THE SAMPLING ESTIMATE OF THE PARAMETER VARIANCE/MEAN IN REACTOR FLUCTUATION MEASUREMENTS

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Reactor properties can be investigated by observing fluctuations in the numober of counts occurring in a fixed time-interval in a neutron counter. The statistical parameter variance/mean of the count population may be estimated from the observed statistic N(N-l!/sup -1/ x variance/mean calculated for a sample of counts obtained in N time-intervals. It is shown that this method of estimation is biased, and a bound is derived for the magnitude of the bias. The bias can be severe when N is small and the mean number of counts per time interval is also small. The expected distribution of the sample statistic ... continued below

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Pages: 22

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Harris, D.R. August 1, 1958.

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Description

Reactor properties can be investigated by observing fluctuations in the numober of counts occurring in a fixed time-interval in a neutron counter. The statistical parameter variance/mean of the count population may be estimated from the observed statistic N(N-l!/sup -1/ x variance/mean calculated for a sample of counts obtained in N time-intervals. It is shown that this method of estimation is biased, and a bound is derived for the magnitude of the bias. The bias can be severe when N is small and the mean number of counts per time interval is also small. The expected distribution of the sample statistic N(N-1!/sup -1/ x variance/mean is described. The results of the study are illustrated by analysis of actual reactor fluctuation data. (auth)

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Pages: 22

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  • Other Information: Orig. Receipt Date: 31-DEC-59

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  • Report No.: WAPD-TM-157
  • Grant Number: AT-11-1-GEN-14
  • DOI: 10.2172/4293437 | External Link
  • Office of Scientific & Technical Information Report Number: 4293437
  • Archival Resource Key: ark:/67531/metadc1024539

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  • August 1, 1958

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  • Oct. 15, 2017, 10:09 p.m.

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Harris, D.R. THE SAMPLING ESTIMATE OF THE PARAMETER VARIANCE/MEAN IN REACTOR FLUCTUATION MEASUREMENTS, report, August 1, 1958; United States. (digital.library.unt.edu/ark:/67531/metadc1024539/: accessed December 13, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.