We consider a time series following a simple linear regression with first-order autoregressive errors belonging to the class of heavy-tailed distributions. The
In linear regression analysis, detecting anomalous observations is an important step for model building process. Various influential measures based on different
The main objective of this study is to analyze work travel-related behavior through a set of variables relative to socio-economic class, urban environment and t
Estimation of the unknown mean, μ and variance, σ2 of a univariate Gaussian distribution given a single study variable x is considered. We propose an approach