Statistical inference from multiply censored data / by A.H. El-Shaarawi and A. Naderisamani.: En13-5/89-175E-PDF
"Maximum likelihood equations for a multiply censored normal sample are modified so that explicit estimates for the mean and standard deviation can be obtained. The estimate of the mean of a multiply censored sample is then obtained by normalizing the data using the Box and Cox transformation. An approximate confidence interval for the mean is also obtained and the probability of coverage for the lognormal mean is discussed in detail. Simulation results and applications are provided"--Abstract.
Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.873942&sl=0
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| Title | Statistical inference from multiply censored data / by A.H. El-Shaarawi and A. Naderisamani. |
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| Publication type | Monograph - View Master Record |
| Language | [English] |
| Format | Digital text |
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| Description | 1 online resource (15 pages, 4 unnumbered pages) : graphs. |
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