Models for repeated measurements
著者
書誌事項
Models for repeated measurements
（Oxford statistical science series, 10）
Clarendon Press , Oxford University Press, 1993
大学図書館所蔵 全22件
注記
Bibliography: p. [303]-406
Includes index
内容説明・目次
内容説明
This book is organized into four parts. In the first part, the general context of repeated measurements in presented. The three basic types of response variables, continuous (normal), categorical and count, and duration, are introduced. The ways in which such repeated observations are interdependent, through heterogenity and time dependence, are discussed. A framework for constructing suitable models is developed, with the introduction of the necessary concepts of multivariate distributions and stochastic processes. In the following three parts, a large number of concrete examples, including the data tables, is presented to illustrate the models available. Each of these parts corresponds to one of the types of responses mentioned above.
目次
- Basic concepts
- Fundamentals of modelling
- Heterogeneous populations
- Longitudinal studies
- Overdispersion
- Longitudinal discrete data
- Frailty
- Event histories. Appendices: data tables
- programs used.
「Nielsen BookData」 より