New methods of editing and imputation

被引：0
作者：
Nordbotten, S [1 ]
机构：
[1] Univ Bergen, N-5040 Paradis, Norway
来源：
AGRICULTURAL STATISTICS 2000, PROCEEDINGS: AN INTERNATIONAL CONFERENCE ON AGRICULTURAL STATISTICS | 1998年
关键词：
D O I：
暂无
中图分类号：
F3 [农业经济];
学科分类号：
0202 ; 020205 ; 1203 ;
摘要：
Editing of data collected for preparation of statistics is a time and resource consuming process. This paper presents experiments with artificial neural networks as a potential tool for increasing the effectiveness of statistical editing and imputation. To maintain accuracy in resulting statistics, the possibility of deriving reliable accuracy predictions is also discussed.
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页码：220 / 228
页数：9
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