Non-parametric Tests for Complete Data
Language
en
Ouvrage
This item was published in
2011p. 308 pages
ISTE-WILEY
English Abstract
The book addressed the testing of hypotheses in non-parametric models in the general case for complete data samples. Classical non-parametric tests (goodness-of-fit , homogenneity, randomness, independence) of complete ...Read more >
The book addressed the testing of hypotheses in non-parametric models in the general case for complete data samples. Classical non-parametric tests (goodness-of-fit , homogenneity, randomness, independence) of complete data are considered and explained. Tests features include the chi-squared and modified chi-squared tests, rank and homogeneity tests, and most of the test results are proved, with real applicatiuons illustrated using examples. The incorrect use of many tests, and their applications using commonly deployed statistical software is highlighted and discuss.Read less <
English Keywords
Complete data
chi-squared test
goodness-of-fit test
empirical processes
rank test
non-parametric test
maximum likelihood estimator
Origin
Hal imported