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oapen-20.500.12657-425652020-10-14T00:41:48Z Developments in Demographic Forecasting Mazzuco, Stefano Keilman, Nico Demography Statistics for Social Sciences, Humanities, Law Population and Demography Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Population forecasting Fertility Mortality Migration Forecasting evaluation Social Media data Population statistics Population modelling Bayesian population models Open access Population & demography Social research & statistics bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology::JHBD Population & demography bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology::JHBC Social research & statistics This open access book presents new developments in the field of demographic forecasting, covering both mortality, fertility and migration. For each component emerging methods to forecast them are presented. Moreover, instruments for forecasting evaluation are provided. Bayesian models, nonparametric models, cohort approaches, elicitation of expert opinion, evaluation of probabilistic forecasts are some of the topics covered in the book. In addition, the book is accompanied by complementary material on the web allowing readers to practice with some of the ideas exposed in the book. Readers are encouraged to use this material to apply the new methods to their own data. The book is an important read for demographers, applied statisticians, as well as other social scientists interested or active in the field of population forecasting. Professional population forecasters in statistical agencies will find useful new ideas in various chapters. 2020-10-13T12:29:52Z 2020-10-13T12:29:52Z 2020 book ONIX_20201013_9783030424725_37 https://library.oapen.org/handle/20.500.12657/42565 eng The Springer Series on Demographic Methods and Population Analysis application/pdf n/a 2020_Book_DevelopmentsInDemographicForec.pdf Springer Nature Springer 10.1007/978-3-030-42472-5 10.1007/978-3-030-42472-5 6c6992af-b843-4f46-859c-f6e9998e40d5 Springer 49 258 open access
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OAPEN
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DSpace
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English
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| description |
This open access book presents new developments in the field of demographic forecasting, covering both mortality, fertility and migration. For each component emerging methods to forecast them are presented. Moreover, instruments for forecasting evaluation are provided. Bayesian models, nonparametric models, cohort approaches, elicitation of expert opinion, evaluation of probabilistic forecasts are some of the topics covered in the book. In addition, the book is accompanied by complementary material on the web allowing readers to practice with some of the ideas exposed in the book. Readers are encouraged to use this material to apply the new methods to their own data. The book is an important read for demographers, applied statisticians, as well as other social scientists interested or active in the field of population forecasting. Professional population forecasters in statistical agencies will find useful new ideas in various chapters.
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2020_Book_DevelopmentsInDemographicForec.pdf
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2020_Book_DevelopmentsInDemographicForec.pdf
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2020_Book_DevelopmentsInDemographicForec.pdf
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| title_full |
2020_Book_DevelopmentsInDemographicForec.pdf
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| title_fullStr |
2020_Book_DevelopmentsInDemographicForec.pdf
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2020_Book_DevelopmentsInDemographicForec.pdf
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2020_book_developmentsindemographicforec.pdf
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| publisher |
Springer Nature
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| publishDate |
2020
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1771297557996109824
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