Nonparametric Tests for Complete DataISBN: 978-1-84821-269-5
Hardcover
320 pages
January 2011, Wiley-ISTE
|
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.