Применение техники байесовского усреднения для модели с фиксированными эффектами и линейным трендом при анализе ключевого сличения CCM.P-K12
Abstract
The recently proposed procedure data estimation is generalized for the case of linear drift of transported standard shows a linear drift. The procedure is based on Bayesian averaging of models with fixed effects inassumption that a certain number of laboratories measure without shift. The method has been applied for the key comparison CCM.P-K12 data estimation.
About the Authors
О. Боднар
Государственный физико-технический институт
Russian Federation
Russian Federation
А. Линк
Государственный физико-технический институт
Russian Federation
Russian Federation
К. Клауэнбэрг
Государственный физико-технический институт
Russian Federation
Russian Federation
К. Жустэн
Государственный физико-технический институт
Russian Federation
Russian Federation
К. Эльстэр
Государственный физико-технический институт
Russian Federation
Russian Federation
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