概括性
推论
估计
牙石(牙科)
应用数学
数学
统计推断
样品(材料)
计算机科学
统计
计量经济学
人工智能
心理学
工程类
医学
色谱法
化学
牙科
系统工程
心理治疗师
作者
Leonard A. Stefanski,Dennis D. Boos
标识
DOI:10.1198/000313002753631330
摘要
Since the seminal papers by Huber in the 1960s, M-estimation methods (also known as estimating equation methods) have been increasingly important for asymptotic analysis and approximate inference. This article illustrates the breadth and generality of the M-estimation approach, thereby facilitating its use inpractice and in the classroom as a unifying approach to the study of large-sample inference.
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