"Consumption Model Calibration and Related Statistical Problems"@en . "4"^^ . "Kon\u00E1r, Ond\u0159ej" . "Pelik\u00E1n, Emil" . . "Consumption Model Calibration and Related Statistical Problems" . . . . "000268848300020" . . . . "RIV/67985807:_____/09:00327471" . . "6"^^ . . . "Consumption Model Calibration and Related Statistical Problems"@en . . . "WSEAS Press" . "Consumption Model Calibration and Related Statistical Problems" . . . "Athens" . "RIV/67985807:_____/09:00327471!RIV10-AV0-67985807" . "2009-07-01+02:00"^^ . . . "Brabec, Marek" . . "Applied Economics, Business and Development" . . "linear calibration; natural gas consumption modeling; Bayesian approach; statistical model; time-varying calibration; state-space model"@en . . "Tenerife" . . "In this paper, we will discuss a problem pertinent to many situations in which a statistical model is developed on a sample of individuals (describing their trajectories), but then it is applied on a much larger population of interest. Typical examples occur in natural gas and other energy consumption contexts. Due to various deficiencies of the original sample-only based model, due to possible inconsistencies between sample and the population as a whole, and/or due to inherently different nature of the available sample and populational data (their measurement, error properties, etc.), calibration arises as a natural way to improve original model. We will introduce a formal and flexible, time-varying statistical model of state-space nature, from which such a calibration will come out as one of the products."@en . . . "Mal\u00FD, Marek" . "978-960-474-091-8" . "308150" . "4"^^ . "P(1ET400300513), Z(AV0Z10300504)" . "In this paper, we will discuss a problem pertinent to many situations in which a statistical model is developed on a sample of individuals (describing their trajectories), but then it is applied on a much larger population of interest. Typical examples occur in natural gas and other energy consumption contexts. Due to various deficiencies of the original sample-only based model, due to possible inconsistencies between sample and the population as a whole, and/or due to inherently different nature of the available sample and populational data (their measurement, error properties, etc.), calibration arises as a natural way to improve original model. We will introduce a formal and flexible, time-varying statistical model of state-space nature, from which such a calibration will come out as one of the products." . . "[A26BF90ACC19]" . .