Recognizing uncertainty in LEP IQ and in trends in BLL, we performed two types of sensitivity analysis to increase the accuracy of our estimates.
GBTA is a form of latent class analysis for continuous outcomes based on the assumption that the population is a mixture of distinct groups defined by common change over time, while recognizing uncertainty in group membership.
A monitored decision framework recognizes uncertainties in the geological storage system and allows design decisions to be made with the knowledge that planned long-term observations and their interpretation will provide information to decrease the uncertainties, as well as providing contingencies for all envisioned outcomes of the monitoring program.
Echoing that sentiment, the API memo stated: "Victory will be achieved when: average citizens 'understand' (recognize) uncertainties in climate science".
Indeed, in the current constantly changing environment, it is a great advantage for organizations to recognize uncertainty as an important factor to consider in its operation.
It is proposed to recognize uncertainty in the spatial positions of the clients, and possible spatial autocorrelation as well, by considering the random inputs of the optimization as one realization of a spatial marked point process.
This study developed a model with literature values for variables and, where no values existed, used large error bounds to recognize uncertainty.
In our study, this led to recognized uncertainty in interpretation of the effects of plant life history and domatia production on ant-plant mutualisms and suggested that recent studies examining these systems may have misidentified the causes of variation in effect sizes.
An effective polytope integration method for evaluation of expected values and variances of revenue is adopted which can account for the effects of demand uncertainties on revenue while recognizing the uncertainty in inventory over time.
Identifying sensitivities from these complex input model parameters and recognizing key uncertainties are crucial and challenging for basin modeling development and applications.
To face this important challenge, we encourage both scientists and policy-makers to adopt a more conservative attitude toward temporal baselines for biodiversity by explicitly recognizing the uncertainties associated with current limitations.
