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This case-based approach text offers the most useful methods for analysis and forecasting. It describes methods for detecting patterns, trends, and relationships in data, and for projecting these patterns into the future. The methods explained are not mechanical and routine, but require judgment, experience, and practice. The aim is to make readers familiar with these methods by means of real, substantial, and challenging examples, problems, and cases.
Focusing on the principal methods for analysis and forecasting, the text is designed to fit two types of course design, the traditional
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Produktbeschreibung
This case-based approach text offers the most useful methods for analysis and forecasting. It describes methods for detecting patterns, trends, and relationships in data, and for projecting these patterns into the future. The methods explained are not mechanical and routine, but require judgment, experience, and practice. The aim is to make readers familiar with these methods by means of real, substantial, and challenging examples, problems, and cases.
Focusing on the principal methods for analysis and forecasting, the text is designed to fit two types of course design, the traditional approach for a technical course, or the approach frequently used in business courses. Examples, exercises, problems, and small and large cases are provided to fit into either or both approaches. An instructor s manual is available which includes solutions, author s notes of each case and possible alternatives, and the programs used by the author.
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Autorenporträt
Peter Tryfos is Professor of Management Science, Faculty of Administrative Studies, at York University, Ontario, Canada. He is the author of a text, Business Statistics, published in Canada by McGraw-Hill Ryerson, and a number of articles in applied statistics that have appeared in the Journal of the American Statistical Association, Management Science, Operations Research, and other journals.