标题： 隐式回归简介 显示英文标题

标题： Introduction to Implicit Regression

摘要： 统计学家通常将回归限制于显式定义因变量和自变量的关系模型；本文概述了新开发的非响应分析和旋转分析方法，用于评估互依变量而无需明显的主体响应。 文中提出的概念挑战了固定效应的概念；统一性被视为一个随机度量（变量），忽略独立性的假设，并且详细描述了分离程度，这是衡量模型质量的一个指标。 显示英文摘要

摘要： Statisticians usually restrict regression to model relationships that are explicitly defined dependent and independent random variables; this paper outlines the newly developed method of non-response analysis and rotational analysis for evaluating co-dependent variables without an obvious subject response. The concepts outlined challenge the notion of fixed effects; unity is included as a random measure (variable) ignoring the assumption of independence and the degree of separation is outlined which is a measure of model quality.