If the transient is buried in the noise, we determine the end of clear transient and the depth of investigation is defined as the depth corresponding to the transient response time at which response data become difficult to fit to a theoretical curve because of scatter caused by noise (Abd Allah et al. 2013a).
But as yet another brace of TV documentaries is screened featuring intrepid Englishmen trawling Scotland and prodding its inhabitants in search of referendum data, it becomes difficult not to feel like a lab rat – a common enough species about whose neurological functions more information is apparently necessary, to understand why it might want to alter the boundaries of its natural habitat.
Without such data, it becomes difficult to impossible to question or verify statements about budgets and expenditures.
Firstly, the wireless channel is changing so fast that by merely interpolating to obtain the channel estimate of data symbols becomes difficult and inaccurate.
For both structural engineering and thermal simulation, the data transition becomes difficult as soon as there is complex geometry involved, such as round walls, which have caused problems in all software-combinations.
Interpreting survival data thus becomes difficult because commonly used methods, i.e., Kaplan-Meier survival estimates and Cox' proportional hazards, rely on the assumption of non-informative censoring.
Without these comparison data, it becomes difficult to compare the experiences of diabetes management between these two communities who are being cared for in the same clinical setting.
When they target specific phenomena and constrain their use to account for specific sets of data, it becomes difficult to extend the model to different experimental circumstances or to help explain different phenomena or particular examples of individual behavior.
18 21 Without such comparison data, it becomes difficult to compare the experiences of DM between patients from these two communities who are being cared for in the same clinical setting.
Without these comparison data, it becomes difficult to compare the experiences of diabetes management (DM) between these two communities who are being cared for in the same clinical setting.
