Garthwaite, Paul
(2005). Confidence intervals: nonparametric.
In: Everitt, B.S. and Howell, D.C. eds.
Encyclopedia of Statistics in Behavioral Science.
Chichester: Wiley, pp. 3475–381.
Abstract
These procedures for forming confidence intervals are attractive because they require weaker assumptions than parametric methods. Several of the procedures exploit the relationship between hypothesis tests and confidence intervals and these require hypotheses to be found that give specified P values. Finding the appropriate hypotheses can be computationally demanding, but for some problems there are efficient search techniques.
| Item Type: |
Book Chapter
|
| Copyright Holders: |
2005 John Wiley & Sons, Inc. |
| ISBN: |
0-470-86080-4, 978-0-470-86080-9 |
| Keywords: |
bootstrap; Mann–Whitney test; nonparametric confidence intervals; permutation tests; randomization tests; resampling; Robbins–Monro process; Mann–Whitney test |
| Academic Unit/Department: |
Mathematics, Computing and Technology > Mathematics and Statistics |
| Item ID: |
22567 |
| Depositing User: |
Sarah Frain
|
| Date Deposited: |
07 Sep 2010 09:58 |
| Last Modified: |
02 Dec 2010 21:01 |
| URI: |
http://oro.open.ac.uk/id/eprint/22567 |
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