2014•Wiley StatsRef: Statistics Reference OnlineRequires access

Sampling Designs in Surveys

Siegfried Gabler

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Abstract

Abstract Survey sampling basically consists of the selection of a part of a population and the subsequent inference from this selected sample. To derive statistical conclusions from the actually collected data, a stochastic background based on a random selection procedure is necessary. Depending on the availability of frames, surveys will use simple or complex samples.

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What this paper is about

Abstract Survey sampling basically consists of the selection of a part of a population and the subsequent inference from this selected sample. To derive statistical conclusions from the actually collected data, a stochastic background based on a random selection procedure is necessary. Depending on the availability of frames, surveys will use simple or complex samples.

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Available abstract

Abstract Survey sampling basically consists of the selection of a part of a population and the subsequent inference from this selected sample. To derive statistical conclusions from the actually collected data, a stochastic background based on a random selection procedure is necessary. Depending on the availability of frames, surveys will use simple or complex samples.

Key concepts: Simple random sample, Sampling (signal processing), Selection (genetic algorithm), Sampling design, Statistical inference, Statistics, Inference, Sample (material)

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