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...

Using a controlled laboratory experiment, we test the effect of individual versus group when making judgmental forecasting adjustments. When individuals make decisions, especially that are exacting task like forecasting, they often feel anxious. Yet, when groups make decisions, they feel less...

We propose a Weibull mixture model considering both covariates and unobserved heterogeneity to examine how demographic variables affect individual survival times and to derive the annual number of deaths. We analyze the records of patients diagnosed with lung and bronchus cancer, the most common...

The repeated occurrences of interventions in observations make most forecasting models fail to produce appropriate forecasts. The purpose of this study is to propose the adaptive forecasting procedure based on sequential identifications of interventions and adjusting forecast to them in general...

Consumer's preference structure varies over product categories. For some durable goods, such as laptops and smartphones, consumers tend to distinguish a product from its competing ones by differences in several features ordered in their importance. This preference structure, so called...

This study suggests a model to forecast individual survival times with diagnosis record as covariates. The dataset is retrieved from the Surveillance, Epidemiology, and End Results (SEER) database of the National Cancer Institute. It consists of demographic variables such as individual age,...

During several decades, forward-looking behaviors for purchasing products have been actively discussed in marketing and demand forecasting literature. Forward-looking purchase behaviors basically stem from uncertainty of information. Particularly, uncertainty of future prices has been most...

Testing the existence of unit root and|or level change is necessary in order to understand the underlying processes of time series. In many studies carried out so far, the focus was only on a single aspect of unit root and level change, therefore limiting a full assessment of the given problems....