This book should be of interest to degree and diploma students taking applied calculus courses in departments of business studies, economics and the social sciences.
This text fills a gap between traditional cognitive psychology textbooks and independent reading of scientific journals. The author presents a balanced collection of classic articles from the '50s and
Highly praised for its clarity and great examples, Weiers's text takes an informal, student-oriented approach to fundamental statistical concepts. Non-technical terminology is used to describe statist
MULTIVARIATE STATISTICAL METHODS fills a void in the marketplace, striking a crucial balance between the technical information and real-world applications of multivariate statistics. Donald Morrison h
This book contains 49 real-world cases based on the authors experience and the experience of colleagues in service operations. Each case focuses on decision-making in a action-oriented setting and req
Get on media's cutting edge today. MASS COMMUNICATION THEORY: FOUNDATIONS, FERMENT, AND FUTURE introduces you to both current and classical mass communication theories, and explains the media literacy
Intended for use as a core text or to supplement any introductory or intermediate level statistics course, this book presents the basics of the SAS system in a well-paced, structured, non-threatening
This revised and updated text offers an integrative model of sales management and includes discussions of the buying-selling process, strategic planning and national account management.
Based on their popular book, A COURSE IN BUSINESS STATISTICS, this condensed text by William Mendenhall, Robert J. Beaver, and Barbara M. Beaver emphasizes the important concepts and methods of statis
PROBABILITY AND STATISTICS FOR ENGINEERS provides a one-semester, calculus-based introduction to engineering statistics that focuses on making intelligent sense of real engineering data and interpreti
This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniqu