Developments in Demographic Forecasting
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...
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| その他の著者: | , |
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| フォーマット: | 電子媒体 図書の章 |
| 言語: | 英語 |
| 出版事項: |
Springer Nature
2020
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| シリーズ: | The Springer Series on Demographic Methods and Population Analysis
49 |
| 主題: | |
| オンライン･アクセス: | OAPEN Library: download the publication OAPEN Library: description of the publication |
| タグ: |
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| 要約: | 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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| 物理的記述: | 1 electronic resource (258 p.) |
| ISBN: | 978-3-030-42472-5 |
| アクセス: | Open Access |