Sampling Theory

Abdul Quader Miah ()
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Abdul Quader Miah: Asian Institute of Technology

Chapter Chapter 13 in Applied Statistics for Social and Management Sciences, 2016, pp 245-256 from Springer

Abstract: Abstract For population inferences, a complete count of the population would be desirable. Time and resource usually do not permit this. So we go for sampling. For population inferences to be valid, sampling is to be done complying with the theoretical requirements. The theories are explained. Advantages of sampling and prior survey considerations are explained. Principal steps involved in the choice of sample size are mentioned. Commonly used sampling methods dealing with simple random sampling, systematic sampling, cluster sampling, and stratified random sampling are explained.

Keywords: Sampling; Advantages; Types of sampling; Random; Systematic; Cluster; Stratified sampling (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-10-0401-8_13

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DOI: 10.1007/978-981-10-0401-8_13

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