Bryant, John,  1969- <br/><br/>
Bayesian demographic estimation and forecasting / 
by John Bryant and Junni L. Zhang. 
 - First edition. 
 - 1 online resource (292 pages). 
 - Chapman & Halll/CRC statistics in the social and behavioral sciences .
 - Chapman & Halll/CRC statistics in the social and behavioral sciences. .
<br/><br/> chapter 1 Introduction /  part I Demographic Foundations --   chapter 2 Demographic Foundations /  chapter 3 Demographic Individuals /  chapter 4 Demographic Arrays /  chapter 5 Demographic Accounts /  chapter 6 Demographic Data /  part II Bayesian Foundations --   chapter 7 Bayesian Foundations /  chapter 8 Bayesian Model Specification /  chapter 9 Bayesian Inference and Model Checking /  part III Inferring Demographic Arrays from Reliable Data --   chapter 10 Inferring Demographic Arrays from Reliable Data /  chapter 11 Infant Mortality in Sweden /  chapter 12 Life Expectancy in Portugal /  chapter 13 Health Expenditure in the Netherlands /  part IV Inferring Demographic Arrays from Unreliable Data --   chapter 14 Inferring Demographic Arrays from Unreliable Data /  chapter 15 Internal Migration in Iceland /  chapter 16 Fertility in Cambodia /  part V Inferring Demographic Accounts --   chapter 17 Inferring Demographic Accounts /  chapter 18 Population in New Zealand /  chapter 19 Population in china /  chapter 20 Conclusion /  John Bryant --   John Bryant --   John Bryant --   John Bryant --   John Bryant --   John Bryant --   John Bryant --   John Bryant --   John Bryant --   John Bryant --   John Bryant --   John Bryant --   John Bryant --   John Bryant --   John Bryant --   John Bryant --   John Bryant --   John Bryant --   John Bryant --   John Bryant. 
<br/><br/> 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'études démographiques. 
<br/><br/><label>ISBN: </label>9780429452987 
<br/><br/><label>Subjects--Topical Terms: </label><br/>MEDICAL / Epidemiology.<br/>Demography--Statistical methods.<br/>Population forecasting--Statistical methods.
<br/><br/><label>LC Class. No.: </label>HB849.53  / .B79 2018 
<br/><br/><label>Dewey Class. No.: </label>304.601/519287