residuals against the quantiles of a standard normal distribution. Such plots can be difficult to interpret, because even when … (2004) proposed plotting the deviance residuals against their theoretical quantiles, under the assumption that the model is … simulating new response data from the fitted model and computing the corresponding residuals. This method also provides reference …

The residuals obtained from fitting a structural equation model are crucial ingredients in obtaining chi …-square goodness-of-fit statistics for the model. The authors present a didactic discussion of the residuals, obtaining a geometrical … interpretation by recognizing the residuals as the result of oblique projections. This sheds light on the concept of degrees of …

the innovations and, in a second step, tests for conditional asymmetry are performed on generalized residuals through …

estimation, hypothesis testing, generalized leverage and residuals for the proposed model. In the analysis of local influence, we …

combining PM residuals and NMA residuals (residual = measurement − prediction), using a hybrid of period-driven and data …-driven hypothesis testing. The modified statistical tests can be used on time series of NMA residuals (the NMA residual is the familiar … material balance), or on a combination of PM and NMA residuals. The PM residuals can be generated on a fixed time schedule or …

kernel density estimate applied to residuals of a consistent regression estimate converges with probability 1 to 0 regardless …