Multinomial distribution as the most likely distribution of the stoichiometric composition of stochastically formednmers
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Multinomial distribution is presented as the most likely distribution of the stoichiometric composition of stochastically formednmers. The termnmer is used in a wide sense, meaning not only the usual species in polymer chemistry, but molecules or a well defined set of neighbouring atoms in a crystal lattice as well. As a practical example the authors present the statistical interpretation of the Mössbauer spectra of ferromagnetic FeCrNi alloys. The problem discussed may also serve as a model calculation for courses on statistical thermodynamics.
- C. E. JOHNSON, M. S. RIDOUT, and T. E. CRANSHAW, Proc. Phys. Soc. 81 (1963) 1079.
- G. K. WERTHEIM, V. JACCARINO, J. H. WERNICK, D. N. E. BUCHANAN, Phys. Rev. Lett. 12 (1964) 24.
- I. VINCZE, I. A. CAMPBELL, J. Phys. F 3 (1973) 647.
- M. B. STEARNS, Phys. Rev., 147 (1966) 439.
- S. NAGY, K. ROMHÁNYI, A. VÉRTES, E. KUZMANN, Z. HEGEDÜS, Acta Metall., 31 (1983) 529.
- S. NAGY, E. KUZMANN, A. VÉRTES, G. SZABÓ, G. KONCZOS, Nucl. Instr. Methods Phys. Res., B34 (1988) 217.
- E. KUZMANN, R. OSHIMA, F. E. FUJITA, Proc. Int. Conf. Applications of the Mössbauer Effect, Jaipur, 1981, p. 553.
- Multinomial distribution as the most likely distribution of the stoichiometric composition of stochastically formednmers
Journal of Radioanalytical and Nuclear Chemistry
Volume 141, Issue 2 , pp 373-391
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