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

Publication information
Department/Agency Canada. Environment Canada.
Canada Centre for Inland Waters.
National Water Research Institute (Canada)
Title Statistical inference from multiply censored data / by A.H. El-Shaarawi and A. Naderisamani.
Series title NWRI contribution ; 89-175
Publication type Series - View Master Record
Language [English]
Format Electronic
Electronic document
Note(s) "RRB 89-77."
Title from cover.
Digitized edition from print [produced by Environment and Climate Change Canada].
Includes bibliographical references.
Includes abstract and management perspective in English and French.
Publishing information Burlington, Ontario : National Water Research Institute, Canada Centre for Inland Waters, November 1989.
Author / Contributor El-Shaarawi, A. H., author.
Naderisamani, Amir,‏‎ 1951-‏ author.
Description 1 online resource (15 pages, 4 unnumbered pages) : graphs.
Catalogue number
  • En13-5/89-175E-PDF
Subject terms Water quality
Statistical analysis
Measurement
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