2012
DOI: 10.20334/2094-m
|View full text |Cite
|
Sign up to set email alerts
|

Nonparametric criteria for sparse contingency tables

Abstract: In the dissertation, the problem of nonparametric testing for sparse contingency tables is addressed. Statistical inference problems caused by sparsity of contingency tables are widely discussed in the literature. Traditionally, the expected (under null the hypothesis) frequency is required to exceed 5 in almost all cells of the contingency table. If this condition is violated, the χ 2 approximations of goodnessof-fit statistics may be inaccurate and the table is said to be sparse. Several techniques have been… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 31 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?