Estimation Using Multiyear Rotation Design Sampling in Agricultural Surveys
作者:
RajS. Chhikara,
Lih-Yuan Deng,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1992)
卷期:
Volume 87,
issue 420
页码: 924-932
ISSN:0162-1459
年代: 1992
DOI:10.1080/01621459.1992.10476246
出版商: Taylor & Francis Group
关键词: Analysis of variance model;Area frame;List frame;Multiple-frame estimator;Nonoverlap domain;Relative efficiency
数据来源: Taylor
摘要:
In the annual June Enumerative Surveys (JES) of the U.S. Department of Agriculture (USDA), the area frame sampling involves multiyear rotation designs with 20% replacement of sample units each year. Currently, USDA uses the latest year sample data almost exclusively in its estimation procedure. We propose that the multiyear sample survey data should be used for estimation of crop acreages and livestock. We develop a multiyear estimation method based on an analysis of variance model that takes into account the successive sampling of units in the area frame from year to year. The proposed method is applied to estimate the 1989 hogs and soybean acreages using JES data for three years: 1987, 1988, and 1989. These estimates are compared with those obtained using the current USDA estimation method. We give relative efficiencies of the multiyear estimates compared to the single-year estimates, often showing a substantial improvement in precision. We also make an evaluation study of the proposed estimation method using simulations and show it to be fairly robust to misspecification of the model parameter.
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