University of Wollongong
Browse

Small area estimation in practice an applocation to agricultural business survey data

Download (3.4 MB)
journal contribution
posted on 2024-11-14, 05:10 authored by Nikos Tzavidis, Raymond ChambersRaymond Chambers, Nicola Salvati, Hukum Chandra
This paper describes an application of small area estimation (SAbl to agricultural business survey data. Both well known small area estimators, such as the empirical best linear unbiased predictor (EBLUP), and more recently proposed small area estimators, for example, tile M-quanlile, the robust EBLUP aml!he Model Ansed Direct estimators arc considered. Mean squared error estimation is discussed. Using a real agricultural business survey dataset, we place emphasis on model diagnostics for specifying the small area working model, on diagnostic measures for validating the reliability of direct and indirect (modelbased) small area e.~timators i1nd on providing practical guidelines to the prospective user of small area estimation techniques.

History

Citation

Tzavidis, N., Chambers, R. L., Salvati, N. & Chandra, H. (2012). Small area estimation in practice an applocation to agricultural business survey data. Journal of the Indian Society of Agricultural Statistics, 66 (1), 213-228.

Journal title

Journal of the Indian Society of Agricultural Statistics

Volume

66

Issue

1

Pagination

213-228

Language

English

RIS ID

78475

Usage metrics

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC