- Title
- Improved testing for the binomial distribution using chi-squared components with data-dependent cells
- Creator
- Best, D. J.; Rayner, J. C. W.
- Relation
- Journal of Statistical Computation and Simulation Vol. 76, Issue 1, p. 75-81
- Publisher Link
- http://dx.doi.org/10.1080/00949650412331320891
- Publisher
- Taylor & Francis Ltd.
- Resource Type
- journal article
- Date
- 2006
- Description
- A power study suggests that a good test of fit analysis for the binomial distribution is provided by a data-dependent Chernoff-Lehmann X² test with class expectations greater than unity, and its components. These data-dependent statistics involve arithmetically simple parameter estimation, convenient approximate distributions and provide a comprehensive assessment of how well the data agree with a binomial distribution. We suggest that a well-performed single test of fit statistic is the Anderson-Darling statistic.
- Subject
- goodness-of-fit; dispersion test; non-central chi-squared distribution; partition X²
- Identifier
- http://hdl.handle.net/1959.13/34548
- Identifier
- uon:3583
- Identifier
- ISSN:0094-9655
- Rights
- This is an Accepted Manuscript of an article published in Journal of Statistical Computation and Simulation on 19/08/2006, available online: http://www.tandfonline.com/10.1080/00949650412331320891
- Language
- eng
- Full Text
- Reviewed
- Hits: 3586
- Visitors: 1015
- Downloads: 255
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT02 | Author final version | 159 KB | Adobe Acrobat PDF | View Details Download |