However, estimation behavior using the sequential method tends to fluctuate over time because the constant heat flux assumption is always violated as a result of the disturbance factors.
Interpretation of TRT data is often done using the infinite line source (ILS) model, combined with the sequential plot method, because it is not only simple but also provides additional information about the estimation behavior and convergence.
In addition to its portability, all of the estimation behaviors, such as cell search, synchronization, noise floor selection and path search are accomplished by the equipment.
Estimation behaviors were first analyzed via logarithmic and linear regression modeling.
The objective of this study was to scrutinize number line estimation behaviors displayed by children in mathematics classrooms during the first three years of schooling.
These findings [ 2, 5, 7, 10] reinforce the belief that child estimation behaviors demonstrates a logarithmic phase prior to linearity and that this transition is evident first with familiar and then unfamiliar number contexts.
To summarize, prior cognitive research into children's numerical estimation behaviors has argued for both logarithmic and linear models being able to describe the mental representation; with different models having dominance depending on development and familiarity of the number range.
Using the most established logarithmic and linear regression analysis of Berteletti et al. [ 7], Booth and Siegler [ 2]; Siegler and Booth [ 5] and Siegler and Opfer [ 10] as a foundation, this research extends the analysis systematically to investigate estimation behaviors of individual target numbers.
This was achieved by focusing on the estimation behaviors of individual target digits within a familiar number range (0-20), andpting and extending the methods of Siegler and colleagues [ 2, 5, 10] and building on the ideas of Barth and Paladino [ 26], Berteletti et al. [ 7], Ebersbach et al. [ 8] and Thompson and Siegler [ 11].
The presence of multiple categories allows for an estimation of behavior frequency, which is especially important since repetition is a core feature of bullying (Malta et al., 2010).
A model with car-following, overtaking decision-making and LC values (from this paper) together will help in accurate estimation of behavior and simulation of heterogeneous traffic with weak lane discipline.
