首页> 外国专利> STATISTICAL ESTIMATION METHOD OF A MULTIFACTOR TREND OF CONDITIONAL PROBABILITY OF THE OCCURRENCE OF A STUDIED UNDESIRED EVENT IN COHORT STUDY

STATISTICAL ESTIMATION METHOD OF A MULTIFACTOR TREND OF CONDITIONAL PROBABILITY OF THE OCCURRENCE OF A STUDIED UNDESIRED EVENT IN COHORT STUDY

机译:队列研究中非预期事件发生概率的多因素趋势统计估计方法

摘要

FIELD: data processing.;SUBSTANCE: invention relates to the field of statistical research of large amounts of individual data for administrative, commercial, financial, managerial, supervisory and predictive purposes. Essence of a method consists in applying the maximum likelihood method inherent in the method and functionality of the estimation of logistic regression; in addition, unlike logistic regression, a model for linking a probability indicator with risk factors is generated by a neural network itself in the process of its optimal adjustment and is not postulated by an analyst before the research is started.;EFFECT: technical result is the implementation of a flexible estimation method of the main trends of probabilistic indicators of cohort risk analysis on the factors studied, taking into account the statistical significance of the findings and the possibility of selecting competing hypotheses (regression models), taking into account an aprior information.;1 cl, 1 dwg
机译:技术领域本发明涉及用于行政,商业,财务,管理,监督和预测目的的大量个人数据的统计研究领域。方法的实质在于应用方法固有的最大似然法和逻辑回归估计的功能;另外,与逻辑回归不同的是,将概率指标与风险因素联系起来的模型是由神经网络在其最佳调整过程中生成的,并且在研究开始之前并未由分析师进行假设。在研究的因素上采用针对队列风险分析的概率指标主要趋势的灵活估计方法,并考虑到发现的统计意义和选择竞争性假设(回归模型)的可能性,并考虑到先前的信息。; 1 cl,1 dwg

著录项

  • 公开/公告号RU2654125C1

    专利类型

  • 公开/公告日2018-05-16

    原文格式PDF

  • 申请/专利权人 OBESNYUK VALERIJ FEDOROVICH;

    申请/专利号RU20160148559

  • 发明设计人 OBESNYUK VALERIJ FEDOROVICH (RU);

    申请日2016-12-09

  • 分类号G06F17/18;G06N3/08;

  • 国家 RU

  • 入库时间 2022-08-21 12:35:35

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