£146.95
This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered.
Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided.
The incorrect use of many tests applying most statistical software is highlighted and discussed.
Nonparametric Tests for Censored Data
Statistical Tests Of Nonparametric Hypotheses: Asymptotic Theory
Theory of Nonparametric Tests
Nonparametric Statistical Methods For Complete and Censored Data
Nonparametric Statistics: Theory And Methods
Parametric Approach to Nonparametric Statistics
Chi-squared Goodness-of-fit Tests for Censored Data
Introduction to Nonparametric Statistics
Nonparametric Hypothesis Testing
Statistical Theory
Applied Statistical Methods
Nonparametric Statistical Methods Using R