Introduction to Modern Nonparametric Statistics

by James Higgins

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Book cover for Introduction to Modern Nonparametric Statistics

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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.
  • ISBN13 9780534387754
  • Publish Date 5 May 2003
  • Publish Status Out of Print
  • Out of Print 3 May 2017
  • Publish Country US
  • Publisher Cengage Learning, Inc
  • Imprint Brooks/Cole
  • Edition New edition
  • Format Hardcover
  • Pages 500
  • Language English