資料來源:
三民書局
Applied missing data analysis / Craig K. Enders
- 作者： Enders, Craig K.
- 出版： New York : Guilford Press c2010
- 叢書名： Methodology in the social sciences
- 主題： Social sciences--Statistical methods. , Missing observations (Statistics) , Social sciences--research--methodology
- ISBN： 9781606236390 (hbk.) :: US$65.00 、 1606236393 (hbk).
- 一般註：Includes bibliographical references (p. 347-358) and indexes
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讀者標籤：
- 系統號： 005176719 | 機讀編目格式
館藏資訊
"This is a well-written book that will be particularly useful for analysts who are not PhD statisticians. Enders provides a much-needed overview and explication of the current technical literature on
摘要註
"Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and models for handling missing not at random (MNAR) data. Easy-to-follow examples and small simulated data sets illustrate the techniques and clarify the underlying principles. The companion website includes data files and syntax for the examples in the book as well as up-to-date information on software. The book is accessible to substantive researchers while providing a level of detail that will satisfy quantitative specialists."--pub. desc