Sentence examples for intervals of τ from inspiring English sources

Recall that these events are scheduled at intervals of τ.

Moreover, as mentioned in Section 9, for certain intervals of τ model (2.2) there exist multiple attractors including an order-1 limit cycle and invariant set (operatorname{Int}Omega_{h}) or (operatorname{Int}Omega_{h_{1}} cuppartialOmega_{h_{1}}), and the question is how to determine the basins of attraction once multiple attractors exist in model (2.2).

Confidence intervals of τ were calculated using parametric bootstrapping [ 68].

The confidence intervals of τ were calculated using a parametric bootstrap approach [ 34].

We then assume that an amount θ of the antibiotic is re-introduced in regular treatment intervals of τ time-steps.

Positive selection is introduced at a fixed number of sites at intervals of τ generations throughout the simulation, where all positively selected sites have the same selective coefficient s b.

Differential congruence of periods (τs) in helio- and/or geomagnetics and in human psychophysiology is also documented for RBS assessed (by overlying or overlapping 95% confidence intervals) of τs found in a mental function (1-minute TE) and in SBP and HR in about 4 decades of around-the-clock self-measurements (Sothern et al 2007).

First, we divide the period spanned by the tree into B adjacent intervals of lengths τ 1, τ 2, …, τ B such that ∑ α = 1 B τ α = t r where t r is the age of the root.

The lower bound of the 95% confidence interval of τ could not be distinguished from 0 in the southern region although substantial uncertainty was associated with all estimates (95% CI: south = 0 – 3.4; central 2.4 – 7.8; north = 0.5 – 30.5).

For example, when using 0.5 year intervals, estimates of τ for 5, 10 and 30 studies were 0.112, 0.138 and 0.165, respectively when using the 0/1 treatment coding, compared with 0.147, 0.176 and 0.193 seen in Table 7 for the -0.5/0.5 coding.

All the methods that follow are for performing interval estimation of τ under the assumptions of the random effects model for meta-regression.