Sentence examples for biased strategy from inspiring English sources

Exact(1)

Smaller values within a layer would indicate clustering of choices close to each other within that layer and therefore indicate that animals would be biased towards adopting a layer strategy, and higher values would indicate that animals used a vertically biased strategy (which would seem unlikely a priori).

Similar(59)

"During this period savers have borne the brunt of a borrower biased economic strategy, but with the Fed tweaking rates upwards the tide may soon be about to turn on this side of the pond.

In the present paper a fourth/fifth order upwind biased limiting strategy is presented for the simulation of turbulent flows and combustion.

CNN's management disavows any struggles and says it is standing steadfast with its "no bias" strategy.

We are fundamental, growth-oriented investors who launched our flagship, long-bias strategy over 30 years ago and have advised long-only managed accounts for over 28 years.

In normal biasing strategy, updating intermediate reaction rates with a particular set of biasing parameters redistributes v k such that the corresponding intermediate event becomes the mode.

The NP effect can be biased by strategies adopted by participants when attended and ignored repetition trials are presented randomly.

Variance component estimates were particularly biased for strategies with small sample sizes and large block sizes.

Remarkably, one challenge arises in the context of the assessment of the quality of the community detection process in real-world scenarios that is the lack of a ground truth against which to compare the results provided by the adopted community detection strategy - which might be biased by the strategy itself [37, 38].

The role of bias on the part of the expert, identification of different types of bias, strategies to control bias and the confidence of the expert in his/her response are also presented and discussed.

Also discussed is how to establish and maintain equipoise to minimize experimenter bias, strategies for optimal recruitment and retention of potential study participants, measuring and ensuring treatment fidelity, and factors contributing to optimal participant adherence to study participation.

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