The phrase "and forecast on a" is not complete and lacks context, making it difficult to determine its correctness in written English.
It could be used in contexts related to predictions or projections, typically in business, finance, or weather-related discussions.
Example: "The report includes data analysis and forecast on a quarterly basis."
Alternatives: "and prediction for a" or "and projection regarding a".
The report focuses on developments in international markets, giving comprehensive assessments and forecasts on a commodity by commodity basis.
The sub-title "Global Market Analysis" reflects this focus on developments in international markets, with comprehensive assessments and forecasts on a commodity by commodity basis.
TOKYO — Despite being mired in recalls and inquiries into its safety record, Toyota roared back to a profit in the fiscal year that just ended and forecast on Tuesday a further increase in earnings.
In fact, earlier this year Navigant Research released a market analysis and forecast on how effective batteries could have a significant impact on our grid.
Also, quantitative analyses are primarily focused on the analysis and forecast of a single parameter, sometimes without taking into consideration how variables and parameters may impact each other.
This paper models and analyses the effect of information sharing and forecasting on the performance parameters of an actual industrial supply chain consisting of Small-To-Medium sized enterprises.
Cisco's suppliers post quotes and forecasts on Cisco's website to create a form of real-time bidding.If contract manufacturing does come to dominate electronics, the industry will look very different.
The study by Song et al. (2011), based on data from Google Trends, indicated that online search volumes for a pre-IPO stock have better explanatory power and forecasting ability on a company's level of stock sales, excess returns on the first day of trading, and long-term performance.
In order to grasp the internal structure of the system load and improve the forecasting accuracy, we introduce a data-driven method to conduct modelling and forecasting based on a large quantity of substation load data.
This process caused all types of inefficiencies, since demand for specific items and sizes is difficult to forecast on a store level.
