Sentences with phrase «complex model forecasts»

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Complex Forecasting Models: ElectionForecast.co.uk (Chris Hanretty) Electoral Calculus (main and local election forecast) Forecast UK UK - Elect PME Politics (Patrick English) Nigel Marriot (Uniform Regional Swing + Tactical Voting Model) Chris Prosser (GE vote shares from Local elections vote shares) Lord Ashcroft (3 models based on different turnout estiModels: ElectionForecast.co.uk (Chris Hanretty) Electoral Calculus (main and local election forecast) Forecast UK UK - Elect PME Politics (Patrick English) Nigel Marriot (Uniform Regional Swing + Tactical Voting Model) Chris Prosser (GE vote shares from Local elections vote shares) Lord Ashcroft (3 models based on different turnout estimodels based on different turnout estimates)

This is because clouds have more - complex microphysics than the open sky, so even small errors in the models can cascade into large uncertainties in the forecast.

To forecast the winner, they obtained long - term winning odds of 22 online bookmakers, which in combination with complex statistical models allow for the simulation of all possible courses of the tournament and results.

This approach is often used to model large and complex systems, such as those in weather forecasts.

Stock analysts build complex forecast models with many phases of differing growth to better reflect real prospects.

Surf forecasting is a collection of meteorological data combined with complex algorithms and swell models to predict local surf conditions in advance.

Using complex algorithms, mathematics and historical data, these individually unique swell models decipher the information and produce the forecasts we see online.

ARIMA models that fit the data from 1880 to 1988 have a very complex covariance structure, which results in very wide CIs for the 2005 forecasts.

Rather, I recommend that they --- you --- become aware (to the best of your technical ability) of how these methods work, so you can use them in cases where they are most appropriate (these situations would include forecasting, multilevel modeling, inference for complex models with many parameters, and settings with weak data).

Observational constraints, model parameterizations, and complex interactions between the model and the observations all affect the subsequent precipitation forecast generated by the system.

In forecasting, he concluded that fairly simple models typically outperform complex ones.

These models, whether forecasting tools or global temperature models like Hansen's, take poorly understood descriptors of a complex system in the front end and wash them through a computer model to create apparent certainty and precision.

However, current forecast systems have limited ability on these timescales because models for such climate forecasts must take into account complex interactions among the ocean, atmosphere, and land surface, as well as processes that can be difficult to represent realistically.

However, any scientist will tell you that the climate is far too complex to model to the accuracy that would allow temperature forecasts.

Applying the framework of Delworth and Manabe (1988) to the more complex CESM system, we compare simple red noise null hypothesis models for soil moisture variations at various depth levels with an ensemble of perfect model forecasts conducted with the CESM.

Unlike forecasts of global warming, which are based on complex and incomplete computer models, the chemistry of carbon dioxide and seawater is simple and straightforward.

As weather forecasting has improved and proven the hypothesis that complex systems can be understood based on sets of mathematical rules, models are being increasingly used for a wide array of applications, from predicting global warming to determining the fate of pollutants released into the groundwater.

At heart of the new software are complex mathematical models that help firms forecast what it will cost to perform a certain project, and thereby determine if it makes sense to offer an alternative billing arrangement for that project such as a flat fee.

I enjoy solving complex business issues, and in my current role developed a standardized cost forecasting model which helped our team reduce report preparation time by 80 %.

Possess excellent leadership, communication, and interpersonal skills with management on any level and contributing additional successes to an organization Areas of Expertise: * Financial Planning & Analysis * Budgeting & Forecasting * Complex Financial Modeling * Financial Reporting *...

Expertise lies in strategic planning, funding (debt and capital), financial reporting, cash flow management, budgeting, forecasting, financial modeling, streamlining complex work processes, financial system conversion, excel dashboards, risk frameworks, risk compliance, value...

Over 10 years international experience in high technology environment providing financial management leadership for regional planning, including complex forecasting models, costing and cost accounting, budgeting of current, one, and five year plans, overseeing analytics, and capital expenditure projects.