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The state space model is widely used to handle time series data driven by related latent processes in many fields. In this article, we suggest a framework to examine the relationship between state space models and ARIMA models by examining the existence and positive-definiteness conditions...
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In a retail market where market competition is intensifying due to increases in the numbers of outlets, an understanding of patronage-shifting behavior is critical to improving the prediction accuracy of changes in the market shares of existing outlets. Our objective is to understand...
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This study investigates the impact of new store entry on market share of existing stores using store market share data and a spatial market response model. Retailers can gain insight into the role of store characteristics in retail competition and predict patronage shifting patterns using the...
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