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1. On the serial correlation in multi-horizon predictive quantile regression

Author:
Xu, Ke-Li
Source:
Economics letters 2021 v.200 pp. 109736
ISSN:
0165-1765
Subject:
regression analysis,   etc   ; autocorrelation; economics;     Show all 3 Subjects
Abstract:
... This note presents a result on the serial correlation of the score process of the predictive quantile regression with multi-horizon outcomes. The result indicates that inference of multi-horizon quantile (or median) regression is more robust to serial correlation induced by overlapping observations, than the standard multi-horizon mean regression. The finding is illustrated by stock return data. ...
DOI:
10.1016/j.econlet.2021.109736

2. Spatial Spillovers on Input‐specific Inefficiency of Dutch Arable Farms

Author:
Schneider, Kevin; Skevas, Ioannis; Oude Lansink, Alfons
Source:
Journal of agricultural economics 2021 v.72 no.1 pp. 224-243
ISSN:
0021-857X
Subject:
regression analysis,   etc   ; algorithms; insurance;     Show all 3 Subjects
Abstract:
... Traditional benchmarking implicitly assumes that decision making units operate in isolation from their peers. For arable production systems in particular, this assumption is unlikely to hold in reality. This paper quantifies spatial spillovers on input‐specific inefficiency using data envelopment analysis and a second‐stage bootstrap truncated regression model. The bootstrap algorithm is extended ...
DOI:
10.1111/1477-9552.12400

3. Composite quantile regression for ultra-high dimensional semiparametric model averaging

Author:
Guo, Chaohui; Lv, Jing; Wu, Jibo
Source:
Computational statistics & data analysis 2021 v.160 pp. 107231
ISSN:
0167-9473
Subject:
regression analysis,   etc   ; data analysis; models;     Show all 3 Subjects
Abstract:
... To estimate the joint multivariate regression function, a robust ultra-high dimensional semiparametric model averaging approach is developed. Specifically, a three-stage estimation procedure is proposed. In the first step, the joint multivariate function can be approximated by a weighted average of one-dimensional marginal regression functions which can be estimated robustly by the composite quant ...
DOI:
10.1016/j.csda.2021.107231

4. Estimating robot strengths with application to selection of alliance members in FIRST robotics competitions

Author:
Lim, Alejandro; Chiang, Chin-Tsang; Teng, Jen-Chieh
Source:
Computational statistics & data analysis 2021 v.158 pp. 107181
ISSN:
0167-9473
Subject:
regression analysis,   etc   ; data analysis; models;     Show all 3 Subjects
Abstract:
... Since the inception of the FIRST Robotics Competition (FRC) and its special playoff system, robotics teams have longed to appropriately quantify the strengths of their designed robots. The FRC includes a playground draft-like phase (alliance selection), arguably the most game-changing part of the competition, in which the top-8 robotics teams in a tournament based on the FRC’s ranking system asses ...
DOI:
10.1016/j.csda.2021.107181

5. Human factor, a critical weak point in the information security of an organization's Internet of things

Author:
Hughes-Lartey, Kwesi; Li, Meng; Botchey, Francis E.; Qin, Zhen
Source:
Heliyon 2021 v.7 no.3 pp. e06522
ISSN:
2405-8440
Subject:
regression analysis,   etc   ; Internet; humans; people;     Show all 4 Subjects
Abstract:
... Internet of Things (IoT) presents opportunities for designing new technologies for organizations. Many organizations are beginning to accept these technologies for their daily work, where employees can be connected, both on the organization's premises and the “outside”, for business continuity. However, organizations continue to experience data breach incidents. Even though there is a plethora of ...
DOI:
10.1016/j.heliyon.2021.e06522

6. Study to find out the perception that first year students in engineering have about the Computational Thinking skills, and to identify possible factors related to the ability of Abstraction

