BOOTSTRAP CONFIDENCE INTERVAL FOR PARAMETER ‘P’ OF TRUNCATED NEGATIVE BINOMIAL DISTRIBUTION
Download| Volume 3 Issue 2 2007 | |
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| Author(s): |
Muhammad Ibrahim Shamsi
Ghulam Hussain
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| Abstract | Abstract- In formula based inferential statistics, many problems deal with the estimation of unknown parameters. This paper considers interval estimation. Two bootstrap confidence intervals for the parameter ‘p’ of an unknown population are discussed. They are obtained by the residual bootstrap and the two-stage wild bootstrap method. The results are illustrated with an example in which the investigated variable has the Truncated Negative Binomial distribution. We do not have to know the population distribution for determining the bootstrap confidence intervals for the parameters. This is the great advantage of bootstrap methods. The authors have developed a computer program that computes confidence limits using the procedure in this paper. |
| Keywords | Residual Bootstrap, Wild Bootstrap, Confidence Interval, Truncated Negative Binomial Distribution. |
| Year | 2007 |
| Volume | 3 |
| Issue | 2 |
| Type | Research paper, manuscript, article |
| Recognized by | Higher Education Commission of Pakistan, HEC | Category | "Y" | Journal Name | IBT Journal of Business Studies | Publisher Name | ILMA University | Jel Classification | - | DOI | https://doi.org/10.46745/ILMA.jbs.2007.32.03 | ISSN no (E, Electronic) | 2409-6520 | ISSN no (P, Print) | 2416-8393 | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | http://ibtjbs.ilmauniversity.edu.pk/journal/jbs/3.2/3.%20Bootstrap%20Confidence%20Interval%20for%20Parameter%20p%20of%20Truncated%20Negative%20Binomial%20Distribution.pdf |