kernel density estimate applied to residuals of a consistent regression estimate converges with probability 1 to 0 regardless …In this paper we study the problem of estimating the density of the error distribution in a random design regression …

residuals, that incorporates the process input and output variables. A simulation approach is adopted to investigate the …

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 …

This paper proposes a general class of regression models for continuous proportions when the data contain zeros or ones … mixture distribution are modeled as functions of regression parameters. We provide inference, diagnostic, and model selection …

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 …

residuals. Specifically, it is shown that such process uniformly converges to the population characteristic function (CF) of the … to calculate the residuals. Applications of the obtained results for testing symmetry and goodness-of-fit to the law of …

-periodmodel structure for each country and sex. The time related principal components are extrapolated using dynamic linear regression (DLR …

This paper proposes a regression model where the response is beta distributed using a parameterization of the beta law … interest is continuous and restricted to the interval (0, 1) and is related to other variables through a regression structure …. The regression parameters of the beta regression model are interpretable in terms of the mean of the response and, when …