Keyword: forecasting: applications

Found 1283 papers in total
Multivariate Bayesian Regression Approach to Forecast Releases from a System of Multiple Reservoirs
Multivariate Bayesian Regression Approach to Forecast Releases from a System of Multiple Reservoirs
2011,
This research presents a model that simultaneously forecasts required water releases 1...
Wavelet Regression Model as an Alternative to Neural Networks for River Stage Forecasting
Wavelet Regression Model as an Alternative to Neural Networks for River Stage Forecasting
2011,
We present a novel variant of decision making based on the mathematical theory of...
State‐of‐the art of freight forecast modeling: lessons learned and the road ahead
State‐of‐the art of freight forecast modeling: lessons learned and the road ahead
2010,
In this paper we review freight forecasting models and current advances and needs with...
Similarity‐Based Optimal Operation of Water and Sediment in a Sediment‐Laden Reservoir
Similarity‐Based Optimal Operation of Water and Sediment in a Sediment‐Laden Reservoir
2010,
Reservoir sedimentation is a severe problem because it leads to the loss of reservoir...
SPS tools for capital project planning analysis
SPS tools for capital project planning analysis
2010,
This paper presents the development of a Special Purpose Simulation (SPS)...
Derivation of Probabilistic Thresholds of Spatially Distributed Rainfall for Flood Forecasting
Derivation of Probabilistic Thresholds of Spatially Distributed Rainfall for Flood Forecasting
2010,
‘Rainfall threshold’ is considered as one of the evolving flood...
Estimation method for railway passengers' train choice behavior with smart card transaction data
Estimation method for railway passengers' train choice behavior with smart card transaction data
2010,
Smart card systems have become the predominant method of collecting public transport...
A study of the optimal procurement to determine the quantities of spare parts under the budget constraint
A study of the optimal procurement to determine the quantities of spare parts under the budget constraint
2010,
It is very important to forecast demand and determine the optimal procurement...
Competition and Cooperation in a Two-Stage Supply Chain with Demand Forecasts
Competition and Cooperation in a Two-Stage Supply Chain with Demand Forecasts
2010,
We consider a serial supply chain with one supplier and one retailer. Each obtains...
Improving New-Product Forecasting at Intel Corporation
Improving New-Product Forecasting at Intel Corporation
2010,
Forecasting demand for new products is becoming increasingly difficult as the...
Do inventory and gross margin data improve sales forecasts for U.S. public retailers?
Do inventory and gross margin data improve sales forecasts for U.S. public retailers?
2010,
Firm-level sales forecasts for retailers can be improved if we incorporate cost of...
Does a manufacturer benefit from selling to a better-forecasting retailer?
Does a manufacturer benefit from selling to a better-forecasting retailer?
2010,
This paper considers a manufacturer selling to a newsvendor retailer that possesses...
Feature selection for support vector machine in financial crisis prediction: a case study in China
Feature selection for support vector machine in financial crisis prediction: a case study in China
2010,
Corporate financial crisis forecasting plays an increasingly important role in the...
Forecasting classification of operating performance of enterprises by probabilistic neural network
Forecasting classification of operating performance of enterprises by probabilistic neural network
2010,
Classification of operating performance of the enterprises is not only a hot issue...
Testing homogeneity of Japanese CPI forecasters
Testing homogeneity of Japanese CPI forecasters
2010,
This paper investigates whether some forecasters consistently outperform others using...
Forecasting business failure in China using case‐based reasoning with hybrid case respresentation
Forecasting business failure in China using case‐based reasoning with hybrid case respresentation
2010,
Case‐based reasoning (CBR) is a very effective and easily...
New evidence on the relation between return volatility and trading volume
New evidence on the relation between return volatility and trading volume
2010,
In the empirical literature, it has been shown that there exists both linear and...
An integrated fuzzy regression algorithm for improved electricity consumption estimation
An integrated fuzzy regression algorithm for improved electricity consumption estimation
2010,
This study presents an integrated fuzzy regression and time-series technique to...
Incorporating ARIMA forecasting and service-level based replenishment in RFID-enabled supply chain
Incorporating ARIMA forecasting and service-level based replenishment in RFID-enabled supply chain
2010,
This paper focuses on the global supply chain of a company in Taiwan (referred to as...
Prerelease demand forecasting for motion pictures using functional shape analysis of virtual stock markets
Prerelease demand forecasting for motion pictures using functional shape analysis of virtual stock markets
2010,
Prerelease demand forecasting is one of the most crucial yet difficult tasks facing...
Forecasting volatility in the presence of model instability
Forecasting volatility in the presence of model instability
2010,
Recent advances in financial econometrics have allowed for the construction of...
Forecasting key macroeconomic variables from a large number of predictors: a state space approach
Forecasting key macroeconomic variables from a large number of predictors: a state space approach
2010,
We use state space methods to estimate a large dynamic factor model for the Norwegian...
A monetary real‐time conditional forecast of euro area inflation
A monetary real‐time conditional forecast of euro area inflation
2010,
Based on a vector error correction model we produce conditional euro area inflation...
Forecasting volatility with support vector machine‐based GARCH model
Forecasting volatility with support vector machine‐based GARCH model
2010,
Recently, support vector machine (SVM), a novel artificial neural network...
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