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1. What ultimately prevents the pro-environmental behavior? An in-depth and extensive study of the behavioral costs

Author:
Huang, Liping; Wen, Yi; Gao, Jun
Source:
Resources, conservation, and recycling 2020 v.158 pp. 104747
ISSN:
0921-3449
Subject:
regression analysis,   etc   ; recycling; China;     Show all 3 Subjects
Abstract:
... There have been many studies on behavioral cost’s role in influencing pro-environmental behavior, however, a quantitative and universal measure for behavioral cost is still lacking. In this study, we first made an attempt to construct an indirect yet more rigorous measure for behavioral cost. Only with such a behavioral cost measure can more quantitative studies of behavioral cost’s role on behavi ...
DOI:
10.1016/j.resconrec.2020.104747

2. Single-index modal regression via outer product gradients

Author:
Yang, Jing; Tian, Guoliang; Lu, Fang; Lu, Xuewen
Source:
Computational statistics & data analysis 2020 v.144 pp. 106867
ISSN:
0167-9473
Subject:
regression analysis,   etc   ; algorithms; models;     Show all 3 Subjects
Abstract:
... Most existing methods for single-index models (SIM) were focused on either mean regression or quantile regression, while the former is sensitive to outliers or heavy tailed distributions and the latter may lose efficiency for normally distributed data. Then a robust, efficient and easily implemented estimation procedure for index coefficient in SIM is developed by integrating the ideas of local mo ...
DOI:
10.1016/j.csda.2019.106867

3. WinMLR, a software program for the simultaneous determination of several components in mixtures using multilinear regression analysis

Author:
Becerra, Eduardo; Danchana, Kaewta; Cerdà, Víctor
Source:
Talanta 2020 v.213 pp. 120830
ISSN:
0039-9140
Subject:
regression analysis,   etc   ; calibration; computer software;     Show all 3 Subjects
Abstract:
... The program WinMLR has been developed for the quantification of mixtures of several components by making a multilinear regression treatment of experimental data to a linear combination of standard signals. Data may be obtained with any multichannel detector having more measuring channels than components to be resolved. For a correct resolution, a linear relationship between the signal of every cha ...
DOI:
10.1016/j.talanta.2020.120830

4. Relative vorticity is the major environmental factor controlling tropical cyclone intensification over the Western North Pacific

Author:
Wu, Yusi; Chen, Shumin; Li, Weibiao; Fang, Rong; Liu, Haoya
Source:
Atmospheric research 2020 v.237 pp. 104874
ISSN:
0169-8095
Subject:
regression analysis,   etc   ; environmental factors; hurricanes; sea level;     Show all 4 Subjects
Abstract:
... The forecasting skill of tropical cyclone (TC) intensity has improved slowly over recent decades. The focus of this study was environmental vorticity, which is one of the dominant atmospheric factors controlling TC intensity, because few previous studies have investigated the quantitative contribution of environmental vorticity to the intensification of the majority of TCs. Stepwise multiple regre ...
DOI:
10.1016/j.atmosres.2020.104874

5. A novel Bayesian approach for variable selection in linear regression models

Author:
Posch, Konstantin; Arbeiter, Maximilian; Pilz, Juergen
Source:
Computational statistics & data analysis 2020 v.144 pp. 106881
ISSN:
0167-9473
Subject:
regression analysis,   etc   ; Bayesian theory; algorithms; models;     Show all 4 Subjects
Abstract:
... A novel Bayesian approach to the problem of variable selection in multiple linear regression models is proposed. In particular, a hierarchical setting which allows for direct specification of a priori beliefs about the number of nonzero regression coefficients as well as a specification of beliefs that given coefficients are nonzero is presented. This is done by introducing a new prior for a rando ...
DOI:
10.1016/j.csda.2019.106881

