Temat: non linear model - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: New linear model for optimal cluster size in cluster sampling
Autorzy:: Shukla, Alok Kumar
Yadav, Subhash Kumar
Powiązania:: https://bibliotekanauki.pl/articles/1363544.pdf
Data publikacji:: 2020-06-05
Wydawca:: Główny Urząd Statystyczny
Tematy:: Non-linear models
optimum cluster size
four-parameter model
variance function
Opis:: 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.
Źródło:: Statistics in Transition new series; 2020, 21, 2; 189-200
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: A Comparison of Small Area Estimation Methods for Poverty Mapping
Autorzy:: Guadarrama, María
Molina, Isabel
Rao, J. N. K.
Powiązania:: https://bibliotekanauki.pl/articles/465671.pdf
Data publikacji:: 2016
Wydawca:: Główny Urząd Statystyczny
Tematy:: area level model
non-linear parameters
empirical best estimator
hierarchical Bayes
poverty mapping
unit level models
Opis:: We review main small area estimation methods for the estimation of general nonlinear parameters focusing on FGT family of poverty indicators introduced by Foster, Greer and Thorbecke (1984). In particular, we consider direct estimation, the Fay-Herriot area level model (Fay and Herriot, 1979), the method of Elbers, Lanjouw and Lanjouw (2003) used by the World Bank, the empirical Best/Bayes (EB) method of Molina and Rao (2010) and its extension, the Census EB, and finally the hierarchical Bayes proposal of Molina, Nandram and Rao (2014). We put ourselves in the point of view of a practitioner and discuss, as objectively as possible, the benefits and drawbacks of each method, illustrating some of them through simulation studies.
Źródło:: Statistics in Transition new series; 2016, 17, 1; 41-66
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

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