Author:
Bilbao, Javier; Bravo, Eugenio; García, Olatz; Rebollar, Carolina; Varela, Concepción
Source:
Heliyon 2021 v.7 no.2 pp. e06135
ISSN:
2405-8440
Subject:
regression analysis,   etc   ; computer science; education;     Show all 3 Subjects
Abstract:
... Since the end of the 20th century, the digitalization of society, including the educational systems, has been growing exponentially. At the same time, education systems have been evolving towards competency-based assessment. Likewise, at the beginning of this century, the idea of Computational Thinking was resurrected by J. Wing, for solving problems and designing systems using concepts of compute ...
DOI:
10.1016/j.heliyon.2021.e06135

7. Validation and calibration of the Eating Assessment in Toddlers FFQ (EAT FFQ) for children, used in the Growing Up Milk – Lite (GUMLi) randomised controlled trial

Author:
Lovell, Amy L.; Davies, Peter S. W.; Hill, Rebecca J.; Milne, Tania; Matsuyama, Misa; Jiang, Yannan; Chen, Rachel X.; Heath, Anne-Louise M.; Grant, Cameron C.; Wall, Clare R.
Source:
The British journal of nutrition 2021 v.125 no.2 pp. 183-193
ISSN:
1475-2662
Subject:
regression analysis,   etc   ; energy; milk; nutrition;     Show all 4 Subjects
Abstract:
... The Eating Assessment in Toddlers FFQ (EAT FFQ) has been shown to have good reliability and comparative validity for ranking nutrient intakes in young children. With the addition of food items (n 4), we aimed to re-assess the validity of the EAT FFQ and estimate calibration factors in a sub-sample of children (n 97) participating in the Growing Up Milk – Lite (GUMLi) randomised control trial (2015 ...
DOI:
10.1017/S0007114520002664

8. Distributed subdata selection for big data via sampling-based approach

Author:
Zhang, Haixiang; Wang, HaiYing
Source:
Computational statistics & data analysis 2021 v.153 pp. 107072
ISSN:
0167-9473
Subject:
regression analysis,   etc   ; data analysis; storage;     Show all 3 Subjects
Abstract:
... With the development of modern technologies, it is possible to gather an extraordinarily large number of observations. Due to the storage or transmission burden, big data are usually scattered at multiple locations. It is difficult to transfer all of data to the central server for analysis. A distributed subdata selection method for big data linear regression model is proposed. Particularly, a two ...
DOI:
10.1016/j.csda.2020.107072

9. Hypothesis testing of varying coefficients for regional quantiles

Author:
Park, Seyoung; Lee, Eun Ryung
Source:
Computational statistics & data analysis 2021 v.159 pp. 107204
ISSN:
0167-9473
Subject:
regression analysis,   etc   ; data analysis; linear models;     Show all 3 Subjects
Abstract:
... Testing the behavior of varying coefficients (VC) over a range of quantiles is important in the field of regression analysis. This study tests whether coefficient functions in varying quantile regression share common structural information across a certain range of quantile levels, even when linear combinations of covariates are unspecified in the null hypothesis. Our approach allows varying the c ...
DOI:
10.1016/j.csda.2021.107204

10. The municipal council, my neighbors and me: Social environmental influences in the city

Author:
Mostovoy, Noga; Carasso Romano, Gal H.; Rabinowitz, Dan; Soroker, Sharon; Carmi, Nurit
Source:
Journal of environmental management 2021 v.288 pp. 112393
ISSN:
0301-4797
Subject:
regression analysis,   etc   ; ecological footprint; environmental management; Israel;     Show all 4 Subjects
Abstract:
... This study seeks to examine the extent to which the level of municipal environmental management affects and complies with the behavioral norms of urban communities (city norms), and to what extent these affect environmental behavior at the individual level. We used a two-step, mixed-methods approach: a quantitative study of a representative sample of the urban sector (n = 1000) in Israel, followed ...
DOI:
10.1016/j.jenvman.2021.112393

