eprintid: 13979
rev_number: 7
eprint_status: archive
userid: 5
dir: disk0/00/01/39/79
datestamp: 2016-11-18 12:24:58
lastmod: 2021-08-27 17:41:38
status_changed: 2016-11-18 12:24:58
type: book_section
metadata_visibility: show
item_issues_count: 1
creators_name: Keyfitz, N.
creators_id: AL0190
title: Heterogeneity and Selection in Population Analysis
ispublished: pub
divisions: prog_hss
abstract: Heterogeneity in the underlying population places difficulties in the way of interpretation of all statistical data based on averages. No two persons are equally likely to die in the next year; no two marriages are equally likely to be broken up by divorce; no two businesses are equally likely to fail; no two automobiles are equally likely to break down. That on the average a given make of automobile will travel 50,000 miles without major repairs offers little assurance for any particular automobile. Averages can be applied to individual cases only at great risk. This gross aspect of heterogeneity is not the subject of the present chapter.
date: 1985
date_type: published
publisher: Springer
id_number: 10.1007/978-1-4757-1879-9_14
creators_browse_id: 2026
full_text_status: none
series: Springer Texts in Statistics
place_of_pub: New Yok, USA
pagerange: 385-399
refereed: TRUE
isbn: 978-1-4757-1879-9
issn: 1431-875X
book_title: Applied Mathematical Demography
coversheets_dirty: FALSE
fp7_type: info:eu-repo/semantics/bookPart
citation:   Keyfitz, N. <https://pure.iiasa.ac.at/view/iiasa/2026.html>  (1985).  Heterogeneity and Selection in Population Analysis.    In:  Applied Mathematical Demography.  pp. 385-399 New Yok, USA: Springer.  ISBN 978-1-4757-1879-9 10.1007/978-1-4757-1879-9_14 <https://doi.org/10.1007/978-1-4757-1879-9_14>.