CAJ | 학술논문

指令性抽样下的样本往往不具有代表性,因此仅用它们来推断总体将是不适合的,这篇文章基于观察信息,利用概率统计方法将没有发出调查指令的样本信息补充出来,然后利用观察信息和补充信息一起来对总体进行推断.具体我们给出了总体均值和方差参数估计的迭代公式,并给出它们在经济犯罪调查和流行病调查中的应用.
지령성추양하적양본왕왕불구유대표성,인차부용타문래추단총체장시불괄합적,저편문장기우관찰신식,이용개솔통계방법장몰유발출조사지령적양본신식보충출래,연후이용관찰신식화보충신식일기래대총체진행추단.구체아문급출료총체균치화방차삼수고계적질대공식,병급출타문재경제범죄조사화류행병조사중적응용.
It is unsuitable for us to infer a population only by sample from instruction sampling because it has no representativeness. In this paper, relying on observed information, we have supplemented sample information which has not received instruction of investigation by probability and statistics method. Then we can infer the population using observed and supplementary information. Particularly, we have obtained iterative formula about estimation of population mean and variance and its application in investigation of economy crime and epidemic.