A novel exposition of the analysis of variance and regression. The
key feature here is that these tools are viewed in their natural
mathematical setting - the geometry of finite dimensions. This is
because geometry clarifies the basic statistics and unifies the
many aspects of analysing variance and regression.
General
| Imprint: |
Springer-Verlag New York
|
| Country of origin: |
United States |
| Series: |
Springer Texts in Statistics |
| Release date: |
December 2012 |
| First published: |
1991 |
| Authors: |
David J. Saville
• Graham R. Wood
|
| Dimensions: |
235 x 155 x 29mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
561 |
| Edition: |
Softcover reprint of the original 1st ed. 1991 |
| ISBN-13: |
978-1-4612-6965-6 |
| Categories: |
Books >
Science & Mathematics >
Mathematics >
Applied mathematics >
General
|
| LSN: |
1-4612-6965-2 |
| Barcode: |
9781461269656 |
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