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Wyszukujesz frazę "mixing distributions" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Clustering of Polish Citizens on the Bases of Their Support for Leaving and Remaining the European Union
Autorzy:
Kozłowski, Artur Roland
Krzykowski, Grzegorz
Fallon, Grahame
Powiązania:
https://bibliotekanauki.pl/articles/15846297.pdf
Data publikacji:
2023-06-30
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
Brexit
Polexit
Polska
EU fragmentation
Euroscepticism
EU support social components
mixing distributions
Opis:
The article presents the clustering of Polish citizens based on the empirical dimension of support for European integration. The structure of the work is based on three key elements constituting the basis of the presented text. The first refers to the development of a scale to measure the extent of support for the integration of Poland with the EU. The second element covers an area of support scale modelling. After the substantial and statistical analysis of the adequacy of the probability distribution for the support scale, it was decided that a model in which the scale underwent mixing non-standard Beta distributions would be adopted. Applying the Maximal Likelihood Method (ML), the components for its fitted probability densities and estimators of prior (or mixing) probabilities were indicated. The procedure allowed us to define the clusters of which the population of voters was composed. The paper’s final section presents many practical and theoretical conclusions for political parties and scientists interested in the discussed area. The novelty of applying the ML method goes hand in hand with the findings that previously appeared in political science literature, although under different economic and geopolitical conditions.
Źródło:
Polish Political Science Yearbook; 2023, 2(52); 49-70
0208-7375
Pojawia się w:
Polish Political Science Yearbook
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On the smoothed parametric estimation of mixing proportion under fixed design regression model
Autorzy:
Ramakrishnaiah, Y. S.
Trivedi, Manish
Satish, Konda
Powiązania:
https://bibliotekanauki.pl/articles/1359251.pdf
Data publikacji:
2019-04-25
Wydawca:
Główny Urząd Statystyczny
Tematy:
mixture of distributions
mixing proportion
smoothed parametric estimation
fixed design regression model
mean square error
optimal band width
strong consistency
asymptotic normality
Opis:
The present paper revisits an estimator proposed by Boes (1966) - James (1978), herein called BJ estimator, which was constructed for estimating mixing proportion in a mixed model based on independent and identically distributed (i.i.d.) random samples, and also proposes a completely new (smoothed) estimator for mixing proportion based on independent and not identically distributed (non-i.i.d.) random samples. The proposed estimator is nonparametric in true sense based on known “kernel function” as described in the introduction. We investigated the following results of the smoothed estimator under the non-i.i.d. set-up such as (a) its small sample behaviour is compared with the unsmoothed version (BJ estimator) based on their mean square errors by using Monte-Carlo simulation, and established the percentage gain in precision of smoothed estimator over its unsmoothed version measured in terms of their mean square error, (b) its large sample properties such as almost surely (a.s.) convergence and asymptotic normality of these estimators are established in the present work. These results are completely new in the literature not only under the case of i.i.d., but also generalises to non-i.i.d. set-up.
Źródło:
Statistics in Transition new series; 2019, 20, 1; 87-102
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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