调查抽样的最大熵估值
Maximum Entropy Estimation for Survey sampling
摘要：
在过去的几十年里，校准方法在调查抽样中得到了广泛的研究。视标定为一个反问题，我们扩展了标定技术，使用最大熵方法。通过考虑随机权重并寻找在校准约束下使熵最大化的离散分布来实现找到最佳权重。该方法为此类估计的计算及其统计性质的研究提供了一个新的框架。
英文摘要：
Calibration methods have been widely studied in survey sampling over the last decades. Viewing calibration as an inverse problem, we extend the calibration technique by using a maximum entropy method. Finding the optimal weights is achieved by considering random weights and looking for a discrete distribution which maximizes an entropy under the calibration constraint. This method points a new frame for the computation of such estimates and the investigation of its statistical properties.
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