According to [2, 3] we use a time scaling that allows to circumvent this issue.
Physically, arrival times are calculated using a time scale (from above and from below the records).
The method reposes upon a suitable redefinition of the internal dynamics of a control-oriented model of the vehicle dynamics, and uses a time-scale separation between the controlled variables to manage the peaking phenomenon occurring in the system.
Secondly, the choice of years-to-death as time scale further hampers comparison with studies that use age as a time scale.
Step-response experiments were used to identify a time scale of 5000 s which is associated with chemisorbed hydrogen.
This approach uses age as a time scale of analysis and adjusts for the competing risk of death to avoid risk inflation introduced in standard survival methods that do not fully account for individuals who die during follow-up (and, therefore, can no longer develop the event of interest).
Traditional stratigraphic schemes rely on two scales: (1) a time scale (using eons, eras, periods, epochs, ages, and chrons), for which each unit is defined by its beginning and ending points, and (2) a correlated scale of rock sequences (using systems, series, stages, and chronozones).
The problems that arise from the use of two overlapping time scales are well recognized [ 44] and can be avoided using a single time scale such as post-menstrual or post-conceptional age [ 16, 17, 43].
This may be due to a lack of information on how to simulate recurrent event data using a total time scale as opposed to published simulation algorithms for gap time [ 3, 4] and other multivariate [ 17, 18] or univariate [ 19] failure time data.
Finally, we used a monthly time scale to consider enough tweets to infer human behavior.
