Keyword: forecasting: applications

Found 1283 papers in total
Neural network forecasting of Canadian GDP growth
Neural network forecasting of Canadian GDP growth
2001,
The objective of this paper is to improve the accuracy of financial and monetary...
Forecasting market shares from models for sales
Forecasting market shares from models for sales
2001,
Dividing forecasts of brand sales by a forecast of category sales, when they are...
The forecasting accuracy and determinants of football rankings
The forecasting accuracy and determinants of football rankings
2001,
Numerous models vie to explain the extent to which and the manner in which people use...
Long lead-time forecasting of UK air passengers by Holt–Winters methods with damped trend
Long lead-time forecasting of UK air passengers by Holt–Winters methods with damped trend
2001,
Planning decisions for air transport infrastructure require forecasts of air passenger...
Forecasting voting behaviour using machine learning – Poland in transition
Forecasting voting behaviour using machine learning – Poland in transition
2000,
The aim of the paper is to apply some inductive learning method from examples (which...
A ratings based Poisson model for World Cup soccer simulation
A ratings based Poisson model for World Cup soccer simulation
2000,
In this paper a method is suggested for predicting the distribution of scores in...
Overstated quarterly earnings and analysts' earnings forecast revisions
Overstated quarterly earnings and analysts' earnings forecast revisions
1995,
A primary purpose of accounting is to provide information for decision makers....
A combined forecast–inventory control procedure for spare parts
A combined forecast–inventory control procedure for spare parts
2000,
This paper examines the performance of two different ( s, Q ) inventory models, namely...
Forecasting policies for scheduling a stochastic due date job shop
Forecasting policies for scheduling a stochastic due date job shop
2000,
This work studies the problem of scheduling a production plant subject to uncertain...
k-server problems with bulk requests: An application to tool switching in manufacturing
k-server problems with bulk requests: An application to tool switching in manufacturing
2000,
The classical k -server problem has been widely used to model two-level memory systems...
Artificial neural network for forecasting residential electrical energy
Artificial neural network for forecasting residential electrical energy
1999,
An artificial neural network (ANN) model for forecasting the residential electrical...
Predictable variation and profitable trading of US equities: A trading simulation using neural networks
Predictable variation and profitable trading of US equities: A trading simulation using neural networks
2000,
A switching rule conditioned on out-of-sample one-step-ahead predictions of returns is...
A minimal model for forest fire regimes
A minimal model for forest fire regimes
1999,
We show in this article how the characteristics of fire recurrence in forests can be...
Airline spill analysis – beyond the normal demand
Airline spill analysis – beyond the normal demand
2000,
Most research on airline passenger spill has assumed a normal distribution for the...
Adaptive estimation of daily demands with complex calendar effects for freight transportation
Adaptive estimation of daily demands with complex calendar effects for freight transportation
2000,
We address the problem of forecasting spatial activities on a daily basis that are...
Forecasting ski demand: Comparing learning curve and varying parameter coefficient approaches
Forecasting ski demand: Comparing learning curve and varying parameter coefficient approaches
1999,
Demand for skiing expanded rapidly in the 1980s, fell quite dramatically at the start...
Formulation and estimation of combined network equilibrium models with applications to Stockholm
Formulation and estimation of combined network equilibrium models with applications to Stockholm
1999,
Combined network equilibrium models of trip distribution, modal split, and route...
Turning datamining into a management science tool: New algorithms and empirical results
Turning datamining into a management science tool: New algorithms and empirical results
2000,
This article develops and illustrates a new knowledge discovery algorithm tailored to...
A note on predicting returns using bilinear ARMA models
A note on predicting returns using bilinear ARMA models
1999,
In this note, a bilinear ARMA model is compared with the standard AR and ARMA models...
Quantifying the bullwhip effect in a simple supply chain: The Impact of forecasting, lead times, and information
Quantifying the bullwhip effect in a simple supply chain: The Impact of forecasting, lead times, and information
2000,
An important observation in supply chain management, known as the bullwhip effect,...
An intelligent business forecaster for strategic business planning
An intelligent business forecaster for strategic business planning
1999,
In this paper an intelligent business forecaster for strategic business planning is...
R&D concept decision analysis: Using alternate futures for sensitivity analysis
R&D concept decision analysis: Using alternate futures for sensitivity analysis
1999,
The time from identification of new research and development (R&D) concepts to...
The impact of exponential smoothing forecasts on the bullwhip effect
The impact of exponential smoothing forecasts on the bullwhip effect
2000,
An important phenomenon often observed in supply chain management, known as the...
An evaluation of the predictions of the Federal Reserve
An evaluation of the predictions of the Federal Reserve
2000,
To successfully implement monetary policy, the Federal Reserve System (FED) must make...
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