Sentence examples for development of forecasts from inspiring English sources

Exact(2)

A primary concern of time series analysis is the development of forecasts for future values of the series.

NOAA is now operating a demonstration forecast project for cyanobacteria HABs in Lake Erie and is coordinating development of forecasts for HABs of the dinoflagellate Karlodinium veneficum in the Chesapeake Bay and of Pseudo-nitzschia on the Washington coast.

Similar(58)

Years ago, I got interested in the work of Ray Fair, a Yale economist who pioneered the development of forecasting elections based upon a few simple economic statistics, such as G.D.P. growth, inflation, and unemployment.

We also examine the implications of our results for the development of forecast rationality tests, extending the work of Batchelor and Peel [1998. Economics Letters 61, 49 54].

Brought to you by the same guys who built Dark Sky (which is already one of the prettiest native weather apps), Forecast is a rather remarkable demonstration of what web apps — in both mobile and standard form — can do with good scripting and solid design (You can read all about the development of Forecast here).

It is imperative that any terms used in the development of forecasting models are heavily screened to address the complexities of the driving forces behind health-information seeking and routinely re-evaluated to account for any shifts in search behaviour which may occur [ 4].

Some projects included the development of forecasting tools that used environmental data to predict pathogen outbreaks, some focused on emergency preparedness for extreme weather events, and others involved developing databases to help improve the assessment of air pollution impacts on morbidity and mortality.

The development of these forecasts cannot be based on mere transfer of experience from other airports, particularly in the modern era of wide regulatory reforms, liberalization of the aviation market and increasing airport competition.

The objective of this paper is to critically examine scientific approaches to flood forecasting under deep uncertainty and ambiguity as input to flood policy, and to explore alternative approaches to the development of better forecasts along with the necessary organizational support.

This would include use of observing systems and models in the development of HAB forecasts.

Also, more research examining differences in practice characteristics, and patient/service mix, is warranted in order to support the development of robust forecasts of physician supply.

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