1968
DOI: 10.1016/0029-554x(68)90108-0
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Use of the maximum likelihood technique, for fitting counting distributions

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Cited by 20 publications
(6 citation statements)
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“…The spectra were fitted by the sum of two exponentials and a constant random coincidence background by the maximum likelihood technique. 6 The results presented here satisfied the following conditions: (a) Convergence was obtained varying all five parameters (see Sec. II) simultaneously in the maximum likelihood program.…”
Section: Resultsmentioning
confidence: 55%
“…The spectra were fitted by the sum of two exponentials and a constant random coincidence background by the maximum likelihood technique. 6 The results presented here satisfied the following conditions: (a) Convergence was obtained varying all five parameters (see Sec. II) simultaneously in the maximum likelihood program.…”
Section: Resultsmentioning
confidence: 55%
“…Fortunately, the data may be successfully characterized by the sum of two exponentials with markedly different decay rates. The fitting was done with a five-parameter maximum-likelihood routine [20]. The five parameters were the decay rates and intensities of each of the two exponential components plus a background.…”
Section: -ṽ 2-mentioning
confidence: 99%
“…In principle, determining the relative abundances of these fluorophore species via bleaching can be achieved by fitting the amplitudes of a multi-exponential decay at each pixel. This basic problem occurs in many arenas from magnetic resonance imaging 20 to fluorescence lifetime imaging 21,22 and nuclear physics 23 . There are a wide range of computational approaches to this challenge, such as maximum likelihood estimation 23 , the method of least-squares 24 , method of moments 25 and the Gardner Transform 26 .…”
Section: Resultsmentioning
confidence: 99%
“…This basic problem occurs in many arenas from magnetic resonance imaging 20 to fluorescence lifetime imaging 21,22 and nuclear physics 23 . There are a wide range of computational approaches to this challenge, such as maximum likelihood estimation 23 , the method of least-squares 24 , method of moments 25 and the Gardner Transform 26 . However, our problem is more general as it includes both spectral and bleaching information, so we extract the spectral and photobleaching characteristics from the dataset itself.…”
Section: Resultsmentioning
confidence: 99%