Nonparametric texts typically concentrate on location and linear-linear (correlation) tests, with a lesser focus on dispersion effects and linear-quadratic tests. Using a fresh approach, this unique treatment unifies and extends the popular, standard tests by linking them to tests based on models for data that can be presented in contingency tables. This approach unifies popular nonparametric statistical inference and makes traditional nonparametric analyses much more complete and informative. The author's unified treatment ...
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Nonparametric texts typically concentrate on location and linear-linear (correlation) tests, with a lesser focus on dispersion effects and linear-quadratic tests. Using a fresh approach, this unique treatment unifies and extends the popular, standard tests by linking them to tests based on models for data that can be presented in contingency tables. This approach unifies popular nonparametric statistical inference and makes traditional nonparametric analyses much more complete and informative. The author's unified treatment and readable style make the subject easy to follow and the techniques easily implemented by both fledgling and seasoned researchers.
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