Sentence examples for variable plans from inspiring English sources

Exact(1)

Tom Lyon, energy expert at uSwitch.com, said: "Fixed energy tariffs are often hundreds of pounds cheaper than standard variable plans and protect consumers from price rises.

Similar(59)

Symbol, based in Holtsville, N.Y., also said operating expense, excluding the impact of variable plan accounting on stock options, over the period was increased by a cumulative $237 million, to $2.26 billion.

However, when these deals end, customers can get a shock as prices usually jump when they're rolled over to their supplier's standard variable plan.

An interpolation methodology, using artificial neural networks (ANN), was developed to include variable plan dimensions and roof slopes in the set of parameters considered in earlier interpolation studies.

In the BLP model, opposition obstacles and UAV's interrelated performances are described to construct path searching constraints, and variable planning time intervals are introduced to generate navigable flight paths only when necessary.

On the basis of a novel adaptability-involved problem statement, bi-level programming (BLP) and variable planning step techniques are introduced to model the necessary path planning components and then an adaptive path planner is developed for the purpose of adaptation and optimization.

As an additional variable, planning predicted the consumption of foods low in saturated fats directly and also mediated the intention behaviour and perceived behavioural control behaviour relationships, suggesting an important role for planning as a post-intentional construct determining healthy eating choices.

For most (16 out of 20) response variables, plans ranked either directly or inversely to the extent of even-aged management.

The weighted kernel deconvolution approach is employed for measurement error adjustment and a new procedure for designing a variables plan allowing for uncertainty in the shape parameters of the underlying distribution is developed.

Evolutionary operations is a method to exploit the association of often small changes in process variables, planned during systematic experimentation and occurring during the normal production flow, to production characteristics to find a way to alter the production process to be more efficient.

The sample size is calculated based on the number of anticipated explanatory variables planned for inclusion in the logistic regression model.

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