The inactivity time, or lost lifespan specifically for mortality data, concerns time from occurrence of an event interest to the current point and has recently emerged as a new summary measure cumulative information inherent in time-to-event data. This provides several benefits over traditional methods, including more straightforward interpretation yet less sensitivity heavy censoring. However,...

Time series of different nature might be characterised by the presence deterministic and/or stochastic seasonal patterns. By seasonality, we refer to periodic fluctuations affecting not only mean but also shape, dispersion and in general density variable interest over time. Using traditional approaches for adjustment efficient because they do ensure, instance, that adjusted data are free from b...