2015
DOI: 10.1016/j.physa.2015.02.033
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Generalization of the Aoki–Yoshikawa sectoral productivity model based on extreme physical information principle

Abstract: This paper presents a continuous variable generalization of the Aoki-Yoshikawa sectoral productivity model. Information theoretical methods from the Frieden-Soffer extreme physical information statistical estimation methodology were used to construct exact solutions. Both approaches coincide in first order approximation. The approach proposed here can be successfully applied in other fields of research.✩ Highlights: Assumptions of original Aoki-Yoshikawa sectoral productivity model (AYM) are given. Information… Show more

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Cited by 1 publication
(3 citation statements)
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“…V B 1 and V B 2 leads to the constancy of the Rao-Fisher metric on the statistical (sub)space S. The probability distribution of the EPR-Bohm problem (that we are looking for) is the discrete one (4). It is determined on the joint space Ω ab of the possible results S a S b ≡ S ab ∈ Ω ab = {++, −−, +−, −+}, (3), and normalized to unity in accordance with (5). Let us express the double index ab in a compact form, i.e., ab = ++, −−, +−, − + corresponds to j − 1 ≡ a b = 0, 1, 2, 3,…”
Section: Analysis Of the Rao-fisher Metricmentioning
confidence: 99%
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“…V B 1 and V B 2 leads to the constancy of the Rao-Fisher metric on the statistical (sub)space S. The probability distribution of the EPR-Bohm problem (that we are looking for) is the discrete one (4). It is determined on the joint space Ω ab of the possible results S a S b ≡ S ab ∈ Ω ab = {++, −−, +−, −+}, (3), and normalized to unity in accordance with (5). Let us express the double index ab in a compact form, i.e., ab = ++, −−, +−, − + corresponds to j − 1 ≡ a b = 0, 1, 2, 3,…”
Section: Analysis Of the Rao-fisher Metricmentioning
confidence: 99%
“…V B 3. However, we still have to determine the constants B and C. From the condition of the probability P (S a S b |ϑ) normalization to unity, (5), and using Eq. (36), we obtain the equation:…”
Section: The Normalization Condition To Unitymentioning
confidence: 99%
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