6. Conditional maximum likelihood estimation for semiparametric transformation models with doubly truncated data

Author:
Shen, Pao-sheng; Hsu, Huichen
Source:
Computational statistics & data analysis 2020 v.144 pp. 106862
ISSN:
0167-9473
Subject:
regression analysis,   etc   ; algorithms; data collection; equations; models;     Show all 5 Subjects
Abstract:
... Doubly truncated data arise when a failure time T is observed only if it falls within a subject-specific, possibly random, interval [U,V], where U and V are referred to as left- and right-truncation times, respectively. In this article, we consider the problem of fitting semiparametric transformation regression models to doubly truncated data. Most of the existing approaches in literature, which a ...
DOI:
10.1016/j.csda.2019.106862

7. Using fractal dimension and shape factors to characterize the microcrystalline cellulose (MCC) particle morphology and powder flowability

Author:
Xiu, Huijuan; Ma, Feiyan; Li, Jinbao; Zhao, Xin; Liu, Lihua; Feng, Pan; Yang, Xue; Zhang, Xuefei; Kozliak, Evguenii; Ji, Yun
Source:
Powder technology 2020 v.364 pp. 241-250
ISSN:
0032-5910
Subject:
regression analysis,   etc   ; cellulose; equations; fractal dimensions;     Show all 4 Subjects
Abstract:
... The flowability of microcrystalline cellulose is related to its particle morphology and structure, but this relation is difficult to characterize quantitatively, due to irregularity in particle shape. This study uses fractal dimension combined with shape factors (circularity, elongation, compactness, solidity) for characterization of six microcrystalline cellulose (MCC) powder samples of different ...
DOI:
10.1016/j.powtec.2020.01.045

8. Remaining useful life estimation of lithium-ion cells based on k-nearest neighbor regression with differential evolution optimization

Author:
Zhou, Yapeng; Huang, Miaohua; Pecht, Michael
Source:
Journal of cleaner production 2020 v.249 pp. 119409
ISSN:
0959-6526
Subject:
regression analysis,   etc   ; batteries; consumers (people); models;     Show all 4 Subjects
Abstract:
... Remaining useful life estimation is of great importance to customers who use battery-powered products. This paper develops a remaining useful life estimation model based on k-nearest neighbor regression by incorporating data from all the cells in a battery pack. A differential evolution technique is employed to optimize the parameters in the estimation model. In this approach, remaining useful lif ...
DOI:
10.1016/j.jclepro.2019.119409

9. A functional generalized F‐test for signal detection with applications to event‐related potentials significance analysis

Author:
Causeur, David; Sheu, Ching‐Fan; Perthame, Emeline; Rufini, Flavia
Source:
Biometrics 2020 v.76 no.1 pp. 246-256
ISSN:
0006-341X
Subject:
regression analysis,   etc   ; biometry; brain; models; stochastic processes;     Show all 5 Subjects
Abstract:
... Motivated by the analysis of complex dependent functional data such as event‐related brain potentials (ERP), this paper considers a time‐varying coefficient multivariate regression model with fixed‐time covariates for testing global hypotheses about population mean curves. Based on a reduced‐rank modeling of the time correlation of the stochastic process of pointwise test statistics, a functional ...
DOI:
10.1111/biom.13118

10. Southern-Hemisphere high-latitude stratospheric warming revisit

Author:
Xia, Yan; Xu, Weixuan; Hu, Yongyun; Xie, Fei
Source:
Climate dynamics 2020 v.54 no.3-4 pp. 1671-1682
ISSN:
0930-7575
Subject:
regression analysis,   etc   ; climate; latitude; ozone; stratosphere; troposphere;     Show all 6 Subjects
Abstract:
... Previous studies showed significant stratospheric warming at the Southern-Hemisphere (SH) high latitudes in September and October over 1979–2006. The warming trend center was located over the Southern Ocean poleward of the Western Pacific in September, with a maximum trend of about 2.8 K/decade. The warming trends in October showed a dipole pattern, with the warming center over the Ross and Amunds ...
DOI:
10.1007/s00382-019-05083-7

