Bayesian Demographic Estimation and Forecasting (Hardcover)

Bayesian Demographic Estimation and Forecasting presents three statistical frameworks for modern demographic estimation and forecasting. The frameworks draw on recent advances in statistical methodology to provide new tools for tackling challenges such as disaggregation, measurement error, missing data, and combining multiple data sources. The methods apply to single demographic series, or to entire demographic systems. The methods unify estimation and forecasting, and yield detailed measures of uncertainty. The book assumes minimal knowledge of statistics, and no previous knowledge of demography. The authors have developed a set of R packages implementing the methods. Data and code for all applications in the book are available on www.bdef-book.com. "This book will be welcome for the scientific community of forecasters...as it presents a new approach which has already given important results and which, in my opinion, will increase its importance in the future." ~Daniel Courgeau, Institut national d'etudes demographiques

General

Imprint:	Productivity Press
Country of origin:	United States
Series:	Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Release date:	July 2018
First published:	2019
Authors:	John Bryant • Junni L. Zhang
Dimensions:	234 x 156 x 23mm (L x W x T)
Format:	Hardcover
Pages:	280
ISBN-13:	978-1-4987-6262-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Social sciences > Sociology, social studies > Social research & statistics > Social forecasting, futurology Promotions
LSN:	1-4987-6262-X
Barcode:	9781498762625

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