[PDF.34bp] Applied Missing Data Analysis (Methodology in the Social Sciences)
Download PDF | ePub | DOC | audiobook | ebooks
Home -> Applied Missing Data Analysis (Methodology in the Social Sciences) free download
Applied Missing Data Analysis (Methodology in the Social Sciences)
Craig K. Enders PhD
[PDF.wa80] Applied Missing Data Analysis (Methodology in the Social Sciences)
Applied Missing Data Analysis Craig K. Enders PhD epub Applied Missing Data Analysis Craig K. Enders PhD pdf download Applied Missing Data Analysis Craig K. Enders PhD pdf file Applied Missing Data Analysis Craig K. Enders PhD audiobook Applied Missing Data Analysis Craig K. Enders PhD book review Applied Missing Data Analysis Craig K. Enders PhD summary
| #146494 in Books | 2010-04-23 | Original language:English | PDF # 1 | 10.00 x1.00 x7.00l,1.90 | File type: PDF | 377 pages||1 of 1 people found the following review helpful.| Outstanding and highly accessible text on handling missing data|By Tor Neilands|This is hands-down the best missing data book I have read. It is very clearly written and is readily accessible to the non-statistician who has a graduate-level understanding of multiple regression. Dr. Enders is the first author I have read who has explained full-information maximum likelihood (FIM||
"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 missing data. The book sh
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...
You can specify the type of files you want, for your gadget.Applied Missing Data Analysis (Methodology in the Social Sciences) | Craig K. Enders PhD. A good, fresh read, highly recommended.
