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Use of survey weights for the analysis of compositional data
Auteur(s)
Editeur(s)
Pawlosky-Glahn, V.
Buccianti, A.
Maison d'édition
Oxford: Wiley
Date de parution
2011
In
Compositional Data Analysis, Theory and Applications, chap. 9
De la page
114
A la page
127
Mots-clés
- use of survey weights - for compositional data analysis
- surveys
- built to optimize - estimation of totals in population subgroups
- number of variables
- key variable chosen
- design optimized - for variable
- between cost and precision
- analysis of compositions
- a byproduct - design
- never optimized for compositions
- survey design elements - data collection in finite population surveys
- existence of registers
- randomization - individual elements of population
- and sampling frame
- design-based estimation - estimation of statistic Q(S)
- function of random sample S
- causes of nonresponse – impossibility for contact
- refusal and unreturned questionnaires
- application to compositional data - design-based theory
- basic estimation approach used by data producers
- Swiss Earnings Structure Survey (SESS) - in the SESS
- D = 5 wage components recorded
- being gross earnings
use of survey weights...
surveys
built to optimize - e...
number of variables
key variable chosen
design optimized - fo...
between cost and prec...
analysis of compositi...
a byproduct - design
never optimized for c...
survey design element...
existence of register...
randomization - indiv...
and sampling frame
design-based estimati...
function of random sa...
causes of nonresponse...
refusal and unreturne...
application to compos...
basic estimation appr...
Swiss Earnings Struct...
D = 5 wage components...
being gross earnings
Résumé
This chapter contains sections titled:
- Introduction
- Elements of Survey Design
- Application to Compositional Data
- Discussion
- References
- Introduction
- Elements of Survey Design
- Application to Compositional Data
- Discussion
- References
Identifiants
Type de publication
book part