11. Clusterwise functional linear regression models

Author:
Li, Ting; Song, Xinyuan; Zhang, Yingying; Zhu, Hongtu; Zhu, Zhongyi
Source:
Computational statistics & data analysis 2021 v.158 pp. 107192
ISSN:
0167-9473
Subject:
regression analysis,   etc   ; Bayesian theory; algorithms; data analysis;     Show all 4 Subjects
Abstract:
... Classical clusterwise linear regression is a useful method for investigating the relationship between scalar predictors and scalar responses with heterogeneous variation of regression patterns for different subgroups of subjects. This paper extends the classical clusterwise linear regression to incorporate multiple functional predictors by representing the functional coefficients in terms of a fun ...
DOI:
10.1016/j.csda.2021.107192

12. Forecasting Chinese economic growth, energy consumption, and urbanization using two novel grey multivariable forecasting models

Author:
Wang, Changrong; Cao, Yun
Source:
Journal of cleaner production 2021 v.299 pp. 126863
ISSN:
0959-6526
Subject:
regression analysis,   etc   ; energy; models; prediction; urbanization; China;     Show all 6 Subjects
Abstract:
... Economic growth, energy consumption, and urbanization are mutually influenced, therefore, forecasting economic growth, energy consumption and urbanization in China has always been important as it could help government to improve energy policies and plans. To this end, two novel grey multivariable models, SRMGM(1, M) and BRMGM(1, m), are designed in this paper. Compared with the MGM(1, M) model, th ...
DOI:
10.1016/j.jclepro.2021.126863

13. Temporal trends of atmospheric PAHs: Implications for the influence of the clean air action

Author:
Zhu, Fu-Jie; Ma, Wan-Li; Hu, Peng-Tuan; Zhang, Zi-Feng; Li, Yi-Fan
Source:
Journal of cleaner production 2021 v.296 pp. 126494
ISSN:
0959-6526
Subject:
regression analysis,   etc   ; air; half life; China;     Show all 4 Subjects
Abstract:
... A significant decline with primary air pollutants has occurred in China since 2013, benefiting from the Clean Air Action. Polycyclic aromatic hydrocarbons (PAHs), as ubiquitous organic pollutants in atmosphere, could also be influenced by the Action. However, related studies are limited in China. In this study, atmospheric PAHs in Harbin from June 2014 to May 2019 were monitored to evaluate the in ...
DOI:
10.1016/j.jclepro.2021.126494

14. SIMEX estimation in parametric modal regression with measurement error

Author:
Shi, Jianhong; Zhang, Yujing; Yu, Ping; Song, Weixing
Source:
Computational statistics & data analysis 2021 v.157 pp. 107158
ISSN:
0167-9473
Subject:
regression analysis,   etc   ; bias; data analysis; estimation; measurement;     Show all 5 Subjects
Abstract:
... A simulation–extrapolation procedure has been developed for estimating the regression coefficients in a class of parametric modal regression models when the covariates are prone to measurement errors. Large sample properties of the proposed estimator, including the consistency and asymptotic normality, have been thoroughly investigated. Simulation studies and real data applications have been condu ...
DOI:
10.1016/j.csda.2020.107158

15. Machine learning for cleaner production in port of Casablanca

Author:
Fahdi, Soukaina; Elkhechafi, Mariam; Hachimi, Hanaa
Source:
Journal of cleaner production 2021 v.294 pp. 126269
ISSN:
0959-6526
Subject:
regression analysis,   etc   ; air; air pollution; energy; Morocco;     Show all 5 Subjects
Abstract:
... Ports serves all the globe to receive all their materials needs but it consumes a huge energy (fuel, diesel) for handling heavy cargo then it produces an important unclean emission of CO2 making serious air pollution influencing our One earth, our One environment, our One society and our One health and it’s the appropriate time to appreciate the importance of breathing a clean Diamond Air.The pres ...
DOI:
10.1016/j.jclepro.2021.126269

