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1. Break point analyses of human or environmental temporal trends of POPs

Author:
Hites, Ronald A.
Source:
The Science of the total environment 2019 v.664 pp. 518-521
ISSN:
0048-9697
Subject:
regression analysis,   etc   ; humans; pollutants;     Show all 3 Subjects
Abstract:
... The concentrations of a pollutant in people or in the environment are often changing as a function of time. In many cases, this rate of change may be relatively constant as a function of time; thus, first-order kinetics can be applied to these data. In other cases, the rate at which the concentrations of a pollutant are changing may be different before and after some event, for example before and ...
DOI:
10.1016/j.scitotenv.2019.01.353

2. Features of residential energy consumption: Evidence from France using an innovative multilevel modelling approach

Author:
Belaïd, Fateh; Roubaud, David; Galariotis, Emilios
Source:
Energy policy 2019 v.125 pp. 277-285
ISSN:
0301-4215
Subject:
regression analysis,   etc   ; econometrics; energy; models; risk; France;     Show all 6 Subjects
Abstract:
... Recent efforts to reduce residential energy consumption have renewed interest in investigating salient drivers of household energy use. This article contributes to the ongoing literature by developing a model for examining geographic effects on energy use. Using a new, rich, micro-level survey that compiles information about dwelling attributes, occupant characteristics, and behaviors, we suggest ...
DOI:
10.1016/j.enpol.2018.11.007

3. Investigating the trend of average changes of annual temperatures in Iran

Author:
Mahmoudi, P.; Mohammadi, M.; Daneshmand, H.
Source:
International journal of environmental science and technology 2019 v.16 no.2 pp. 1079-1092
ISSN:
1735-1472
Subject:
regression analysis,   etc   ; climate; models; temperature; Iran;     Show all 5 Subjects
Abstract:
... Temperature is one of the key elements of climate formation and its changes can alter the climate structure of each region. To study the trend of temperature changes in Iran, the data from the three variables of average minimum temperature, average maximum temperature and average annual temperature of 43 synoptic stations were obtained from the Iranian Meteorological Organization for a 48-year sta ...
DOI:
10.1007/s13762-018-1664-4

4. Normalizing shadows in multi-temporal aerial frame imagery using relative radiometric adjustments to support near-real-time change detection

Author:
Storey, Emanuel Arnal; Stow, Douglas Alan; Plummer, Matthew James
Source:
GIScience & remote sensing 2019 v.56 no.1 pp. 22-42
ISSN:
1943-7226
Subject:
regression analysis,   etc   ; radiometry; reflectance; remote sensing; variance;     Show all 5 Subjects
Abstract:
... This study addresses the problem of shadows in multi-temporal imagery, which is a key issue with change detection approaches based on image comparison. We apply image-to-image radiometric normalizations including histogram matching (HM), mean-variance (MV) equalization, linear regression based on pseudo-invariant features (PIF-LR), and radiometric control sets (RCS) representing high- and low-refl ...
DOI:
10.1080/15481603.2018.1489446

5. Correction to: Estimation of rainfall intensity–duration–frequency curves at ungauged locations using quantile regression methods

Author:
Ouali, D.; Cannon, A. J.
Source:
Stochastic environmental research and risk assessment 2018 v.32 no.10 pp. 2837
ISSN:
1436-3240
Subject:
regression analysis,   etc   ; Internet; rain;     Show all 3 Subjects
Abstract:
... The article Estimation of rainfall intensity–duration–frequency curves at ungauged locations using quantile regression methods, written by D. Ouali, A. J. Cannon, was originally published electronically on the publisher’s internet portal (currently SpringerLink) on 28 May, 2018 without open access. ...
DOI:
10.1007/s00477-018-1598-x

6. A semiparametric likelihood‐based method for regression analysis of mixed panel‐count data

Author:
Zhu, Liang; Zhang, Ying; Li, Yimei; Sun, Jianguo; Robison, Leslie L.
Source:
Biometrics 2018 v.74 no.2 pp. 488-497
ISSN:
0006-341X
Subject:
regression analysis,   etc   ; biometry; childhood;     Show all 3 Subjects
Abstract:
... Panel‐count data arise when each study subject is observed only at discrete time points in a recurrent event study, and only the numbers of the event of interest between observation time points are recorded (Sun and Zhao, 2013). However, sometimes the exact number of events between some observation times is unknown and what we know is only whether the event of interest has occurred. In this articl ...
DOI:
10.1111/biom.12774

7. Probiotic use is common in constipation, but only a minority of general and specialist doctors recommend them and consider there to be an evidence base

Author:
Dimidi, Eirini; Cox, Camilla; Scott, Stephen Mark; Whelan, Kevin
Source:
Nutrition 2019 v.61 pp. 157-163
ISSN:
0899-9007
Subject:
regression analysis,   etc   ; constipation; general practitioners; odds ratio; probiotics; surveys;     Show all 6 Subjects
Abstract:
... This study aimed to assess the use and perceived effectiveness of probiotics by the general population (with or without self-reported constipation), and their recommendation and perceived effectiveness by general practitioners (GPs) and gastroenterology specialists.A cross-sectional, primarily online, survey was undertaken. Responses were compared between groups using χ2 tests, and logistic regres ...
DOI:
10.1016/j.nut.2018.11.013

