Linear statistical models
Developed and refined over a period of twenty years, the material in this book offers an especially lucid presentation of linear statistical models. These models lead to what is usually called "multiple regression" or "analysis of variance" methodology, which, in turn, opens up a...
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| Format: | Unknown |
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New York
Wiley
1995
©1995 |
| Series: | The Wiley series in probability and statistics.
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| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
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| 020 | # | # | |a 0471571504 |q hardcover |
| 040 | # | # | |a UiTM |b eng |c UiTM |e rda |
| 090 | # | # | |a QA279 |b .S695 1995 |
| 100 | # | # | |a Stapleton, James H. |c 1931- |e author |
| 245 | # | # | |a Linear statistical models |c James H. Stapleton |
| 264 | # | 1 | |a New York |b Wiley |c 1995 |
| 264 | # | 1 | |c ©1995 |
| 300 | # | # | |a xiii, 449 pages |b illustrations |c 25 cm |
| 336 | # | # | |a text |2 rdacontent |
| 337 | # | # | |a unmediated |2 rdamedia |
| 338 | # | # | |a volume |2 rdacarrier |
| 490 | # | # | |a The Wiley series in probability and statistics. |p Probability and statistics |
| 500 | # | # | |a "A Wiley-Interscience publication." |
| 504 | # | # | |a Includes bibliographical references (page 401-407) and indexes |
| 520 | # | # | |a Developed and refined over a period of twenty years, the material in this book offers an especially lucid presentation of linear statistical models. These models lead to what is usually called "multiple regression" or "analysis of variance" methodology, which, in turn, opens up a wide range of applications to the physical, biological, and social sciences, as well as to business, agriculture, and engineering. Unlike similar books on this topic, Linear Statistical Models emphasizes the geometry of vector spaces because of the intuitive insights this approach brings to an understanding of the theory. While the focus is on theory, examples of applications, using the SAS and S-Plus packages, are included. Prerequisites include some familiarity with linear algebra, and probability and statistics at the postcalculus level. |
| 650 | # | 0 | |a Linear models (Statistics) |
| 856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=148745 |
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Linear models least squares and alternatives