This book gives a concise overview of measures of relationship, including measures of nominal-nominal association, ordinal-ordinal association, interval-interval correlation, nominal-ordinal association, nominal-interval association, ordinal-interval association, and agreement. The book emphasizes permutation statistical methods under the Fisher--Pitman model. However, the permutation analyses are always paired with conventional statistical analyses under the classical Neyman--Pearson model. The pairing allows for comparisons and contrasts between permutation and conventional analyses. Example analyses highlight the differences between the various measures and the permutation and conventional probability values. This book is a companion volume to Permutation Statistical Methods: Tests of Differences by the same authors.
| ISBN: | 9783032266071 |
| Publication date: | 21st July 2026 |
| Author: | Janis E Johnston, Kenneth J Berry, Michael A Long |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Paperback |
| Pagination: | 123 pages |
| Series: | SpringerBriefs in Statistics |
| Genres: |
Probability and statistics Social research and statistics |
This book gives a concise overview of measures of relationship, including measures of nominal-nominal association, ordinal-ordinal association, interval-interval correlation, nominal-ordinal association, nominal-interval association, ordinal-interval association, and agreement. The book emphasizes permutation statistical methods under the Fisher--Pitman model.
Permutation Statistical Methods features in the following genres: Probability and statistics, Social research and statistics
Paperback. £40.49, down from the £44.99 cover price. Not Available.
Permutation Statistical Methods was written by Janis E Johnston, Kenneth J Berry, Michael A Long and published by Springer an imprint of Springer Nature Switzerland
Permutation Statistical Methods has 123 pages
Yes it is part of SpringerBriefs in Statistics series
£40.49, reduced from £44.99. Not Available.