Use of survey weights for the analysis of compositional data
Author(s)
Editor(s)
Pawlosky-Glahn, V.
Buccianti, A.
Publisher
Oxford: Wiley
Date issued
2011
In
Compositional Data Analysis, Theory and Applications, chap. 9
From page
114
To page
127
Subjects
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
Abstract
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
Publication type
book part