Title of article :
Reducing bias in the analysis of counting statistics data
Author/Authors :
Hammersley، نويسنده , , A.P. and Antoniadis، نويسنده , , A.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 1997
Pages :
6
From page :
219
To page :
224
Abstract :
In the analysis of counting statistics data it is common practice to estimate the variance of the measured data points as the data points themselves. This practice introduces a bias into the results of further analysis which may be significant, and under certain circumstances lead to false conclusions. In the case of normal weighted least squares fitting this bias is quantified and methods to avoid it are proposed.
Keywords :
model fitting , Least squares fitting , Data analysis , Counting statistics , maximum likelihood methods , Poisson statistics
Journal title :
Nuclear Instruments and Methods in Physics Research Section A
Serial Year :
1997
Journal title :
Nuclear Instruments and Methods in Physics Research Section A
Record number :
2176103
Link To Document :
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