The phrase "allowed forecasting" is correct and usable in written English.
It can be used in contexts where you are discussing the permission or capability to make predictions or estimates about future events.
Example: "The new policy has allowed forecasting of sales trends for the upcoming quarter."
Alternatives: "permitted forecasting" or "authorized forecasting".
However, these models allowed forecast accuracies of 61.11% (E. faecium), 48.65% (S. aureus), 67.17% (K. pneumoniae), 73.02% (A. baumannii), 63.01% (P. aeruginosa) and 53.42% (Enterobacter species) (data not shown), that were much lower than those obtained using TVA algorithm (Table 1).
In addition, results lead to an exponential model that allows forecasting the mass loss as a function of time.
It provides formal means for combining hard data and subjective information and allows forecasting the abnormal actions in the form of mathematical models, which quantify epistemic (state-of-knowledge) uncertainties in characteristics of the actions.
The accurate models for air pollutant prediction are needed because such models would allow forecasting and diagnosing potential compliance or non-compliance in both short- and long-term aspects.
In this research, to improve the efficiency of the fire prediction process and make this service available to several users in a scalable and cost-effective manner, we propose a scalable Cloud based bushfire prediction framework, which allows forecasting of the probability of fire occurrences in different regions of interest.
It is an extended single exponential smoothing, which allows forecasting data with non-constant trends and seasonal variations.
For the unconditional relation (which allows forecasting returns from past order imbalance), our results are qualitatively in line with the literature, but the effects are weaker.
This allows forecasting of the likely uptake of various policy options, given particular policy characteristics.
This allows forecasting of, for instance, the likely level of uptake of screening given particular test characteristics, policy criteria and socio-demographic characteristics.
This allows forecasting of, for instance, the level of adherence that could be expected given a fixed set of attributes (eg, cost, effectiveness and side-effects) and contextual and socio-demographic characteristics.
