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Use of survey weights for the analysis of compositional data
Abstract This chapter contains sections titled:
- Introduction
- Elements of Survey Design
- Application to Compositional Data
- Discussion
- References
   
Keywords 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
   
Citation Graf, M. (2011). Use of survey weights for the analysis of compositional data. In V. Pawlosky-Glahn & A. Buccianti (Eds.), Compositional Data Analysis, Theory and Applications, chap. 9 (pp. 114-127). Oxford: Wiley.
   
Type Book chapter (English)
Year 2011
Editor V. Pawlosky-Glahn, A. Buccianti
Book title Compositional Data Analysis, Theory and Applications, chap. 9
Publisher Wiley (Oxford)
Pages 114-127