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Item Details
| Title:
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INTRODUCTION TO MODERN NON-PARAMETRIC STATISTICS
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| By: |
James Higgins |
| Format: |
Hardback |
| List price:
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£80.99 |
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We believe that this item is permanently unavailable, and so we cannot source
it.
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| ISBN 10: |
0534387756 |
| ISBN 13: |
9780534387754 |
| Publisher: |
CENGAGE LEARNING, INC |
| Pub. date: |
4 June, 2003 |
| Pages: |
500 |
| Description: |
This volume presents a wide array of nonparametric methods of data analysis that researchers should find useful. It discusses a variety of nonparametric methods and, wherever possible, stresses the connection between methods. |
| Synopsis: |
Guided by problems that frequently arise in actual practice, James Higgins' book presents a wide array of nonparametric methods of data analysis that researchers will find useful. It discusses a variety of nonparametric methods and, wherever possible, stresses the connection between methods. For instance, rank tests are introduced as special cases of permutation tests applied to ranks. The author provides coverage of topics not often found in nonparametric textbooks, including procedures for multivariate data, multiple regression, multi-factor analysis of variance, survival data, and curve smoothing. This truly modern approach teaches non-majors how to analyze and interpret data with nonparametric procedures using today's computing technology. |
| Illustrations: |
Illustrations |
| Publication: |
US |
| Imprint: |
Brooks/Cole |
| Returns: |
Returnable |
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