- Autor
- Shukla Alok Kumar (D. A-V. College, India), Yadav Subhash Kumar (Babasaheb Bhimrao Ambedkar University, Lucknow, India)
- Tytuł
- New Linear Model for Optimal Cluster Size in Cluster Sampling
- Źródło
- Statistics in Transition, 2020, vol. 21, nr 2, s. 189-200, rys., tab., bibliogr. s. 199-200
- Słowa kluczowe
- Modele nieliniowe, Badania reprezentacyjne
Nonlinear models, Sampling survey - Uwagi
- summ.
- Abstrakt
- In this paper, a nonlinear model is proposed for improving the relationship between the size of a cluster and the variance within the cluster. This model describes the most appropriate functional relation between the within-cluster variance and the cluster size. Through this model, we can obtain the optimum size of a cluster and an estimate of the variance between clusters. The proposed model leads to further improvement in the estimation of the optimum size of a cluster, and the formula for the determination of optimum cluster size leads to explicit solution of models. (original abstract)
- Dostępne w
- Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka SGH im. Profesora Andrzeja Grodka
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach - Pełny tekst
- Pokaż
- Bibliografia
-
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- Cytowane przez
- ISSN
- 1234-7655
- Język
- eng
- URI / DOI
- http://dx.doi.org/10.21307/stattrans-2020-020
