Predictive Modeling of Obesity Prevalence for the U.S. Population

DOI10.1080/10920277.2018.1506348zbMath1411.91275OpenAlexW2909037465WikidataQ128553281 ScholiaQ128553281MaRDI QIDQ5742899

Palma Daawin, Seon Jin Kim, Tatjana Miljkovic

Publication date: 8 May 2019

Published in: North American Actuarial Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10920277.2018.1506348

zbMATH Keywords

mortality riskmultivariate ARIMA modelsobesity prevalence modeling

Mathematics Subject Classification ID

Applications of statistics to actuarial sciences and financial mathematics (62P05)

Related Items (1)

Identifying subgroups of age and cohort effects in obesity prevalence

Uses Software

• R
• TSA

Cites Work

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• Redefining standards for body mass index of the US population based on BRFSS data using mixtures
• Obesity, Mortality, and the Obesity Paradox
• Factors Affecting Retirement Mortality
• Forecasting Changes in Mortality

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