Missing Data

Missing Data pdf epub mobi txt 电子书 下载 2025

出版者:SAGE Publications, Inc
作者:Paul D. Allison
出品人:
页数:104
译者:
出版时间:2001-8-13
价格:USD 22.00
装帧:Paperback
isbn号码:9780761916727
丛书系列:
图书标签:
  • 社会学 
  • 方法论 
  • 数据分析 
  • Methodology 
  •  
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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 non-technical 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.

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