贝雷帽
发表于 2025-3-27 00:24:09
Zero-Distorted Generalized Geometric Distribution with Application to Time Series of Counts,in which the law conditional to the past belongs to this family of laws. The first-order stationarity of this model is established. Modelling the number of new Hantavirus infection cases per week reported in a German state between 2005 and 2018 concludes this study.
NEG
发表于 2025-3-27 03:44:15
,Some Determinants for Road Accidents Severity in the District of Setúbal,ities and serious injuries. With a logistic regression model, we identify some determinants which can explain the existence of serious and/or fatal injuries in road accidents: type of accident, geographical factors, temporal factors, road characteristics, drivers’ characteristics, vehicles’ features, and victims’ characteristics.
小官
发表于 2025-3-27 07:04:39
Identification of Antibody Responses Predictive of Protection Against Clinical Malaria,uct a classifier based on few antibodies, whose performance outperformed the previous ones based on a Random forest approach. The good performance of the pipeline suggests its applicability in antibody data analysis with the aim of identifying antimalarial vaccine candidates.
MODE
发表于 2025-3-27 11:50:39
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蚊帐
发表于 2025-3-27 17:28:23
On the Maximum of a Bivariate Max-INAR(1) Process,ce, we deduce that the innovations have a tail equivalent to a bivariate geometric distribution. By proving that the restriction dependence conditions introduced in [.] hold, we establish asymptotic lower and upper bounds for the distribution function of the double maxima.
预定
发表于 2025-3-27 21:51:11
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熟练
发表于 2025-3-28 01:18:16
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健谈的人
发表于 2025-3-28 03:44:14
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漂亮
发表于 2025-3-28 07:32:45
2194-1009 udents and researchers.Comprises selected contributions presThis volume presents a collection of twenty-five peer-reviewed articles carefully selected from the contributions presented at the XXV Congress of the Portuguese Statistical Society (2021). Containing state-of-the-art developments in theore
是限制
发表于 2025-3-28 14:04:04
Regina Bispo,Lígia Henriques-Rodrigues,Miguel de CDescribes new developments in statistics and data science with applications.Provides motivational and interdisciplinary work for graduate students and researchers.Comprises selected contributions pres