Posted by **nebulae** at Jan. 6, 2016

English | ISBN: 110703003X, 1107699924 | 2015 | 336 pages | PDF | 1 MB

Posted by **interes** at Nov. 28, 2015

English | April 28, 2003 | ISBN: 0521819768 | Pages: 318 | PDF | 3,6 MB

Posted by **pepoimc** at Feb. 2, 2011

Publisher: Cambridge University Press; 1 edition (April 28, 2003) | ISBN: 0521819768 | Pages: 318 | PDF | 3.59 MB

The most important techniques available for longitudinal data analysis are discussed in this book. The discussion includes simple techniques such as the paired t-test and summary statistics, but also more sophisticated techniques such as generalized estimating equations and random coefficient analysis. A distinction is made between longitudinal analysis with continuous, dichotomous, and categorical outcome variables.

Posted by **loverka** at Nov. 7, 2010

Publisher: Springer | 2007-07-20 | 352 pages | ISBN: 0387713921 | PDF | 3,5 MB

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.

Posted by **mowmow** at July 8, 2007

Springer | ISBN 0387713921 | 2007-07-20 | PDF |352 pages | 3.31 MB

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.

Posted by **bookwyrm** at Feb. 8, 2016

2013 | 336 Pages | ISBN: 3642329136 | PDF | 3 MB

Posted by **bookwarrior** at Sept. 6, 2015

2013 | 336 Pages | ISBN: 3642329136 | PDF | 2 MB

Posted by **happy4all** at Aug. 7, 2015

2013 | 336 Pages | ISBN: 3642329136 | PDF | 2 MB

Posted by **tukotikko** at June 13, 2015

2013 | 336 Pages | ISBN: 3642329136 | PDF | 3 MB

Posted by **bookwarrior** at May 17, 2015

2013 | 336 Pages | ISBN: 3642329136 | PDF | 3 MB