Journal article
Bayesian interpretation of counting data
Abstract
The application of Bayesian inferential methodology is applied to the analysis of counting data. A formulation leading to data-specific probability density functions is developed. A tabulation of frequently used confidence levels is given for the most common experimental situation. Approximate methods based upon the normal distribution are discussed.
Authors
Prestwich WV; Lowe DM; Kennett TJ
Journal
Journal of Radioanalytical and Nuclear Chemistry, Vol. 77, No. 1, pp. 167–200
Publisher
Springer Nature
Publication Date
March 1983
DOI
10.1007/bf02525365
ISSN
0236-5731