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Multilingual Demographic Dictionary, second unified edition, English volume

Difference between revisions of "Deterministic model"

Multilingual Demographic Dictionary, second unified edition, English vol.
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(Etienne van de Walle et al., second 1982 edition)
(Etienne van de Walle et al., second 1982 edition)
 
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[[en-II:deterministic model]] [[ar-II:نموذج حتمي]] [[cs-II:deterministický model]] [[de-II:deterministisches Modell]] [[es-II:modelos deterministas]] [[fr-II:modèle déterministe]] [[it-II:modelli deterministici]] [[ja-II:決定論モデル]] [[pt-II:modelos determinísticos]] [[ru-II:Детерминистические модели]] [[zh-II:确定性模型]]  
 
[[en-II:deterministic model]] [[ar-II:نموذج حتمي]] [[cs-II:deterministický model]] [[de-II:deterministisches Modell]] [[es-II:modelos deterministas]] [[fr-II:modèle déterministe]] [[it-II:modelli deterministici]] [[ja-II:決定論モデル]] [[pt-II:modelos determinísticos]] [[ru-II:Детерминистические модели]] [[zh-II:确定性模型]]  
 
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[[Category:Term of the second edition of the multilingual demographic Dictionary]]
 
[[Category:Term of the second edition of the multilingual demographic Dictionary]]

Latest revision as of 08:16, 5 February 2010

Deterministic model  (DETERMINISTIC model)


A demographic model 1 consists of a theoretical construct representing the evolution of a population (of individuals, couples, families, households, etc.) and its structure on the basis of its initial state and the effect of various demographic variables (such as fertility, fecundability, mortality, etc.). In a static model 2, these variables remain constant; in a dynamic model 3, they are allowed to change over time. A further distinction is made between deterministic models 4 which assign functional relations between definite values of the variables, as if the studied population were infinitely large, and stochastic models 5 or probabilistic models 5 which consider the probability of various events occurring to individuals over the duration of the process under study. The model may be set out in mathematical formulas or take the form of a simulation 6 where specific values of the variables are included in a system of relations. Macrosimulations 7 may for example involve population projections made by the component method (720-5). In microsimulations 8, events are made to occur randomly to individuals or groups over time according to sets of probabilities assigned to the variables in the model.

  • 1. The word is also used as an adjective in such expressions as model tables.

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