Sentence examples for model assuming each from inspiring English sources

The calculations for bikes included manufacture – the ECF took a heavier, European-style bike as its model, assuming each used 14.6kg of aluminium, 3.7kg of steel and 1.6kg of rubber – maintenance and even the impact of producing extra calories consumed by someone cycling rather than driving, estimated at 175 an hour, on average.

Recent studies on North Pacific albacore (Thunnus alalunga) growth obtained age-length data from hard parts and fit the age-length data to a von Bertalanffy growth model, assuming each observation of length is a random sample for a given age.

Huang et al. [7] propose the first approximation algorithm for the MLBS problem under the physical interference model assuming each node is aware of its geographical location.

On the other hand, these scenarios can be separately studied with the model, assuming each of these features to be constant in time, in order to assess the effect of such changes on the corresponding risk of a major epidemic.

We also attempted to relax the assumption of equal within class variances, by fitting a model assuming each individual treatment has a distinct effect, but from a common class, with common class effect and a class specific variance.

A null model, assuming each bacterium has a 50% chance of being either strain, would predict a variance of ratios of 3.3 × 10−8 compared to the observed variance, which is many orders of magnitude larger (5.8 × 10).

The model assumes each cell's α-value to randomly fluctuate according to a state-specific noise amplitude σ.

This model assumes each cell belongs to one of K clusters, and each cluster is associated with a d-dimensional Gaussian distribution.

To infer networks of contextual gene sets, each contextual gene set needs to be represented as a single variable as most network models assume each node as a single random variable.

In this paper, I use both adaptive dynamics and inclusive fitness to analyse the evolution of dispersal in a simple model assuming that each patch supports either a single individual or a large population.

On the opposite, this paper proposes a statistical model assuming that each DCT coefficient has a different expectation and variance.