The use of hierarchical Bayesian spatial models in the analysis of ecological data is increasingly prevalent. The implementation of these models has been heretofore limited to specifically written software that required extensive programming knowledge to create. The advent of WinBUGS provides...

This research investigates the impact of a large-scale assortment reduction on customer retention, utilizing a model we develop to explore the effect on sales at both the store level and the category level simultaneously. We apply our model to a data set provided by an online grocer. The data...

A large body of literature studies the issues of the option price and other ex-antewelfare measures under the microeconomic theory to valuate reductions of risks inherentin environment and human health. However, it does not offer a careful discussion of howto estimate risk reduction values using...

ABSTRACT Much is known about the process of sponsorship selection with respect to the key personnel involved in the buying decision and also about the strategic objectives for sponsorship. However, few investigations have focused on how sponsors assess the relative value of different sponsorship...

Knappe Ressourcen bei Marketing Instrumenten wie Verkaufszeit, Werbebudget oder Regalplatz werden durch die Regel Elastizität × Deckungsbeitrag optimal aufgeteilt. Häufig empfehlen die Autoren, entsprechende Parameter aufgrund teurer Erhebungsmethoden oder zu kurzer Erhebungszeiträume...

In a large scale survey, we are usually concerned with estimation ofsome characteristics of interest for a large area (e.g., a country).But we are frequently interested in estimating similarcharacteristics for a subpopulation using the same survey data. Thedirect survey estimator which utilizes...

Small area estimation techniques have typically relied on plug-in estimation based on models containing random area effects. More recently, regression M-quantiles have been suggested for this purpose, thus avoiding conventional Gaussian assumptions, as well as problems associated with the...

Unbiased direct estimators for small area quantities are usually considered too variable to be of any practical use. In this paper we propose a class of model-based direct estimators for small area quantities that appears to overcome this objection, in the sense that these estimators are...