| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.4054/DemRes.2017.36.26 |
| Generalised count distributions for modelling parity. | |
| Barakat B | |
| 发表日期 | 2017 |
| 出处 | Demographic Research 36: 745-758 |
| 出版年 | 2017 |
| 语种 | 英语 |
| 摘要 | Background: Parametric count distributions customarily used in demography – the Poisson and negative binomial models – do not offer satisfactory descriptions of empirical distributions of completed cohort parity. One reason is that they cannot model variance-to-mean ratios below unity, i.e., underdispersion, which is typical of low-fertility parity distributions. Statisticians have recently revived two generalised count distributions that can model both over- and underdispersion, but they have not attracted demographers’ attention to date. |
| 主题 | World Population (POP) |
| URL | http://pure.iiasa.ac.at/id/eprint/14584/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/130830 |
| 推荐引用方式 GB/T 7714 | Barakat B. Generalised count distributions for modelling parity.. 2017. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| 36-26.pdf（795KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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