Examples of using Forecasting methods in English and their translations into Portuguese
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We wondered whether the bear experts' forecasting methods could be trusted.
Forecasting methods are divided into three categories: statistical, physical and hybrid.
The Models do not constitute scientific forecasting methods and do not deal with the physics of ice.
Studies were performed to identify and define the main demand forecasting methods.
These measurements will advance forecasting methods by providing data that can lead to better predictions of hurricane tracks, intensities and storm surges.
Defining goals for seasonal andtrend-driven indicators through the use of statistical forecasting methods.
Fortunately, the trustworthiness of the bear experts' forecasting methods is not just a question of opinion.
Performance data needs to begathered from multiple places, but many workforce management systems do not offer omnichannel forecasting methods.
The symptoms include getting error messages when running forecasting methods or not being able to get reports created.
This is why it is so important for an agreement to be in placebetween the Commission and each Member State as regards the scope of forecasts and forecasting methods.
This work turns to the study of forecasting methods in the scope of smart grids and the applicability of these methods in their intelligent behavior.
Focusing on modern and rigorous data analysis methods, this track covers regression analysis,time-series and forecasting methods, panel-data models, visualization techniques for big data and more.
There are several factors that should be considered in forecasting methods, climatic variables have a major influence on demand trends in the very short term, therefore, they should be incorporated into the projection model.
This research was concerned in discussing demand forecasting to new products and realized a study in order topropose an assortment of demand forecasting methods to new products considering the brazilian franchising system features.
Interpreting transits is one of the ancient astrological forecasting methods that can tell you which of your life's themes are likely to become particularly important at a given time.
In this context, this work presents an analysis of historical series as a starting point for forecasting future demand, based on analysis of historical data and considers the use of these time series,which constitutes the essence of the application of forecasting methods, contributes strongly support the process of decision making. the main methods of forecasting. .
Particularly, in recent years a variety of economic short-term forecasting methods have been developed that make use of the information provided in business and consumer surveys.
Management of the materials, services, andinformation flows, forecasting methods, distribution of resources, project management, production planning, transportation, inventory and warehousing management, international trade management, logistics information systems, port management, distribution channels and retail management, customer service management and reverse logistics are some examples of subjects of great importance to businesses, which are covered in the program.
In addition, you can get run risk-based Monte Carlo simulations and advanced forecasting methods, and perform optimization on a myriad of situations as well as structure and solve customized real options and financial options problems.
In addition, you can get run risk-based Monte Carlo simulations and advanced forecasting methods, and perform optimization on a myriad of situations as well as structure and solve customized real options and financial options problems.
In addition, the reader can get started quickly in running risk-based Monte Carlo simulations,run advanced forecasting methods, and perform optimization on a myriad of situations, as well as structure and solve customized real options and financial options problems.
Quantitative inputs for forecast methods and for decision support systems.
The forecast method to be used.
History forecast method.
Forecast Method.
We assessed direct and lagged correlations, volatilities andseason-off-season effect to create intelligence and forecast methods for commodities prices.
We added a new high-speed engine in our forecast methods and analytical tools.
The primary reason for combining forecasts of the same technology is to attempt to offset the weaknesses of one forecasting method with the strengths of another.
Reasons for combining forecasts===The primary reason for combining forecasts of the same technology is to attempt to offset the weaknesses of one forecasting method with the strengths of another.
Choose forecast method:- Schedule: Use the scheduled operations in forecast.- Average: Use average of the three previous months in forecast. .