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Andrés F. Ochoa-Muñoz and Javier E. Contreras-Reyes
Missing or unavailable data (NA) in multivariate data analysis is often treated with imputation methods and, in some cases, records containing NA are eliminated, leading to the loss of information. This paper addresses the problem of NA in multiple facto...
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Boqian Ji, Jun Huang, Xiaoqiang Lu, Yacong Wu and Jingjiang Liu
The wing aerodynamic shape optimization is a typical high-dimensional problem with numerous independent design variables. Researching methods to reduce the dimensionality of optimization from the perspective of aerodynamic characteristics is necessary. O...
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Tianyi Zhang, Song Peng, Yang Jia, He Tian, Junkai Sun and Chuliang Yan
China?s Mars rover Zhurong successfully landed on Mars on 15 May 2021, and it is currently conducting an exploration mission on the Red Planet. This paper develops slip estimation models for the Mars rover Zhurong based on the data drive approach. Data w...
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João Pedro Serenini, Terezinha Aparecida Guedes, Juliana Glória Franco Roberto, William Mário de Carvalho Nunes
Pág. e41646
There are several techniques available for longitudinal data analysis. In the last decade, much emphasis has been placed on generalized mixed models. The present work is dedicated to give an overview of this technique, with emphasis on the formulation, i...
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João Pedro Serenini, Terezinha Aparecida Guedes, Juliana Glória Franco Roberto, William Mário de Carvalho Nunes (Author)
Pág. e41646
There are several techniques available for longitudinal data analysis. In the last decade, much emphasis has been placed on generalized mixed models. The present work is dedicated to give an overview of this technique, with emphasis on the formulation, i...
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Tomoe Kanaya and Stephen J. Ceci
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Simone Z. Leao, Scott N. Lieske, Lindsey Conrow, Jonathan Doig, Vandana Mann and Chris J. Pettit
To realize the full potential of crowdsourced data collected by smartphone applications in urban research and planning, there is a need for parsimonious, reliable, computationally and temporally efficient data processing routines. The literature indicate...
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Simone Z. Leao, Scott N. Lieske, Lindsey Conrow, Jonathan Doig, Vandana Mann and Chris J. Pettit
To realize the full potential of crowdsourced data collected by smartphone applications in urban research and planning, there is a need for parsimonious, reliable, computationally and temporally efficient data processing routines. The literature indicate...
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Fabien Leurent, Xiaoyan Xie
Pág. 688 - 695
The variability in passengers? waiting times in urban mass transit is significant at the trip level since it ranges from some dozen seconds to half headway. Despite the attention paid so far to individual wait times in urban transit systems, a related is...
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Emily Hurren, Anna Stewart and Susan Dennison
Administrative data are crucial to the ?big data? revolution of social science and have played an important role in the development of child maltreatment research. These data are also of value to administrators, policy makers, and clinicians. The focus o...
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Peng Chen, Jiangping Zhou, Feiyang Sun
This study examines determinants of bicycle volume in the built environment with a five-year bicycle count dataset from Seattle, Washington. A generalized linear mixed model (GLMM) is used to capture the bicycle volume change over time while controlling ...
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Matheus Henrique Dal Molin Ribeiro, Humberto Milani, Isolde Previdelli (Author)
Pág. 345 - 352
The data modeling from longitudinal studies stands out in the current scientific scenario, especially in the areas of health and biological sciences, which induces a correlation between measurements for the same observed unit. Thus, the modeling of the i...
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Wei-Bo Chen and Wen-Cheng Liu
A large amount of accurate river cross-section data is indispensable for predicting river stages. However, the measured river cross-section data are usually sparse in the transverse direction at each cross-section as well as in the longitudinal direction...
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Wei-Bo Chen, Wen-Cheng Liu
Pág. 1 - 24
A large amount of accurate river cross-section data is indispensable for predicting river stages. However, the measured river cross-section data are usually sparse in the transverse direction at each cross-section as well as in the longitudinal direction...
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Jamie Pearce, Niamh Shortt, Esther Rind and Richard Mitchell
Researchers interested in the relationships between place and health have been slow to incorporate a life course perspective, probably due to the lack of readily available historical environmental data. This hinders the identification of causal relations...
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Monika Bjelopavlovic, Desiree Degering, Karl Martin Lehmann, Daniel G. E. Thiem, Jochen Hardt and Katja Petrowski
The INTERPOL standard for the identification of unknown individuals includes the established primary characteristics of fingerprint, DNA, and teeth. Exposure to noxious agents such as fire and water often severely limits the availability of usable materi...
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Nicola Ciccarelli
Pág. 89 - 127
We analyze the effect of employer-sponsored health insurance premiums on employment and annual wages in the US using a county-level panel dataset for the period 2005-2010. Using variation in medical malpractice payments and variation in medical malpracti...
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Kiyoshi Umeki,Marc David Abrams,Keisuke Toyama,Eri Nabeshima
Pág. e019
Aim of study: To develop a statistical model framework to analyze longitudinal wind-damage records while accounting for autocorrelation, and to demonstrate the usefulness of the model in understanding the regeneration process of a natural forest.Area of ...
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Miharu Nakanishi, Kaori Endo and Shuntaro Ando
A suicide prevention strategy was launched in Japan in 2006 to address the high suicide rate, which had increased considerably since 1998. The national strategy from 2007 involved the enhancement of psychiatric treatment services at emergency medical fac...
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Benoît Cornut
Pág. 61 - 71
We are interested in this paper to the longitudinal analysis of car ownership (number of cars per household) and car travel demand (the number of trips made by car per household and per day) in the Paris metropolitan area. The aim is to find the determin...
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