Inferential Approaches in Finite Populations

Chaudhuri A
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Chaudhuri A: Applied Statistics Unit, Indian Statistical Institute, India

Biostatistics and Biometrics Open Access Journal, 2018, vol. 5, issue 4, 111-112

Abstract: Neyman developed the classical Design-based inferential theory in finite populations. A finite population containing a known number of objects, finite in number, and identifiable and tagged with labels is supposed to have a real variable defined on it with unknown values having a total which is required to be estimated.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:5:y:2018:i:4:p:111-112

DOI: 10.19080/BBOAJ.2018.05.555669

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