Cited by 425Statistical Distribution Estimation and ApplicationsProbability and Statistical ResearchStatistical Methods and Inference

Simplified estimators for the normal distribution when samples are singly censored or truncated

Cohen, A. Clifford·1959·Technometrics

Abstract

Easily computed estimates of the mean and variance of a Normal distribution obtained from samples which are truncated or censored are described. The estimates require only a single auxiliary function which is conveniently tabulated. Worked examples are given for sample data subject to left and right truncation. Additional examples are given for left and right censoring for the two cases in which either the point of censoring is fixed or the number of censored items is known.

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Crossref · 10.1080/00401706.1959.10489859

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Authors
Cohen, A. C.
Affiliations
University of Georgia (US)
Corresponding author
Cohen, A. Clifford
Venue
Technometrics
Published
1959-08
Volume
1
Issue
3
Pages
217-237
ISSN
  • 0040-1706 (ISSN-L)
  • 1537-2723
OpenAlex
W2008441678
Cited by
425
References
13
Citations by year
2026: 4 · 2025: 3 · 2024: 2 · 2023: 9 · 2022: 8 · 2021: 6 · 2020: 6 · 2019: 9 · 2018: 7 · 2017: 6 · 2016: 6 · 2015: 8 · 2014: 10 · 2013: 4 · 2012: 8
FWCI
5.72
Type
journal article
Language
en
Open access
closed
Locations
Technometrics (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
  • Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
Keywords
normal distribution, censored samples, truncated samples, mean estimation, variance estimation, left truncation, right truncation, left censoring, right censoring, auxiliary functions

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