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Introduction to Modern Nonparametric Statistic - 04 edition

Introduction to Modern Nonparametric Statistic (ISBN10: 0534387756; ISBN13: 9780534387754)
ISBN13: 978-0534387754
ISBN10: 0534387756

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.

Benefits:
  • The author provides a narrative presentation of very technical material, which helps non-statisticians understand difficult concepts.
  • Many examples and exercises use real data.
  • Selected computer output and code show how methods are implemented. Three statistical packages are featured: StatXact, Resampling Stats, and S-Plus.
  • This book presents a comprehensive and accessible compilation of modern nonparametric techniques not often found in a single book, but rather in individual books on traditional nonparametric rank tests, permutations tests, bootstrapping procedures, nonparametric survival analysis, etc.
  • Current references to the latest literature on each topic are included.
...show more
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.

Benefits:
  • The author provides a narrative presentation of very technical material, which helps non-statisticians understand difficult concepts.
  • Many examples and exercises use real data.
  • Selected computer output and code show how methods are implemented. Three statistical packages are featured: StatXact, Resampling Stats, and S-Plus.
  • This book presents a comprehensive and accessible compilation of modern nonparametric techniques not often found in a single book, but rather in individual books on traditional nonparametric rank tests, permutations tests, bootstrapping procedures, nonparametric survival analysis, etc.
  • Current references to the latest literature on each topic are included.
...show less

Edition/Copyright: 04
Cover: Hardback
Publisher: Brooks/Cole Publishing Co.
Year Published: 2004
International: No

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