| Title:
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COMPARING DISTRIBUTIONS
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| By: |
Olivier Thas |
| Format: |
Paperback |
| List price:
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£119.99 |
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| ISBN 10: |
1461424496 |
| ISBN 13: |
9781461424499 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
25 February, 2012 |
| Edition: |
2010 ed. |
| Series: |
Springer Series in Statistics |
| Pages: |
354 |
| Description: |
This volume provides a theoretical treatment of a wide range of goodness-of-fit statistical methods. By comparing techniques for both one-sample and k-sample problems, the text offers a wider perspective that considers graphic and estimation parameters, and emphasizes their theoretical similarities. |
| Synopsis: |
Provides a self-contained comprehensive treatment of both one-sample and K-sample goodness-of-fit methods by linking them to a common theory backboneContains many data examples, including R-code and a specific R-package for comparing distributionsEmphesises informative statistical analysis rather than plain statistical hypothesis testing |
| Illustrations: |
XVI, 354 p. |
| Publication: |
US |
| Imprint: |
Springer-Verlag New York Inc. |
| Returns: |
Returnable |