An introduction to modern nonparametric statistics
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. Fo...
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Pacific Grove, CA
Brooks/Cole
2004
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| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
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Add Tag | Summary: | 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. |
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| Physical Description: | xviii, 366 pages illustrations 25 cm |
| Bibliography: | Includes bibliographical references (page 351-355) and index |
| ISBN: | 0534387756 |
Nonparametric statistics an introduction