Survey sampling: Past controversies, current orthodoxy, and future paradigms
My contribution to this historic celebration of the COPSS concerns the field of survey sampling, its history and development since the seminal paper by Neyman (1934), current orthodoxy, and a possible direction for the future. Many encounter survey sampling through the dull prism of moment calculati...
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          | Published in | Past, Present, and Future of Statistical Science pp. 437 - 452 | 
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| Format | Book Chapter | 
| Language | English | 
| Published | 
            Chapman and Hall/CRC
    
        2014
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| Subjects | |
| Online Access | Get full text | 
| DOI | 10.1201/b16720-44 | 
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| Summary: | My contribution to this historic celebration of the COPSS concerns the field of
survey sampling, its history and development since the seminal paper by Neyman (1934), current orthodoxy, and a possible direction for the future. Many
encounter survey sampling through the dull prism of moment calculations,
but I have always found the subject fascinating. In my first sampling course,
I remember being puzzled by the different forms of weighting in regression —
by the inverse of the probability of selection, or by the inverse of the residual
variance (Brewer and Mellor, 1973). If they were different, which was right?
My early practical exposure was at the World Fertility Survey, where I learnt
some real-world statistics, and where the sampling guru was one of the giants
in the field, Leslie Kish (Kish et al., 1976). Kish was proud that the developing countries in the project were more advanced than developed countries
in publishing appropriate estimates of standard error that incorporated the
sample design. Always engaging, he shared my love of western classical music
and tolerated my model-based views. More recently, I spent time helping to
set up a research directorate at the US Census Bureau, an agency that was at
the forefront of advances in applied sampling under the leadership of Maurice
Hansen. | 
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| DOI: | 10.1201/b16720-44 |