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Applied regression analysis A second course in business and economic statistics par Dielman, Terry E. Publication : Mason South-Western 2005 . 424 p. , APPLIED REGRESSION ANALYSIS focuses on the application of regression to real data and examples while employing commercial statistical and spreadsheet software. Designed for both business/economics undergraduates and MBAs, this text provides all of the core regression topics as well as optional topics including ANOVA, Time Series Forecasting, and Discriminant Analysis. While only a prior introductory statistics course is required, a review of all necessary basic statistics is provided in chapter 2. The text emphasizes the importance of understanding the assumptions of the regression model, knowing how to validate a selected model for these assumptions, knowing when and how regression might be useful in a business setting, and understanding and interpreting output from statistical packages and spreadsheets. 24 cm. Date : 2005 Disponibilité : Exemplaires disponibles: La bibliothèque des Sciences Exactes et Naturelles (1),

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Applied statistics in business & economics / par Doane, David P. Publication : New York McGraw-Hill/Irwin 2009 . xv, 834 p. , Applied Statistics in Business & Economics 2e provides a comprehensive introduction to Statistics concepts and applications in business and economics. The text and Student CD provide state of the art integration of technology in order to focus on the important practical concepts and applications as opposed to mechanics. 28 cm. Date : 2009 Disponibilité : Exemplaires disponibles: La bibliothèque des Sciences Exactes et Naturelles (3),

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Statistical techniques in business and economics / par Lind, Douglas. Publication : [S.l.] McGraw-Hill/Irwin 2006 . 859 p. , The new edition of Lind’s Statistical Techniques in Business and Economics is a perennial market best seller due to its comprehensive coverage of statistical concepts and methods delivered in a student-friendly, step-by-step format. The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Self reviews and exercises for each section, and review sections for groups of chapters also support the student learning steps. Modern computing applications (Excel, Minitab, and MegaStat) are introduced, but the text maintains a focus on presenting statistics concepts as applied in business as opposed to technology or programming methods. The thirteenth edition continues as a students’ text with increased emphasis on interpretation of data and results. 27 cm. Date : 2006 Disponibilité : Exemplaires disponibles: La bibliothèque des Sciences Exactes et Naturelles (4),

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