11. Balancing tests in stratified randomized controlled trials: A cautionary note

Author:
Firpo, Sergio; Foguel, Miguel N.; Jales, Hugo
Source:
Economics letters 2020 v.186 pp. 108771
ISSN:
0165-1765
Subject:
regression analysis,   etc   ; economics; randomized clinical trials;     Show all 3 Subjects
Abstract:
... We study the properties of imbalances tests of predetermined characteristics (covariates) in stratified randomized controlled trials. When the parameter of interest is a weighted average of the causal effects at all strata, then a test statistic based on a fixed effects regression model may suffice to detect the relevant imbalances. This will be true under a condition on the partial correlation be ...
DOI:
10.1016/j.econlet.2019.108771

12. An improved forecast of precipitation type using correlation-based feature selection and multinomial logistic regression

Author:
Moon, Seung-Hyun; Kim, Yong-Hyuk
Source:
Atmospheric research 2020 v.240 pp. 104928
ISSN:
0169-8095
Subject:
regression analysis,   etc   ; atmospheric precipitation; prediction; weather forecasting; South Korea;     Show all 5 Subjects
Abstract:
... Accurate prediction of precipitation type is an important part of weather forecasting. But using meteorological insight to make such predictions from a small set of weather variables achieves only limited success. We use correlation-based feature selection to assemble an effective subset of the large number of weather variables available in short-range weather forecasts, and from these we obtain t ...
DOI:
10.1016/j.atmosres.2020.104928

13. Development of a prediction model for the pericarp CIE a* value of mature green tomato at different storage temperatures as a function of cumulative ethylene production

Author:
Ciptaningtyas, Drupadi; Kagoshima, Wakana; Iida, Rei; Umehara, Hitomi; Johkan, Masafumi; Nakamura, Nobutaka; Orikasa, Takahiro; Thammawong, Manasikan; Shiina, Takeo
Source:
Journal of food engineering 2020 v.278 pp. 109945
ISSN:
0260-8774
Subject:
regression analysis,   etc   ; color; ethylene production; pericarp; storage temperature; tomatoes;     Show all 6 Subjects
Abstract:
... An estimation model following the sigmoid function of pericarp color based on the cumulative ethylene production was proposed. In the first part of the experiment, the same quintuplet samples were stored at 15 and 25 °C, respectively. In the second part, 114 tomatoes were stored at 12, 15, and 20 °C, and different triplet samples were used every time. It was concluded that the proposed model well ...
DOI:
10.1016/j.jfoodeng.2020.109945

14. Accounting for the uncertainty due to chemicals below the detection limit in mixture analysis

Author:
Hargarten, Paul M.; Wheeler, David C.
Source:
Environmental research 2020 v.186 pp. 109466
ISSN:
0013-9351
Subject:
regression analysis,   etc   ; Bayesian theory; detection limit; environmental exposure; uncertainty;     Show all 5 Subjects
Abstract:
... Simultaneous exposure to a mixture of chemicals over a lifetime may increase an individual's risk of disease to a greater extent than individual exposures. Researchers have used weighted quantile sum (WQS) regression to estimate the effect of multiple exposures in a manner that identifies the important (etiologically relevant) components in the mixture. However, complications arise when an experim ...
DOI:
10.1016/j.envres.2020.109466

15. Estimating derivatives of function-valued parameters in a class of moment condition models

Author:
Rothe, Christoph; Wied, Dominik
Source:
Journal of econometrics 2020 v.217 no.1 pp. 1-19
ISSN:
0304-4076
Subject:
regression analysis,   etc   ; auctions; econometric models; economic analysis; economic theory;     Show all 5 Subjects
Abstract:
... We develop a general approach to estimating the derivative of a function-valued parameter θo(u) that is identified for every value of u as the solution to a moment condition. This setup in particular covers interesting models for conditional distributions, such as quantile regression or distribution regression. Exploiting that θo(u) solves a moment condition, we obtain an explicit expression for i ...
DOI:
10.1016/j.jeconom.2019.11.004

