The Possibilities and Limitations of Objective Sampling in Strengthening Agricultural Statistics
客观抽样加强农业统计的可能性与局限AI 解读 ↓
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客观抽样加强农业统计的可能性与局限
- 研究问题
- 农业统计需求持续扩大时，客观抽样与估计能在多大程度上补充普查，改善作物、畜牧及特种农产品统计的范围和可靠性？
- 方法与思路
- 作者讨论拆分普查调查表、特种作物地区的轮换局部普查，以及全国农场年度抽样，并批判性评述现行抽样与估计方法。
- 材料陈述的贡献
- 摘要称本文进一步说明此前三类抽样改进方案的需求，评述美国农业部门的重要现行方法，并介绍探索更客观抽样方法所得的部分结果。
- 阅读关注点
- 阅读时应核对三类方案的抽样单位、轮换规则、估计量及误差评估，并区分此前提出的方案、本文新增证据与实际实施条件。
- 阅读边界
- 摘要未说明具体抽样概率、方差公式、成本或结果数值；无法判断各方案在不同地区的可行性，也不能确认其相对既有方法的改进幅度。
原文摘要
The ever-increasing demand for more and better statistics relating to agriculture in its many phases can be met by the two governmental agencies responsible for these statistics, (The Agricultural Marketing Service of the U. S. Department of Agriculture and the Bureau of the Census of the Department of Commerce) by the development and practical use of objective methods of sampling and, estimation. Three specific suggestions for using objective sampling methods in strengthening agricultural statistics were made by the writer in a previous paper, as follows: (1) Use a split schedule in Census enumerations to broaden the scope of basic agricultural statistics by from 50 to 200 percent, (2) Take a rotating partial census in intercensal years in commercial fruit and truck areas to obtain more reliable and more useful basic statistics regarding these specialty crops than is possible in connection with a general enumeration, (3) Take a nation-wide annual enumerative sample of individual farms covering crop acreages and production, livestock numbers and production, etc. The need for these improved methods has been developed more fully in the present paper, in which a critical description has been given of some of the more important methods of sampling and estimating now used by the U. S. Department of Agriculture and of some of the results obtained in developing more objective sampling methods.