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## Details

Genre/Form: | Electronic books |
---|---|

Additional Physical Format: | Print version: Perrett, Jamis J. SAS/IML companion for linear models. New York : Springer, ©2010 (OCoLC)462920229 |

Material Type: | Document, Internet resource |

Document Type: | Internet Resource, Computer File |

All Authors / Contributors: |
Jamis J Perrett |

ISBN: | 9781441955579 1441955577 1441955569 9781441955562 |

OCLC Number: | 663097012 |

Description: | 1 online resource (xiv, 228 pages) : illustrations. |

Contents: | SAS/IML: A brief introduction -- IML language structure -- IML programming features -- Matrix manipulations in SAS/IML -- Mathematical and statistical basics -- Linear algebra -- The Multivariate Normal Distribution -- The General Linear Model -- Linear mixed models -- Statistical Computational Methods -- In summary. |

Series Title: | Statistics and computing. |

Responsibility: | Jamis J. Perrett. |

### Abstract:

## Reviews

*Editorial reviews*

Publisher Synopsis

From the reviews: "This book is intended to bridge the gap between the derivation of formulas and analysis that hides these formulas behind soft but attractive user interfaces. ... The book contains examples of SAS code for many of the common computations necessary in a linear models course ... . At the end of each chapter there are exercises that can be assigned to students. My first impression is that this would be a great ... book to use in a linear models course." (William Seaver, Technometrics, Vol. 53 (1), February, 2011) "The book provides the SAS/IML code for implementing linear model computations based on matrix operations. ... a valuable resource for users who wish to understand all the necessary formulas behind linear models. ... chapter exercises encourage readers to rethink and to reapply the contents of the book, which is quite valuable for learners. ... might be more appropriate for graduate students in statistics ... . The brevity and readability of the exposition make the book very attractive." (Junfeng Shang, The American Statistician, May, 2011) Read more...

*User-contributed reviews*