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Titolo:
REDUCING BIAS IN THE ANALYSIS OF COUNTING STATISTICS DATA
Autore:
HAMMERSLEY AP; ANTONIADIS A;
Indirizzi:
EUROPEAN SYNCHROTRON RADIAT FACIL,BP 220 F-38043 GRENOBLE FRANCE UNIV GRENOBLE,IMAG GRENOBLE FRANCE
Titolo Testata:
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment
fascicolo: 1-2, volume: 394, anno: 1997,
pagine: 219 - 224
SICI:
0168-9002(1997)394:1-2<219:RBITAO>2.0.ZU;2-H
Fonte:
ISI
Lingua:
ENG
Keywords:
DATA ANALYSIS; COUNTING STATISTICS; POISSON STATISTICS; LEAST SQUARES FITTING; MAXIMUM LIKELIHOOD METHODS; MODEL FITTING;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
4
Recensione:
Indirizzi per estratti:
Citazione:
A.P. Hammersley e A. Antoniadis, "REDUCING BIAS IN THE ANALYSIS OF COUNTING STATISTICS DATA", Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 394(1-2), 1997, pp. 219-224

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 furtheranalysis 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.

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Documento generato il 14/07/20 alle ore 17:56:57