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|a Applied linear regression /
|c Sanford Weisberg.
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|a 3rd ed.
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|a Hoboken, N.J. :
|b Wiley-Interscience,
|c ©2005.
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|a xvi, 310 pages :
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|a Wiley series in probability and statistics
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|a UPDATED
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|d 20210922
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|a "Applied Linear Regression, Third Edition has been thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, the Third Edition stresses the use of graphical methods in an effort to find appropriate models and to better understand them. In that spirit, most analyses and homework problems use graphs for the discovery of structure as well as for the summarization of results." "With its focus on graphical methods and analysis, coupled with many practical examples and exercises, this is an excellent textbook for upper-level undergraduates and graduate students, who will quickly learn how to use linear regression analysis techniques to solve and gain insight into real-life problems."--Jacket.
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| 504 |
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|a Includes bibliographical references (pages 293-299) and indexes.
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|a Scatterplots and regression -- Simple linear regression -- Multiple regression -- Drawing conclusions -- Weights, lack of fit, and more -- Polynomials and factors -- Transformations -- Regression diagnostics : residuals -- Outliers and influence -- Variable selection -- Nonlinear regression -- Logistic regression.
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|a Regression analysis.
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