,
and both generalized estimating equations (GEE) and quadratic
inference functions (QIF) are studied as special cases. In addition
to the discussions on marginal models and mixed-effects models,
this book covers new topics on joint regression analysis based on
Gaussian copulas.
General
| Imprint: |
Springer-Verlag New York
|
| Country of origin: |
United States |
| Series: |
Springer Series in Statistics |
| Release date: |
November 2010 |
| First published: |
2007 |
| Authors: |
Peter X.-K. Song
|
| Dimensions: |
235 x 155 x 24mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
352 |
| Edition: |
Softcover reprint of hardcover 1st ed. 2007 |
| ISBN-13: |
978-1-4419-2440-7 |
| Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
|
| LSN: |
1-4419-2440-X |
| Barcode: |
9781441924407 |
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