Keyword: forecasting: applications

Found 1283 papers in total
Using clustering to improve sales forecasts in retail merchandising
Using clustering to improve sales forecasts in retail merchandising
2010,
Given sales forecasts for a set of items along with the standard deviation associated...
Do forecasts expressed as prediction intervals improve production planning decisions?
Do forecasts expressed as prediction intervals improve production planning decisions?
2010,
A number of studies have shown that providing point forecasts to decision makers can...
Predicting joint choice using individual data
Predicting joint choice using individual data
2010,
Choice decisions in the marketplace are often made by a collection of individuals or a...
Short-term traffic flow forecasting using fuzzy logic system methods
Short-term traffic flow forecasting using fuzzy logic system methods
2008,
A variety of short-term traffic flow forecasting methods have been developed in the...
A computerized feature selection method using genetic algorithms to forecast freeway accident duration times
A computerized feature selection method using genetic algorithms to forecast freeway accident duration times
2010,
This study presents a feature selection method that uses genetic algorithms to create...
Forecasting demand for educational material for adult learners in Mexico
Forecasting demand for educational material for adult learners in Mexico
2010,
This paper is about the development of a forecasting model that has been used in the...
Visitor profile, satisfaction levels and clustering of tourists for decision making in Michoacan, Mexico
Visitor profile, satisfaction levels and clustering of tourists for decision making in Michoacan, Mexico
2010,
The state of Michoacán, one of the states with the lowest economic development...
An adaptive network-based fuzzy inference system for short-term natural gas demand estimation: Uncertain and complex environments
An adaptive network-based fuzzy inference system for short-term natural gas demand estimation: Uncertain and complex environments
2010,
Accurate short-term natural gas (NG) demand estimation and forecasting is vital for...
Forecasting service parts demand for a discontinued product
Forecasting service parts demand for a discontinued product
2008,
Stochastic demand forecasting methods for service parts of a discontinued product are...
Retail default prediction by using sequential minimal optimization technique
Retail default prediction by using sequential minimal optimization technique
2009,
This paper employed sequential minimal optimization (SMO) to develop default...
Volatility forecasting with double Markov switching GARCH models
Volatility forecasting with double Markov switching GARCH models
2009,
This paper investigates inference and volatility forecasting using a Markov switching...
Can consumer sentiment and its components forecast Australian GDP and consumption?
Can consumer sentiment and its components forecast Australian GDP and consumption?
2009,
This paper examines whether the disaggregation of consumer sentiment data into its...
A threshold factor multivariate stochastic volatility model
A threshold factor multivariate stochastic volatility model
2009,
A new multivariate stochastic volatility model is developed in this paper. The main...
Evaluating volatility dynamics and the forecasting ability of Markov switching models
Evaluating volatility dynamics and the forecasting ability of Markov switching models
2009,
This paper uses Markov switching models to capture volatility dynamics in exchange...
A probabilistic approach for predicting corrosion initiation time for RC (reinforced concrete) members considering effect of temperature and relative humidity
A probabilistic approach for predicting corrosion initiation time for RC (reinforced concrete) members considering effect of temperature and relative humidity
2008,
Corrosion initiation time of steel reinforcement in partially saturated concrete...
Extended beta-binomial model for demand forecasting of multiple slow-moving inventory items
Extended beta-binomial model for demand forecasting of multiple slow-moving inventory items
2008,
This article considers the problem of modelling the lead-time demand for multiple...
Mathematical models of inter-plant economical operation of a cascade hydropower system in electricity market
Mathematical models of inter-plant economical operation of a cascade hydropower system in electricity market
2009,
Regional operation of the electricity market has begun in China. With the development...
Enhancing inflow forecasting model at Aswan High Dam utilizing radial basis neural network and upstream monitoring station measurements
Enhancing inflow forecasting model at Aswan High Dam utilizing radial basis neural network and upstream monitoring station measurements
2009,
The Nile River is considered the main life artery for so many African countries...
Analyzing information value of temperature forecast for the electricity demand forecasts
Analyzing information value of temperature forecast for the electricity demand forecasts
2009,
It is the most important success factor for the electricity generation industry to...
Forecasting value‐at‐risk with a parsimonious portfolio spillover GARCH (PS‐GARCH) model
Forecasting value‐at‐risk with a parsimonious portfolio spillover GARCH (PS‐GARCH) model
2008,
Accurate modelling of volatility (or risk) is important in finance,...
Forecasting exchange rate volatility: a multiple horizon comparison using historical, realized and implied volatility measures
Forecasting exchange rate volatility: a multiple horizon comparison using historical, realized and implied volatility measures
2009,
Recent studies suggest realized volatility provides forecasts that are as good as...
Residual income, non‐earnings information, and information content
Residual income, non‐earnings information, and information content
2009,
We extend Ohlson's (1995) model and examine the relationship between returns...
Variable selection and oversampling in the use of smooth support vector machines for predicting the default risk of companies
Variable selection and oversampling in the use of smooth support vector machines for predicting the default risk of companies
2009,
In the era of Basel II a powerful tool for bankruptcy prognosis is vital for banks....
Mortality forecasting using neural networks and an application to cause‐specific data for insurance purposes
Mortality forecasting using neural networks and an application to cause‐specific data for insurance purposes
2009,
Mortality forecasting is important for life insurance policies, as well as in other...
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