Description
Sooner or later anyone who does statistical analysis runs into problems with missing data in which information for some variables is missing for some cases. Why is this a problem? Because most statistical methods presume that every case has information on all the variables to be included in the analysis. Using numerous examples and practical tips, this book offers a nontechnical explanation of the standard methods for missing data (such as listwise or casewise deletion) as well as two newer (and, better) methods, maximum likelihood and multiple imputation. Anyone who has been relying on ad-hoc methods that are statistically inefficient or biased will find this book a welcome and accessible solution to their problems with handling missing data.
ASIN: 0761916725
VSKU: BVV.0761916725.G
Condition: Good
Author/Artist:Allison, Paul D.
Binding: Paperback
Note: Any images shown are stock photographs and product may differ from what is shown.
Condition Notes: Former library book with the usual stamps, stickers and labels. The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.
ASIN: 0761916725
VSKU: BVV.0761916725.G
Condition: Good
Author/Artist:Allison, Paul D.
Binding: Paperback
Note: Any images shown are stock photographs and product may differ from what is shown.
Condition Notes: Former library book with the usual stamps, stickers and labels. The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.