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Uppuluri, V.R.R.; Patil, S.A.
Oak Ridge National Lab., TN (USA)1982
Oak Ridge National Lab., TN (USA)1982
AbstractAbstract
[en] Suppose we have a multinormal population with k possible outcomes E1, E2, ..., Ek and associated probabilities π1, π2, ..., πk. At each of the independent trials, one of the outcomes is observed. One may be interested in the waiting time for the occurrence of a specified event, which consists of a succession of outcomes. In this paper, we consider the probability distribution of the waiting times associated with specified events, and show how they generalize the Fibonacci, Tribonacci, ..., sequences in different ways. This is possible, since the probability generating functions of the associated waiting time random variables can be utilized to derive the probability distributions
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Jun 1982; 11 p; ORNL/CSD/TM--184; Available from NTIS., PC A02/MF A01 as DE82016643
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[en] The use of rapidity gaps is proposed as a measure of the spatial pattern of an event. When the event multiplicity is low, the gaps between neighboring particles carry far more information about an event than multiplicity spikes, which may occur very rarely. Two moments of the gap distribution are suggested for characterizing an event. The fluctuations of those moments from event to event are then quantified by an entropy-like measure, which serves to describe erraticity. We use ECOMB to simulate the exclusive rapidity distribution of each event, from which the erraticity measures are calculated. The dependences of those measures on the order q of the moments provide single-parameter characterizations of erraticity. (c) 2000 The American Physical Society
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Journal Article
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Numerical Data
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[en] Within the context of a discussion of regular versus chaotic motion in nuclei, several advances in statistical nuclear theory are summarized. They are based on the technique of path integrals serving as generating functions. They relate to statistical spectroscopy and to the statistical theory of nuclear reactions. 25 refs.; 5 figs
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Kuo, T.T.S. (State Univ. of New York, Stony Brook (USA). Dept. of Physics); Speth, J. (Kernforschungsanlage Juelich G.m.b.H. (Germany, F.R.). Inst. fuer Kernphysik) (eds.); v. 1-2 689 p; ISBN 0-444-87064-4;
; 1987; v. 1, p. 45-57; North-Holland; Amsterdam (Netherlands); International conference and symposium on unified concepts of many-body problems; Stony Brook, NY (USA); 4-6 Sep 1986

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Book
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[en] The current techniques used for statistical analysis of radioimmunoassays are not very satisfactory for either the statistician or the biologist. They are based on an attempt to make the response curve linear to avoid complicated computations. The present article shows that this practice has considerable effects (often neglected) on the statistical assumptions which must be formulated. A more strict analysis is proposed by applying the four-parameter logistic model. The advantages of this method are: the statistical assumptions formulated are based on observed data, and the model can be applied to almost all radioimmunoassays
[fr]
Les techniques couramment utilisees pour effectuer l'analyse statistique des donnees des dosages radioimmunologiques ne sont guere satisfaisantes, ni pour le statisticien, ni pour le biologiste. Elles reposent sur le principe suivant: transformer les donnees afin de lineariser le modele sous-jacent dans le but de se ramener a une regression lineaire. L'article montre que cette pratique a des effets notables (souvent negliges) sur les hypotheses statistiques qui peuvent etre formulees. Une analyse plus stricte est proposee par application d'un modele logistique a 4 parametres. Les avantages de cette methode sont: les hypotheses statistiques formulees sont basees sur des donnees observees et le modele peut etre applique a presque tous les dosages radioimmunologiquesOriginal Title
Dosages radioimmunologiques: quelle analyse statistique
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Journal Article
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Reprod. Nutr. Dev; ISSN 0181-1916;
; v. 24(3); p. 209-219

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Liu Chengshi, E-mail: chengshiliu-68@126.com2009
AbstractAbstract
[en] Under the frame of a statistical model, the concept of nonsymmetric entropy which generalizes the concepts of Boltzmann's entropy and Shannon's entropy, is defined. Maximum nonsymmetric entropy principle is proved. Some important distribution laws such as power law, can be derived from this principle naturally. Especially, nonsymmetric entropy is more convenient than other entropy such as Tsallis's entropy in deriving power laws.
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S0960-0779(07)00921-6; Available from http://dx.doi.org/10.1016/j.chaos.2007.10.039; Copyright (c) 2007 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA)
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Journal Article
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Chaos, Solitons and Fractals; ISSN 0960-0779;
; v. 40(5); p. 2469-2474

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[en] The onset of superfluidity in isospin-asymmetric nuclear matter is investigated within the BCS theory. A neutron-proton superfluid state in the channel 3S1-3D1 comes about from the interplay between thermal excitations and separation δμ of the two Fermi surfaces. The superfluid state disappears above the threshold value of the density-asymmetry parameter α=(nn-np)/n≅0.35. For large enough shift between the two Fermi surfaces δμ=(1)/(2)(μn-μp) the transition to the normal state becomes a first-order transition and a second gap solution develops. This solution, however, corresponds to a metastable superfluid state which is unstable with respect to the transition to the normal state. copyright 1997 The American Physical Society
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[en] We show that contrary to the commonly accepted view, Chapter IX of Gibbs's book [1] contains the prolegomena to a macroscopic statistical theory that is qualitatively different from his own microscopic statistical mechanics. The formulas obtained by Gibbs were the first results in the history of physics related to the theory of fluctuations in any macroparameters, including temperature. (from the history of physics)
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Available from http://dx.doi.org/10.1070/PU2006v049n05ABEH005906; Country of input: International Atomic Energy Agency (IAEA)
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Journal Article
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Physics Uspekhi; ISSN 1063-7869;
; v. 49(5); p. 531-535

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Ushakov, N. G.; Ushakov, V. G., E-mail: ushakov@math.ntnu.no, E-mail: vgushakov@mail.ru2018
AbstractAbstract
[en] Since data for statistical analysis are always given in a discretized form, observations contain not only measurement errors but also rounding errors which are determined by the discretization step. In this paper we consider situations where the rounding errors are considerable: they are comparable to or even greater (in average) than the measurement errors. It is shown that it can be reasonable to increase the measurement errors in order to reduce the error of the final result.
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33. international seminar on stability problems for stochastic models; Svetlogorsk (Russian Federation); 12-18 Jun 2016; Copyright (c) 2018 Springer Science+Business Media, LLC, part of Springer Nature; http://www.springer-ny.com; Country of input: International Atomic Energy Agency (IAEA)
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Ivanov, I. V., E-mail: nadsuprun@gmail.com2018
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[en] To make calculations in the Bayesian analysis, the formalism of which is based on the layering of a probability measure defined on the product of measurable spaces, it is useful to have a summary of the properties of this layering. In this paper we formulate and prove those of them that are used in calculations more often than others. Particularly, we prove Hoeffding-type inequalities using direct elementary techniques.
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International seminar on stability problems for stochastic models; Zakopane (Poland); 31 May - 5 Jun 2009; Copyright (c) 2018 Springer Science+Business Media, LLC, part of Springer Nature; http://www.springer-ny.com; Country of input: International Atomic Energy Agency (IAEA)
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[en] See pdf for details. (small systems: nonequilibrium phenomena and anomalous behavior)
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Available from http://dx.doi.org/10.1088/0253-6102/62/4/01; Country of input: International Atomic Energy Agency (IAEA)
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Journal Article
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Communications in Theoretical Physics; ISSN 0253-6102;
; v. 62(4); p. i-ii

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