Cumulative Chi-Squared Statistic as a Tool for Testing Goodness of Fit
作为拟合优度检验工具的累积卡方统计量
The cumulative chi-squared statistic in the one-way analysis of variance model is characterized as the weighted sum of independent one degree of freedom chi-squared random variables, which are linear, quadratic, and so on, components in the sense of Čebyšev's orthogonal polynomials for finite points. This suggests that the cumulative chi-squared should be an appropriate goodness-of-fit test statistic for a hypothesized model against a systematic departure that is mainly but…