Applied regression including computing and graphics.

*(English)*Zbl 0928.62045
New York, NY: Wiley. xxvi, 593 p. (1999).

This text is for readers who want to learn applied regression without loading heavy mathematical burden. For such a target group it is excellent. With emphasis on exploratory tools it starts with simple linear regression, then deals with multiple regression and goes to logistic regression and generalized linear models. It has discussions of response and predictor transformations, diagnostics, and regression graphics. Graphical methods are offered as the key to understanding the methods. In some sense the book can be seen as an introduction to and a guided tour through ARC. This is a free software package which can be downloaded from the web. All the graphics presented in the book can be performed with it.

Reviewer: R.Schlittgen (Hamburg)

##### MSC:

62Jxx | Linear inference, regression |

62-01 | Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics |

62-09 | Graphical methods in statistics (MSC2010) |

62-04 | Software, source code, etc. for problems pertaining to statistics |

##### Software:

ARC
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Cite

\textit{R. D. Cook} and \textit{S. Weisberg}, Applied regression including computing and graphics. New York, NY: Wiley (1999; Zbl 0928.62045)

##### References:

[1] | Cook, D., 1998. Regression Graphics: Ideas for Studying Regressions through Graphics. Wiley, New York. · Zbl 0903.62001 |

[2] | Neter, J., Kutner, M., Nachtsheim, C., Wasserman, W., 1996. Applied Linear Statistical Models. IRWIN, INC. |

This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.