Marketing Research and Modeling addresses state of the art developments including new techniques and methodologies by leading experts in marketing and marketing research. This work emphasizes new developments in Bayesian Decision Analysis, Multivariate Analysis, Multidimensional Scaling, Conjoint Analysis, Applications of Conjoint and MDS technique, Data Mining, Cluster Analysis, and Neural Networks.

Product sales, especially for new products, are influenced by many factors. These factors are both internal and external to the selling organization, and are both controllable and uncontrollable. Due to the enormous complexity of such factors, it is not surprising that product failure rates are relatively high. Indeed, new product failure rates have variously been reported as between 40 and 90 percent.
Despite this multitude of factors, marketing researchers have not been deterred from developing and designing techniques to predict or explain the levels of new product sales over time. The...

This text describes marketing models that managers can use as an aid in decision making. Even simple models outperform human judgements in predicting outcomes in a wide variety of contexts. More complex models potentially provide insights about structural relations not available from casual observations. Although marketing models are now widely accepted, the quality of the marketing decisions is critically dependent upon the quality of the models on which those decisions are based. In this book, which is a revision and expansion of Naert and Leeflang's Building Implementable Marketing Models...

This book is about marketing models and the process of model building. Our primary focus is on models that can be used by managers to support marketing decisions. It has long been known that simple models usually outperform judgments in predicting outcomes in a wide variety of contexts. For example, models of judgments tend to provide better forecasts of the outcomes than the judgments themselves (because the model eliminates the noise in judgments). And since judgments never fully reflect the complexities of the many forces that influence outcomes, it is easy to see why models of actual...

From 1976 to the beginning of the millennium covering the quarter-century life span of this book and its predecessor something remarkable has happened to market response research: it has become practice. Academics who teach in professional fields, like we do, dream of such things. Imagine the satisfaction of knowing that your work has been incorporated into the decision-making routine of brand managers, that category management relies on techniques you developed, that marketing management believes in something you struggled to establish in their minds. It s not just us that we are talking...

Modern marketing techniques in industrialized countries cannot be implemented without segmentation of the potential market. Goods are no longer produced and sold without a significant consideration of customer needs combined with a recognition that these needs are heterogeneous. Since first emerging in the late 1950s, the concept of segmentation has been one of the most researched topics in the marketing literature. Segmentation has become a central topic to both the theory and practice of marketing, particularly in the recent development of finite mixture models to better identify market...

Bernard R. Gifford In the United States, the standardized test has become one of the major sources of information for reducing uncertainty in the determination of individual merit and in the allocation of merit-based educational, training, and employment opportunities. Most major institutions of higher education require applicants to supplement their records of academic achievements with scores on standardized tests. Similarly, in the workplace, as a condition of employment or assignment to training programs, more and more employers are requiring prospective employees to sit for standardized...

Computer vision is one of the most complex and computationally intensive problem. Like any other computationally intensive problems, parallel pro cessing has been suggested as an approach to solving the problems in com puter vision. Computer vision employs algorithms from a wide range of areas such as image and signal processing, advanced mathematics, graph theory, databases and artificial intelligence. Hence, not only are the comput ing requirements for solving vision problems tremendous but they also demand computers that are efficient to solve problems exhibiting vastly dif ferent...

Any Chainnan of the British Post Office dwells in the shadow of Rowland Hill, and, if he were an honest man, he probably from time to time, while singing the praises of Rowland Hill, as is his due, thinks a silent thought of sympathy for his predecessor Colonel Maberly, the head of the Post Office, the Champion of established orthodoxy, the leader of the Professionals, who had to endure the irresistible force of Hill's arguments combined with his skills as a pamphleteer, agitator, and political propagandist. My favorite passage of the book Royal Mail by Martin Daunton (1985) shows how much...