8. The impact of industrial structure efficiency on provincial industrial energy efficiency in China

Author:
Xiong, Siqin; Ma, Xiaoming; Ji, Junping
Source:
Journal of cleaner production 2019 v.215 pp. 952-962
ISSN:
0959-6526
Subject:
regression analysis,   etc   ; energy efficiency; issues and policy; models; China;     Show all 5 Subjects
Abstract:
... Regional disparity in terms of industrial energy efficiency is noticeable in China due to the unbalanced economic progress in past decades. Analyzing the provincial industrial energy efficiency and its influencing factors is of great significance to formulate differentiated policies. To date, the influence of many social-economic factors on the industrial energy efficiency have been examined but t ...
DOI:
10.1016/j.jclepro.2019.01.095

9. Food neophobia and the Five Factor Model of personality

Author:
Nezlek, John B.; Forestell, Catherine A.
Source:
Food quality and preference 2019 v.73 pp. 210-214
ISSN:
0950-3293
Subject:
regression analysis,   etc   ; college students; eating disorders; factor analysis; models; personality;     Show all 6 Subjects
Abstract:
... Although food neophobia is a widely researched individual difference, little is known about relationships between food neophobia and personality. Participants in the present study (716 undergraduates) completed measures of the Five Factor Model of personality and food neophobia. A factor analysis suggested that food neophobia consisted of two factors, which we labeled as approach and avoidance fac ...
DOI:
10.1016/j.foodqual.2018.11.007

10. Correlating variability of modeling parameters with photovoltaic performance: Monte Carlo simulation of a meso-structured perovskite solar cell

Author:
Xue, Hansong; Birgersson, Erik; Stangl, Rolf
Source:
Applied energy 2019 v.237 pp. 131-144
ISSN:
0306-2619
Subject:
regression analysis,   etc   ; Monte Carlo method; geometry; mechanistic models; solar cells;     Show all 5 Subjects
Abstract:
... The photovoltaic performance of a perovskite solar cell is evaluated as a function of its material properties, device geometry, and operating conditions. We conduct a Monte Carlo simulation based on a mechanistic model for meso-structured perovskite solar cell to correlate the device performance with the variability of input modeling parameters. The presented sensitivity analysis is statistically ...
DOI:
10.1016/j.apenergy.2018.12.066

11. Diffuse reflectance spectroscopy to quantify the met-myoglobin proportion and meat oxygenation inside of pork and beef

Author:
Nguyen, Thien; Kim, Sungchul; Kim, Jae Gwan
Source:
Food chemistry 2019 v.275 pp. 369-376
ISSN:
0308-8146
Subject:
regression analysis,   etc   ; algorithms; beef; myoglobin; pork; reflectance spectroscopy;     Show all 6 Subjects
Abstract:
... The potential of diffuse reflectance spectroscopy (DRS) to quantify the met-myoglobin (met-Mb) proportion and meat oxygenation inside of pork and beef was examined. First, reflection spectra were obtained from pork (n = 52) and beef (n = 43) samples under fresh and stored conditions. Second, the DRS algorithm was applied to the reflectance spectra to calculate the met-Mb proportion and oxygenation ...
DOI:
10.1016/j.foodchem.2018.09.121

12. Modelling the spatial decision making of terrorists: The discrete choice approach

Author:
Marchment, Zoe; Gill, Paul
Source:
Applied geography 2019 v.104 pp. 21-31
ISSN:
0143-6228
Subject:
regression analysis,   etc   ; data collection; decision making; military lands; models; police;     Show all 6 Subjects
Abstract:
... This is the first study to apply a discrete choice model to understand terrorist spatial decision making. The findings support the proposition that terrorists make decisions that are guided by rationality and act in a similar way to urban criminals. A conditional logistic regression ascertained which characteristics increased the likelihood that an area would be selected as a target, using a datas ...
DOI:
10.1016/j.apgeog.2019.01.009

13. Polymorphisms in gene MMP-2 modify the association of cadmium exposure with hypertension risk

Author:
Wu, Weixiang; Liu, Dayang; Jiang, Shunli; Zhang, Ke; Zhou, Hao; Lu, Qing
Source:
Environment international 2019 v.124 pp. 441-447
ISSN:
0160-4120
Subject:
regression analysis,   etc   ; alleles; cadmium; genetic polymorphism; hypertension; risk; spectrometers;     Show all 7 Subjects
Abstract:
... Cadmium exposure has been inconsistently related with hypertension. However, epidemiologic data on the genetic susceptibility to the hypertensive effect of cadmium exposure are limited.We investigated whether the associations between cadmium exposure and hypertension risk differed by genetic polymorphisms in MMPs genes.The present study of 497 hypertension cases and 497 healthy controls was conduc ...
DOI:
10.1016/j.envint.2019.01.041

