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Dynamic Updating of Labour Force Estimates: JARES
Author(s) -
Bellacicco Antonio,
Russo Aldo
Publication year - 1991
Publication title -
labour
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 34
eISSN - 1467-9914
pISSN - 1121-7081
DOI - 10.1111/j.1467-9914.1991.tb00033.x
Subject(s) - estimator , constraint (computer aided design) , set (abstract data type) , principle of maximum entropy , probability distribution , algebraic equation , mathematics , entropy (arrow of time) , algebraic number , mathematical optimization , scheme (mathematics) , computer science , statistics , nonlinear system , mathematical analysis , physics , geometry , quantum mechanics , programming language
. In this paper a new algorithm is proposed in order to produce an automatic dynamic compound estimator of the labour force based on an interactive scheme. The proposed algorithm, JARES, is based on the probability estimator of Jaynes based on the notion of maximum entropy of a given probability distribution with a constraint on the average of an external information. The iterative scheme is based on the solution of a set of linear equations which represent the algebraic relationships between the weights and the estimates.