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University for Business and Technology in Kosovo

Cross-model validation

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Definition, Validation And Comparison Of Two Population Models For Austria, Martin Bicher, Barbara Glock, Florian Miksch, Niki Popper, Günter Schneckenreither Nov 2018

Definition, Validation And Comparison Of Two Population Models For Austria, Martin Bicher, Barbara Glock, Florian Miksch, Niki Popper, Günter Schneckenreither

International Journal of Business and Technology

In this work we present two structurally different mathematical models for the prognostic simulation of Austria’s population: A time-continuous, macroscopic system dynamics approach and a time-discrete, microscopic agent-based approach. Both models were developed as case studies of a series of population concepts in order to support models for decision-support in Austria’s health care system. In the present work we want to focus on the definition, the parametrisation as well as especially the validation process of both population-models. The latter was of special interest as it included a cross-model validation with Statistics Austria’s own prognostic model SIKURS.


Definition, Validation And Comparison Of Two Population Models For Austria, Martin Bicher, Barbara Glock, Florian Miksch, Niki Popper, Günter Schneckenreither Nov 2015

Definition, Validation And Comparison Of Two Population Models For Austria, Martin Bicher, Barbara Glock, Florian Miksch, Niki Popper, Günter Schneckenreither

UBT International Conference

In this work we present two structurally different mathematical models for the prognostic simulation of Austria’s population: A time-continuous, macroscopic system dynamics approach and a time-discrete, microscopic agent-based approach. Both models were developed as case studies of a series of population concepts in order to support models for decision-support in Austria’s health care system. In the present work we want to focus on the definition, the parametrisation as well as especially the validation process of both population-models. The latter was of special interest as it included a cross-model validation with Statistics Austria’s own prognostic model SIKURS.