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Faced with such lines, humans tend to imagine progress as an escape from linear waiting.
We discuss cognitive vs. behavioral approaches to timing, the "gap" experiment and its implications, proportional timing and Weber's law, temporal dynamics and linear waiting and the problem of simple chain-interval schedules.
Incorporation of the linear waiting parameters in the new model provides a basis for estimating δ without contaminating it with post-reinforcement pausing.
In addition, the progressive-ratio model invokes the linear waiting principle (Wynne et al., 1996) to predict the escalating duration of the post-reinforcement pause in successive ratios, thereby yielding a dynamic account of performance on this schedule.
However the two parameters expressing the linear waiting principle, T0 and k, did differ between the two conditions, the value of T0 being smaller and that of k larger under the food-deprived condition than under the free-feeding condition.
The linear waiting principle expresses the finding that the post-reinforcement pause on trial i, TP,i, is linearly related to the total inter-reinforcement interval on trial i-1, TTOT, i -1: (1) T P, i = T 0 + k T T O T, i − 1 where the parameters T0 and k represent the minimum post-reinforcement pause and the slope of the linear waiting function.
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People beyond that point will look back at us the way we look at the Anasazi and talk about how people used to live in linear time: all that waiting for stuff to happen in a strange jelly of stiffened dimensionality.
The greater the quanta production rate, the more non-linear the relationship between waiting time and the probability of infection.
In Lejweleputswa, Wave 4 participants reported significantly less satisfaction than did those in Waves 1 and 2. Patients in Motheo reported a significant linear decline in satisfaction with waiting times at the assessment sites between Waves 1 and 3.
The rise of the dot-coms threw waiting your turn and linear résumés out the window.
The models described above only include the waiting time as a linear term.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com