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Inferential Approaches in Finite Populations

Author

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  • Chaudhuri A

    (Applied Statistics Unit, Indian Statistical Institute, India)

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.

Suggested Citation

  • Chaudhuri A, 2018. "Inferential Approaches in Finite Populations," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 5(4), pages 111-112, February.
    • Handle: RePEc:adp:jbboaj:v:5:y:2018:i:4:p:111-112
    DOI: 10.19080/BBOAJ.2018.05.555669
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    Cited by:

    1. Prabatha, Tharindu & Karunathilake, Hirushie & Mohammadpour Shotorbani, Amin & Sadiq, Rehan & Hewage, Kasun, 2021. "Community-level decentralized energy system planning under uncertainty: A comparison of mathematical models for strategy development," Applied Energy, Elsevier, vol. 283(C).

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