随机回归的R平方非劣效性检验
A non-inferiority test for R-squared with random regressors
摘要：
确定结果变量和许多不同的解释变量之间缺乏相关性通常是必要的，以便忽略所提出的模型。本文提出了一种非劣性检验的决定系数（或平方多重相关系数），R平方，在线性回归分析与随机预测。该检验是通过基于比例中心F分布反转单侧置信区间得出的。
英文摘要：
Determining the lack of association between an outcome variable and a number of different explanatory variables is frequently necessary in order to disregard a proposed model. This paper proposes a non-inferiority test for the coefficient of determination (or squared multiple correlation coefficient), R-squared, in a linear regression analysis with random predictors. The test is derived from inverting a one-sided confidence interval based on a scaled central F distribution.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
