找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Inverse Projection Techniques; Old and New Approach Elisabetta Barbi,Salvatore Bertino,Eugenio Sonnino Book 2004 Springer-Verlag Berlin Hei

[复制链接]
查看: 49372|回复: 36
发表于 2025-3-21 16:35:58 | 显示全部楼层 |阅读模式
书目名称Inverse Projection Techniques
副标题Old and New Approach
编辑Elisabetta Barbi,Salvatore Bertino,Eugenio Sonnino
视频video
丛书名称Demographic Research Monographs
图书封面Titlebook: Inverse Projection Techniques; Old and New Approach Elisabetta Barbi,Salvatore Bertino,Eugenio Sonnino Book 2004 Springer-Verlag Berlin Hei
描述.Inverse Projection is a method for estimating accurate demographic indicators of a population where vital registration data are available, but population censuses are lacking or unreliable. The book offers an overview of the present state of methodological development in the field of inverse projection techniques. In the various chapters of the book, leading experts in demography and related fields review the method, discuss recent extensions, test performances, and stress differences of the various procedures. The book is intended for all scientists who are interested in the reconstruction of demographic scenarios in particular situations, with specific kinds of data, as well as for statisticians and mathematicians who are attracted by this fascinating field of application. .
出版日期Book 2004
关键词Census; Censuses; Demographic Processes; Demography; Historical Demography; Inverse Projection; Population
版次1
doihttps://doi.org/10.1007/978-3-662-08016-0
isbn_softcover978-3-642-05892-9
isbn_ebook978-3-662-08016-0Series ISSN 1613-5520 Series E-ISSN 2197-9286
issn_series 1613-5520
copyrightSpringer-Verlag Berlin Heidelberg 2004
The information of publication is updating

书目名称Inverse Projection Techniques影响因子(影响力)




书目名称Inverse Projection Techniques影响因子(影响力)学科排名




书目名称Inverse Projection Techniques网络公开度




书目名称Inverse Projection Techniques网络公开度学科排名




书目名称Inverse Projection Techniques被引频次




书目名称Inverse Projection Techniques被引频次学科排名




书目名称Inverse Projection Techniques年度引用




书目名称Inverse Projection Techniques年度引用学科排名




书目名称Inverse Projection Techniques读者反馈




书目名称Inverse Projection Techniques读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 22:45:33 | 显示全部楼层
Inverse Projection: Fine-Tuning and Expanding the Method,hs and an estimate of initial population size — to infer refined demographic statistics — life expectancy, gross and net reproduction ratios, and even population age structures. Instead of deriving counts from age-specific rates as with conventional cohort projection, inverse projection estimates ag
发表于 2025-3-22 02:44:05 | 显示全部楼层
发表于 2025-3-22 07:30:55 | 显示全部楼层
,The Stochastic Inverse Projection and the Population of Velletri (1590–1870), decades. R. Lee [10] was the first to suggest a method known as the Inverse Projection (IP) to estimate the structural evolution of a population during a determined period of time, given the time series of births and deaths and the size and composition by age of the population at the first year of
发表于 2025-3-22 12:23:48 | 显示全部楼层
发表于 2025-3-22 14:13:28 | 显示全部楼层
发表于 2025-3-22 18:36:45 | 显示全部楼层
Cohort Reproduction Patterns in Small Italian Towns: Results from Stochastic Inverse Projection,tion (SIP) technique., has enabled us to achieve a detailed reconstruction of the reproductive systems in these populations. In this study, the time patterns of the population dynamics in twelve communities have been analysed on the basis of the period analysis of fertility and mortality rates. The
发表于 2025-3-23 00:20:39 | 显示全部楼层
发表于 2025-3-23 03:39:34 | 显示全部楼层
发表于 2025-3-23 07:46:23 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-10 21:51
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表