16. Quantification of Lambda (Λ) in multi-elemental compound-specific isotope analysis

Author:
Höhener, Patrick; Imfeld, Gwenaël
Source:
Chemosphere 2021 v.267 pp. 129232
ISSN:
0045-6535
Subject:
regression analysis,   etc   ; ; benzene; data collection; equations;     Show all 5 Subjects
Abstract:
... In multi-elemental compound-specific isotope analysis the lambda (Λ) value expresses the isotope shift of one element versus the isotope shift of a second element. In dual-isotope plots, the slope of the regression lines typical reveals the footprint of the underlying isotope effects allowing to distinguish degradation pathways of an organic contaminant molecule in the environment. While different ...
DOI:
10.1016/j.chemosphere.2020.129232

17. The evaluation of fake and true news: on the role of intelligence, personality, interpersonal trust, ideological attitudes, and news consumption

Author:
Sindermann, Cornelia; Schmitt, Helena Sophia; Rozgonjuk, Dmitri; Elhai, Jon D.; Montag, Christian
Source:
Heliyon 2021 v.7 no.3 pp. e06503
ISSN:
2405-8440
Subject:
regression analysis,   etc   ; cognition; crystallization; humans; inventories; personality;     Show all 6 Subjects
Abstract:
... Individual differences in cognitive abilities and personality help to understand individual differences in various human behaviors. Previous work investigated individual characteristics in light of believing (i.e., misclassifying) fake news. However, only little is known about the misclassification of true news as fake, although it appears equally important to correctly identify fake and true news ...
DOI:
10.1016/j.heliyon.2021.e06503

18. Viral Loads and Disease Severity in Children with Rhinovirus-Associated Illnesses

Author:
Sanchez-Codez, Maria I.; Moyer, Katherine; Benavente-Fernández, Isabel; Leber, Amy L.; Ramilo, Octavio; Mejias, Asuncion
Source:
Viruses 2021 v.13 no.2
ISSN:
1999-4915
Subject:
regression analysis,   etc   ; Enterovirus; hospitals; odds ratio; oxygen;     Show all 5 Subjects
Abstract:
... The role of rhinoviruses (RVs) in children with clinical syndromes not classically associated with RV infections is not well understood. We analyzed a cohort of children ≤21 years old who were PCR+ for RV at a large Pediatric Hospital from 2011 to 2013. Using univariate and multivariable logistic regression, we analyzed the associations between demographic, clinical characteristics, microbiology d ...
DOI:
10.3390/v13020295

19. The relationship between vacant properties and neighborhood gentrification

Author:
Lee, Ryun Jung; Newman, Galen
Source:
Land use policy 2021 v.101 pp. 105185
ISSN:
0264-8377
Subject:
regression analysis,   etc   ; affordability; land policy; Minnesota;     Show all 4 Subjects
Abstract:
... The regeneration of vacant properties due to increased investments in declining neighborhoods does not always have positive outcomes. Vacant urban land can be, on one hand, an opportunity for neighborhood revitalization. On the other hand, regenerated vacant land can lead to neighborhood change in the form of gentrification, with increases in upper-class populations into mostly non-wealthy communi ...
DOI:
10.1016/j.landusepol.2020.105185

20. Knowledge extraction from pointer movements and its application to detect uncertainty

Author:
Cepeda, Catia; Dias, Maria Camila; Rindlisbacher, Dina; Gamboa, Hugo; Cheetham, Marcus
Source:
Heliyon 2021 v.7 no.1 pp. e05873
ISSN:
2405-8440
Subject:
regression analysis,   etc   ; cognition; models; uncertainty; user interface;     Show all 5 Subjects
Abstract:
... Pointer-tracking methods can capture a real-time trace at high spatio-temporal resolution of users' pointer interactions with a graphical user interface. This trace is potentially valuable for research on human-computer interaction (HCI) and for investigating perceptual, cognitive and affective processes during HCI. However, little research has reported spatio-temporal pointer features for the pur ...
DOI:
10.1016/j.heliyon.2020.e05873