John Bryant, Junni L. Zhang

Bayesian Demographic Estimation and Forecasting (eBook, PDF)

• Format: PDF

Produktbeschreibung

Demographic estimation and forecasting is an important practical problem. Population projections are used to guide billions of dollars of expenditure on things such as roads, housing, shopping complexes, and hospitals. Policy evaluations require detailed estimates of populations at risk, or of demographic outcomes such as mortality.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 292
• Erscheinungstermin: 27. Juni 2018
• Englisch
• ISBN-13: 9780429841347
• Artikelnr.: 54274586

Autorenporträt

John Bryant is a senior researcher at Statistics New Zealand. He has previously worked at the New Zealand Treasury, and at universities in New Zealand and Thailand. He has consulted for many international organizations, including UNICEF, the FAO, and the World Bank. His research interests include applied demography, data science, and Bayesian statistics.

Junni L. Zhang is an associate professor of statistics at Guanghua School of Management, Peking University. Her research interests include Bayesian statistics, text mining, and causal inference. She has extensive experience teaching undergraduate, graduate, MBA and executive courses, and is the author of Data Mining and Its Applications (in Chinese).

Inhaltsangabe

Preface1 Introduction I Demographic Foundations 2 Demographic Foundations 3
Demographic Individuals 4 Demographic Arrays 5 Demographic Accounts 6
Demographic Data II Bayesian Foundations 7 Bayesian Foundations 8 Bayesian
Model Specification 9 Bayesian Inference and Model Checking III Inferring
Arrays from Reliable Data 10 Inferring Demographic Arrays from Reliable
Data 11 Infant Mortality in Sweden 12 Life Expectancy in Portugal 13 Health
Expenditure in the Netherlands IV Inferring Arrays from Unreliable Data 14
Inferring Demographic Arrays from Unreliable Data 15 Internal Migration in
Iceland 16 Fertility in Cambodia V Inferring Accounts 17 Inferring
Demographic Accounts 18 Population in New Zealand 19 Population in China 20
Conclusion