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Modeling demographic relationships: an analysis of forecast functions for Australian births.

作者信息

Macdonald J

出版信息

J Am Stat Assoc. 1981 Dec;76(376):782-801. doi: 10.1080/01621459.1981.10477721.

DOI:10.1080/01621459.1981.10477721

PMID:12312151

Abstract

摘要

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Modeling demographic relationships: an analysis of forecast functions for Australian births.

作者信息

Macdonald J

出版信息

J Am Stat Assoc. 1981 Dec;76(376):782-801. doi: 10.1080/01621459.1981.10477721.

DOI:10.1080/01621459.1981.10477721

PMID:12312151

Abstract

摘要

相似文献

Modeling demographic relationships: an analysis of forecast functions for Australian births.

J Am Stat Assoc. 1981 Dec;76(376):782-801. doi: 10.1080/01621459.1981.10477721.

Forecasting Australian marriage rates.

Econ Rec. 1981;57(156):47-57. doi: 10.1111/j.1475-4932.1981.tb01699.x.

Projecting age-specific fertility rates by using time-series methods.

Eur J Popul. 1990 Mar;5(4):315-46. doi: 10.1007/BF01796791.

Models for forecasting residential populations: the geometric programming approach.

Reg Stud. 1981;15(6):521-31. doi: 10.1080/09595238100185461.

Forecast accuracy of Australian subnational population projections.

J Aust Popul Assoc. 1992 Nov;9(2):207-35. doi: 10.1007/BF03029370.

Labour market forecasting in Australia: the science of the art.

J Aust Popul Assoc. 1992 Nov;9(2):185-205. doi: 10.1007/BF03029369.

Forecasting metropolitan and urban subregional population changes and their resource use implications: methodology and example--Sydney, Australia.

Appl Geogr. 1983 Oct;3(4):277-301. doi: 10.1016/0143-6228(83)90046-2.

The Victorian population projection framework.

J Aust Popul Assoc. 1992 Nov;9(2):131-52. doi: 10.1007/BF03029366.

From birth expectations to birth forecasts: a partial-adjustment approach.

Math Popul Stud. 1991;3(2):127-44. doi: 10.1080/08898489109525330.

Economic-demographic modeling with endogenously determined birth and migration rates: theory and prospects.

Environ Plan A. 1985 Jan;17(1):25-45. doi: 10.1068/a170025.

引用本文的文献

Exploiting correlations across trials and behavioral sessions to improve neural decoding.

bioRxiv. 2024 Oct 10:2024.09.14.613047. doi: 10.1101/2024.09.14.613047.

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PLoS Comput Biol. 2023 Feb 21;19(2):e1010890. doi: 10.1371/journal.pcbi.1010890. eCollection 2023 Feb.

Sparse Sliced Inverse Regression Via Lasso.

J Am Stat Assoc. 2019;114(528):1726-1739. doi: 10.1080/01621459.2018.1520115. Epub 2019 Mar 9.

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Stat Biosci. 2017 Dec;9(2):676-691. doi: 10.1007/s12561-016-9184-6. Epub 2016 Nov 29.

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PLoS One. 2017 Jun 23;12(6):e0180016. doi: 10.1371/journal.pone.0180016. eCollection 2017.

An Empirical Bayes Method for Multivariate Meta-analysis with an Application in Clinical Trials.

Commun Stat Theory Methods. 2014 Jul 29;43(16):3536-3551. doi: 10.1080/03610926.2012.700379.

Bayesian inference on risk differences: an application to multivariate meta-analysis of adverse events in clinical trials.

Stat Biopharm Res. 2013 May 1;5(2):142-155. doi: 10.1080/19466315.2013.791483.

Population forecasts for Bangladesh, using a Bayesian methodology.

J Health Popul Nutr. 2012 Dec;30(4):456-63.

Bayesian analysis on meta-analysis of case-control studies accounting for within-study correlation.

Stat Methods Med Res. 2015 Dec;24(6):836-55. doi: 10.1177/0962280211430889. Epub 2011 Dec 4.

Evaluating the demographic impact of societal events through intervention analysis: the Brown vs. Board of Education decision.

Demography. 1984 Nov;21(4):673-82.