Sentence examples for this type of predictions from inspiring English sources

More precisely, an existing Weibull model is generalized and adapted to this type of predictions via compatibility and functional equations techniques.

This type of predictions is frequently derived from forward deductions, especially when the observed mRNA is the only precursor of the predicted protein.

This type of prediction may be used to predict the probability of an event for a new member of an existing cluster, i.e. a cluster that belongs to the dataset that was used to fit the random effects model.

[The teacher should emphasize that particular types of data are more conducive to this type of prediction, such as constant growth rate or linear growth.

And there is broad support, according to the minutes, for formalizing this type of prediction by regularly publishing a forecast of short-term rates.

This type of prediction is often based on accelerated ageing and tests in indoor condition.

In this type of prediction structures, the pictures of the temporal base layer are coded in regular intervals using only previous pictures within the temporal base layer as references.

However, whilst a variety of positive results have been published, some strong criticisms of socially generated predictions have also been raised, particularly in the field of electoral prediction (which, perhaps because of the widespread availability of validation data or because of its importance for conventional opinion polling has been the most frequent application of this type of prediction).

The known values of the function up to the point Y = X are used to predict the value at some point in the future Y = X + P. The standard method for this type of prediction is to create a mapping from D points of the function spaced Δ apart, that is,, to a predicted future value Y(X + P).

From a statistical point of view, as reviewed by Simon [14], this type of prediction is a complicated problem and many factors, such as gene selection rules, sample resubstitution approaches, sample size concerns, and classification methods are involved.

Indeed one small-scale study already suggests that this type of prediction may be feasible using a metabolomics approach [ 76].