Wittink's slim regression text want out of print only a few years after it was first published. In my view, this is unfortunate, because it is well-suited for use in the kind of regression analysis course that one finds more and more frequently on college and university campuses. Specifically, students with little background in or talent for statistics are expected to have a sufficiently strong working knowledge of multiple regression analysis to enable them to do relatively simple but credible master's theses or doctoral dissertations in any one of a broad range of areas. These include nursing, dietetics, sports management, journalism, forensic science, educational leadership, and many others. Most regression texts, especially those produced by econometricians, are too mathematically demanding to be of value to these students. In addition, conventional regression texts typically cover comparatively esoteric topics which, in addition to being hard to learn, are unnecessary given the limited objectives of students in many applied disciplines. Wittink's text is just the sort that is needed for this special and growing group of students: it covers essential topics in a thorough but non-mathematical way; it avoids forays into arcane territory that is of value to students doing really sophisticated work, but is otherwise unnecessary; it is brief, inexpensive, and even students with little interest in statistics can use it as a self-teaching tool. Given the interests and objectives of the students I teach, I've found Wittink's book a difficult text to replace.
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