We revisit the question of why some participants in online auctions place their bids right before the time of closing. Using e-Bay data for two product cate...

Finding modules, or clusters, in networks currently attracts much attention in several domains. The most studied criterion for doing so, due to Newman and Gi...

Given a set of entities associated with points in Euclidean space, minimum sum-of-squares clustering (MSSC) consist in partitioning this set into clusters su...

The paper revisits the advertising differential game suggested by G. Leitmann and W. E. Schmitendorf in their paper "Profit Maximization Through Advertising...

Should manufacturers of durable products such as automobiles and household appliances offer cash rebates to all consumers at the time of purchase, or offer t...

This research assesses the impact of the various states of mind of Flow psychological theory (Csíkszentmihályi 1990) in relation to brand recall and recognit...

This paper presents a model for identifying general goals of anonymous consumers visiting a retail website. When visiting a transactional website, consumers ...

There has been a wide interest to extend univariate and multivariate nonparametric procedures to clustered and hierarchical data. Traditionally, parametric m...

Top-tier customers - that is, those 20% of customers that typically bring in 80% of all profits - are extremely valuable to companies. In the many instances ...

Minimum sum-of-squares clustering (MSSC) consists in partitioning a given set of <i>n</i> points into <i>k</i> clusters in order to minimize the sum of squar...

Methods, models, heuristic and exact algorithms for clustering are reviewed from a mathematical programming view point.

A recent proof of NP-hardness of Euclidean sum-of-squares clustering, due to Drineas et al., <i>Machine Learning</i> 56, 9--33, 2004, is not valid. An altern...

Horizontal cooperation among franchisees is now a well-known reality in franchising, as exemplified by the growing number of franchisee associations and adve...

We consider a duopolistic industry where the current sales of each firm is proportional to its goodwill stock. The evolution of the latter depends positivel...

Minimum sum-of-squares clustering consists in partitioning a given set of <i>n</i> points into <i>c</i> clusters in order to minimize the sum of squared dist...

The aim of this paper is to characterize cooperative and noncooperative advertising strategies of a licensor and licensee involved in a licensing contract ...

A weighted multivariate signed-rank test is introduced for an analysis of multivariate clustered data. Observations in different clusters may then get diffe...

In this paper, we propose a tree-based method for multivariate outcomes consisting in a mixture of categorical and continuous responses. The split function...

This paper attempts to shed an empirical light on so-called jump bidding in ascending auctions. There is a jump when a participant in an auction outbids t...

In this paper, we consider the nonparametric Behrens-Fisher problem with cluster correlated data. A class of weighted Mann-Whitney test statistics are intr...