Monte Carlo Techniques in Studying Robust Estimators
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Recent work on robust estimation has led to many procedures, which are easy to formulate and straightforward to program but difficult to study analytically. In such circumstances experimental sampling is quite attractive, but the variety and complexity of both estimators and sampling situations make
近期关于稳健估计（robust estimation）的研究已催生诸多方法，这些方法易于表述且编程直观，但难以通过解析方式开展理论研究。在此情形下，实验抽样颇具吸引力，然而估计量与抽样场景的多样性及复杂性使得
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美国国家经济研究局创建时间：
1973-11-01
