John Bryant, Junni L. Zhang

eBook, ePUB

Bayesian Demographic Estimation and Forecasting (eBook, ePUB)

Beschreibung

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.

Technische Details

• Geräte: eReader
• mit Kopierschutz
• Größe: 7.68MB

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• Mathematische Inhalte in MathML für assistive Technologien

Autor

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).

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 292
• Erscheinungstermin: 27. Juni 2018
• Englisch
• ISBN-13: 9780429841330
• Artikelnr.: 54258674