Sentence examples for arbitrary estimates from inspiring English sources

Exact(3)

Because boundaries between these categories are inevitably arbitrary, estimates differ regarding how much deforestation has occurred in the tropics.

Thus, the 1.4-fold mean linear G0/G1 fluorescence cutoff while arbitrary, estimates the number of cells progressing through S-Phase until mitosis completion.

Limitations include generalizing from 5 northern Vietnamese provinces to the country as a whole and using arbitrary estimates for backyard exposure frequency.

Similar(57)

If one-quarter of that total went into central Europe an arbitrary estimate, but not an absurd one that would make Russia the region's third-biggest foreign investor after Germany and the Netherlands, roughly equal with France.Will central Europeans ever be at ease with investment from their mighty neighbour?

Bacterial colonies in the P. cinctulus sample B, 20 h (shown in the figure at furthest distance to the observer) were uncountable why 106 bacteria was used in the figure as an arbitrary estimate.

For an arbitrary estimate τ ̂, the bias and the RMSE of the corresponding distance estimate d ̂ = c τ ̂ are proportional (with constant c) to the bias and the RMSE of τ ̂. Figure 2 shows the bias of the estimated distance as a function of the received SNR, defined as SNR = 10 log 10 a 2 E s σ n 2 (dB) (with a as given in Equation (7)).

c Range corresponds to an arbitrary estimate of the authors.

Power analysis could potentially address this issue, however we lack a non-arbitrary estimate of the magnitude of a meaningful effect [ 44].

For the case where the delays are of unknown length, using the certainty equivalence principle, we design a Lyapunov-based adaptive controller, which achieves global stability and regulation, for arbitrary initial estimates for the delays.

Although the scale of the ordered probit is arbitrary, the estimates in Table 6 enable us to know the direction of the effect of the different explanatory variables.5 The first outstanding feature is the importance of state dependence, as women who work in the previous period, whether full-time or part-time, have a higher probability of working in the following period.

This assumption, encouraged by the indiscriminate calculation of risk ratios using arbitrary point estimates, is often incorrect: the fact that environmental and health risks differ in unknown quantitative respects is at least as important a caution to CRA as the fact that risks differ in known qualitative ways.

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