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Spatial quantile regression in analysis of mortality

Grażyna Trzpiot et al · Lodz University Press · 2016

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The paper concerns mortality in Poland. The aim of the article is to identify factors determining average life length of men and women in 66 subregions of Poland. We use spatial quantile regression methodology which allows studying dependencies between variables in different quantiles of the response distribution. Moreover, this statistical tool is robust against violations of the classical regression assumption about the multidimensional distribution of error term.

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APA 7

al, G. T. E. (2016). Spatial quantile regression in analysis of mortality. https://doi.org/10.18778/0208-6018.325.14

MLA

al, Grażyna Trzpiot et. "Spatial quantile regression in analysis of mortality." 2016. https://doi.org/10.18778/0208-6018.325.14.

Chicago

al, Grażyna Trzpiot et. 2016. "Spatial quantile regression in analysis of mortality.". https://doi.org/10.18778/0208-6018.325.14.

Harvard

al, G. T. E. 2016, Spatial quantile regression in analysis of mortality, Lodz University Press, available at: https://doi.org/10.18778/0208-6018.325.14 [Accessed 8 Aug. 2026].

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Title
Spatial quantile regression in analysis of mortality
Author / contributors
Grażyna Trzpiot et al
Publisher
Lodz University Press
Publication year
2016
ISSN
0208-6018
ISSN
0208-6018
Language
English

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