Regression with graphics: a second course in applied statistics

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Brooks/Cole Pub. Co., 1992 - Mathematics - 363 pages
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This text demonstrates how computing power has expanded the role of graphics in analyzing, exploring, and experimenting with raw data. It is primarily intended for students whose research requires more than an introductory statistics course, but who may not have an extensive background in rigorous mathematics. It's also suitable for courses with students of varying mathematical abilities.Hamilton provides students with a practical, realistic, and graphical approach to regression analysis so that they are better prepared to solve real, sometimes messy problems. For students and professors who prefer a heavier mathematical emphasis, the author has included optional sections throughout the text where the formal, mathematical development of the material is explained in greater detail.REGRESSION WITH GRAPHICS is appropriate for use with any (or no) statistical computer package. However, Hamilton used STAT A in the development of the text due to its ease of application and sophisticated graphics capabilities. (STATA is available in a student package from Duxbury including a tutorial by the same author: Hamilton, STATISTICS WITH STAT A, 5.0, 1998; ISBN: 0-534-31874-6.)

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Basics of Multiple Regression
Regression Criticism

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About the author (1992)

Dr. Hamilton received his Ph.D. in Sociology from the University of Colorado at Boulder in 1978. He has taught statistics courses from undergraduate to advanced graduate levels at the University of New Hampshire and has written numerous statistics texts and software manuals, including MODERN DATA ANALYSIS, REGRESSION WITH GRAPHICS, and DATA ANALYSIS FOR SOCIAL SCIENTISTS. These books take an applied, data-oriented approach to understanding statistical methods and the analytical process. Dr. Hamilton's current research concerns climate change and environment-society interactions in the Arctic.

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