Zobrazeno 1 - 10
of 381
pro vyhledávání: '"Tzavidis"'
Publikováno v:
Journal of the American Statistical Association (2023)
In this paper, we develop a unified regression approach to model unconditional quantiles, M-quantiles and expectiles of multivariate dependent variables exploiting the multidimensional Huber's function. To assess the impact of changes in the covariat
Externí odkaz:
http://arxiv.org/abs/2308.00769
Publikováno v:
Demographic Research, 2023 Jul 01. 49, 385-422.
Externí odkaz:
https://www.jstor.org/stable/48754910
The identification of factors associated with mental and behavioral disorders in early childhood is critical both for psychopathology research and the support of primary health care practices. Motivated by the Millennium Cohort Study, in this paper w
Externí odkaz:
http://arxiv.org/abs/2109.06751
Publikováno v:
Demographic Research, Vol 49, Iss 15, Pp 385-422 (2023)
BACKGROUND: In 2015 Mexico set a goal to halve its adolescent fertility rate and eliminate childbearing among girls 14 years and younger, but the ambitious goal is severely off track. National estimates show stagnation, and while implementation is ta
Externí odkaz:
https://doaj.org/article/ea35d71eb08c4eb689175a9d8fc78ed6
M-quantile regression is a general form of quantile-like regression which usually utilises the Huber influence function and corresponding tuning constant. Estimation requires a nuisance scale parameter to ensure the M-quantile estimates are scale inv
Externí odkaz:
http://arxiv.org/abs/2011.10522
Publikováno v:
J R Stat Soc Series C, 70: 312-334 (2021)
Small area (or small domain) estimation is still rarely applied in business statistics, because of challenges arising from the skewness and variability of variables such as turnover. We examine a range of small area estimation methods as the basis fo
Externí odkaz:
http://arxiv.org/abs/2006.01864
Publikováno v:
In Computational Statistics and Data Analysis September 2022 173
Autor:
Alfo', Marco, Marino, Maria Francesca, Ranalli, Maria Giovanna, Salvati, Nicola, Tzavidis, Nikos
We propose a M-quantile regression model for the analysis of multivariate, continuous, longitudinal data. M-quantile regression represents an appealing alternative to standard regression models, as it combines the robustness of quantile and the effic
Externí odkaz:
http://arxiv.org/abs/1612.08114
Publikováno v:
Journal of the American Statistical Association; Sep2024, Vol. 119 Issue 547, p2154-2165, 12p
Linear quantile regression models aim at providing a detailed and robust picture of the (conditional) response distribution as function of a set of observed covariates. Longitudinal data represent an interesting field of application of such models; d
Externí odkaz:
http://arxiv.org/abs/1501.02157