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Missing Data - Quantitative Applications in the Social Sciences Paul D. Allison
Missing Data - Quantitative Applications in the Social Sciences
Paul D. Allison
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 relied 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.
104 pages, illustrations
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2001年10月3日 |
| ISBN13 | 9780761916727 |
| 出版商 | SAGE Publications Inc |
| 页数 | 104 |
| 商品尺寸 | 142 × 216 × 6 mm · 130 g |
| 语言 | 英语 |
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