16. Study of optimal large-scale offshore wind turbines

Author:
Ju, Shen-Haw; Huang, Yu-Cheng; Huang, Yin-Yu
Source:
Renewable energy 2020 v.154 pp. 161-174
ISSN:
0960-1481
Subject:
regression analysis,   etc   ; renewable energy sources; steel; wind turbines;     Show all 4 Subjects
Abstract:
... This study investigates optimal large-scale offshore wind turbines (OWT). The blade data for large-scale OWTs is developed using the NREL 5-MW baseline OWT and validated using the DTU 10-MW reference one, where the blade parameters for OWTs ranging from 5 to 17 MW are established. Interpolation, extrapolation, and regression analyses are used to obtain the relationship between the chord length and ...
DOI:
10.1016/j.renene.2020.02.106

17. Has technological innovation capability addressed environmental pollution from the dual perspective of FDI quantity and quality? Evidence from China

Author:
Wang, Xiuting; Luo, Yan
Source:
Journal of cleaner production 2020 v.258 pp. 120941
ISSN:
0959-6526
Subject:
regression analysis,   etc   ; environmental quality; pollution; sustainable development; technology; China;     Show all 6 Subjects
Abstract:
... With China’s economy gradually entering a new stage of high-quality development, how to effectively improve the level of technological innovation, rational use of foreign investment, and reduce the level of environmental pollution have become important tasks of China’s ecological civilization construction. This study used panel data from 30 provinces in China from 2006 to 2016, using FDI quantity ...
DOI:
10.1016/j.jclepro.2020.120941

18. Using crowd-sourced allergic rhinitis symptom data to improve grass pollen forecasts and predict individual symptoms

Author:
Silver, Jeremy D.; Spriggs, Kymble; Haberle, Simon G.; Katelaris, Constance H.; Newbigin, Edward J.; Lampugnani, Edwin R.
Source:
The Science of the total environment 2020 v.720 pp. 137351
ISSN:
0048-9697
Subject:
regression analysis,   etc   ; cities; grasses; hay fever; models; pollen; prediction;     Show all 7 Subjects
Abstract:
... Seasonal allergic rhinitis (AR), also known as hay fever, is a common respiratory condition brought on by a range of environmental triggers. Previous work has characterised the relationships between community-level AR symptoms collected using mobile apps in two Australian cities, Canberra and Melbourne, and various environmental covariates including pollen. Here, we build on these relationships by ...
DOI:
10.1016/j.scitotenv.2020.137351

19. Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping

Author:
Fang, Zhice; Wang, Yi; Peng, Ling; Hong, Haoyuan
Source:
Computers & geosciences 2020 v.139 pp. 104470
ISSN:
0098-3004
Subject:
regression analysis,   etc   ; landslides; models; support vector machines; China;     Show all 5 Subjects
Abstract:
... Landslides are regarded as one of the most common geological hazards in a wide range of geo-environment. The aim of this study is to assess landslide susceptibility by integrating convolutional neural network (CNN) with three conventional machine learning classifiers of support vector machine (SVM), random forest (RF) and logistic regression (LR) in the case of Yongxin Country, China. To this end, ...
DOI:
10.1016/j.cageo.2020.104470

20. A methodology for the assessment of pedestrians-cyclists shared space level of service

Author:
Nikiforiadis, Andreas; Basbas, Socrates; Garyfalou, Marina Iliana
Source:
Journal of cleaner production 2020 v.254 pp. 120172
ISSN:
0959-6526
Subject:
regression analysis,   etc   ; bicycling; decision making; models; prediction; Greece;     Show all 6 Subjects
Abstract:
... The limited available public space and the intention to promote active mobility, enhance the importance and the interest about pedestrians-cyclists shared spaces. This paper proposes a new methodology for determining the level of service (LOS) in shared spaces, based on the hindrance concept. In this context: a) the types of events between the users were identified, b) regression tree models for p ...
DOI:
10.1016/j.jclepro.2020.120172