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A Graphical Method of Removing Outlier Values from Analytical Data.

Authors
Remmenga-EE; Burdick-RG
Source
NTIS: PB 197 023 :10 pages
Link
NIOSHTIC No.
10009219
Abstract
Often a collection of analytical data, which should reasonably be expected to follow the normal distribution, contains too many extreme values, which the experimenter is inclined to eliminate according to some arbitrary procedure. The stepwise computer procedure described for this purpose is similar to many other truncation procedures; however, because truncation of a basically normal distribution causes a downward bias in the estimated variance, this procedure provides a graphical method to compensate for the bias.
Publication Date
19710101
Document Type
IH; Report of Investigations
Fiscal Year
1971
NTIS Accession No.
PB-197023
NTIS Price
A02
Identifying No.
RI 7472
NIOSH Division
DRC;
Source Name
NTIS: PB 197 023
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