The interlocking world of surveys and experiments
| Autor: | Stephen E. Fienberg, Judith M. Tanur |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Statistics and Probability
Theoretical computer science experimental design Randomized experiment Computer science randomization randomized experiments 01 natural sciences 010104 statistics & probability internal validity sample surveys embedding 0502 economics and business Sampling design Internal validity 0101 mathematics Parallels Interlocking 050205 econometrics TRACE (psycholinguistics) 05 social sciences Sampling (statistics) External validity Modeling and Simulation interviewer effects sampling design Embedding Statistics Probability and Uncertainty control |
| Zdroj: | Ann. Appl. Stat. 12, no. 2 (2018), 1157-1179 |
| ISSN: | 1157-1179 |
| Popis: | Random sampling and randomized experimentation are inextricably linked. Beginning with their common origins in the work of Fisher and Neyman from the 1920s and the 1930s, one can trace the development of parallel concepts and structures in the two areas (see Fienberg and Tanur [Bull. Int. Stat. Inst. 51 (1985) Art. ID 10.1; Int. Stat. Rev. 55 (1987) 75–96]). One of the more important lessons to be learned from the parallel concepts and structures is that they can profitably be linked and intertwined, with sampling embedded in experiments and formal experimental structures embedded in sampling designs. ¶ In this paper, we trace some of parallels between sampling theory and theory of experimental design. We then explore some of the ways that experimental and sampling structures have been combined in statistical practice and the principles that underlie their combination; we also make some suggestions toward the improvement of practice. |
| Databáze: | OpenAIRE |
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