14. Where does floating TDR land? An analysis of location attributes in real estate development in Taiwan

Author:
Shih, Mi; Chiang, Ying-Hui; Chang, Hsiutzu Betty
Source:
Land use policy 2019 v.82 pp. 832-840
ISSN:
0264-8377
Subject:
regression analysis,   etc   ; household income; planning; urban parks; Taiwan;     Show all 5 Subjects
Abstract:
... This article examines how the attributes of an urban location contribute to private property developers’ use of transfer of development rights (TDR) in Taiwan. We use “floating TDR” to describe a deliberate design feature of the Taiwanese program—the lack of legal requirement for planning designation of the receiving areas. The result is that planners have little control over where TDR takes place ...
DOI:
10.1016/j.landusepol.2018.12.029

15. Credit rating based real-time energy trading in microgrids

Author:
Zhang, Xiaoyan; Zhu, Shanying; He, Jianping; Yang, Bo; Guan, Xinping
Source:
Applied energy 2019 v.236 pp. 985-996
ISSN:
0306-2619
Subject:
regression analysis,   etc   ; algorithms; credit; energy; markets; mathematical models;     Show all 6 Subjects
Abstract:
... In this paper, we investigate the problem of credit rating management in energy trading among microgrids subject to transmission losses and wheeling cost. The main concern is how to constrain the default behaviors of retailers to enable all the consumers and retailers to be actively involved in the energy trading. By endowing retailers as leaders and consumers as followers, we establish a multi-le ...
DOI:
10.1016/j.apenergy.2018.12.013

16. Determinants of Visitors’ Intentions to Consume and Recommend Local Agro-Food Products

Author:
Madaleno, Ana; Eusébio, Celeste; Varum, Celeste
Source:
Journal of food products marketing 2019 v.25 no.2 pp. 159-186
ISSN:
1540-4102
Subject:
regression analysis,   etc   ; foods; motivation; personality; sustainable development; tourism; tourists; Portugal;     Show all 8 Subjects
Abstract:
... Previous research has revealed the relevance of consuming local food products in the visitor experience and in maintaining the sustainable development of tourism destinations. By reviewing the available studies in the field of tourism, attempts have been made to identify those factors influencing the consumption of local food products during a trip. However, few studies have analysed visitors’ beh ...
DOI:
10.1080/10454446.2018.1501629

17. Fostering tourism destination competitiveness in developing countries: The role of sustainability

Author:
Goffi, Gianluca; Cucculelli, Marco; Masiero, Lorenzo
Source:
Journal of cleaner production 2019 v.209 pp. 101-115
ISSN:
0959-6526
Subject:
regression analysis,   etc   ; case studies; developing countries; ecotourism; models; society; Brazil;     Show all 7 Subjects
Abstract:
... This study aims to test if sustainability influences tourism destination competitiveness in developing countries. The case study for the analysis is Brazil, where the enormous and unexploited potential for tourism makes sustainability a central issue in tourism development. Empirical results show that sustainability factors are positively associated with competitiveness indicators used as dependen ...
DOI:
10.1016/j.jclepro.2018.10.208

18. Groundwater potential mapping using a novel data-mining ensemble model

Author:
Kordestani, Mojtaba Dolat; Naghibi, Seyed Amir; Hashemi, Hossein; Ahmadi, Kourosh; Kalantar, Bahareh; Pradhan, Biswajeet
Source:
Hydrogeology journal 2019 v.27 no.1 pp. 211-224
ISSN:
1431-2174
Subject:
regression analysis,   etc   ; algorithms; aquifers; freshwater; groundwater; models; poverty; spring; Iran;     Show all 9 Subjects
Abstract:
... Freshwater scarcity is an ever-increasing problem throughout the arid and semi-arid countries, and it often results in poverty. Thus, it is necessary to enhance understanding of freshwater resources availability, particularly for groundwater, and to be able to implement functional water resources plans. This study introduces a novel statistical approach combined with a data-mining ensemble model, ...
DOI:
10.1007/s10040-018-1848-5

19. Residual bootstrap tests in linear models with many regressors

Author:
Richard, Patrick
Source:
Journal of econometrics 2019 v.208 no.2 pp. 367-394
ISSN:
0304-4076
Subject:
regression analysis,   etc   ; econometric models; economic analysis; economic theory; linear models;     Show all 5 Subjects
Abstract:
... This paper is concerned with bootstrap hypothesis testing in linear regression models with many regressors. I show that bootstrap F, LR and LM tests are asymptotically valid even when the numbers of estimated parameters and tested restrictions are not asymptotically negligible fractions of the sample size. One of the conditions for these results is that the regressors come from an asymptotically b ...
DOI:
10.1016/j.jeconom.2018.10.002

20. Upper and Lower Bound Interval Forecasting Methodology Based on Ideal Boundary and Multiple Linear Regression Models

Author:
Li, Wei; Zhou, Jianzhong; Chen, Lu; Feng, Kuaile; Zhang, Hairong; Meng, Changqing; Sun, Na
Source:
Water resources management 2019 v.33 no.3 pp. 1203-1215
ISSN:
0920-4741
Subject:
regression analysis,   etc   ; algorithms; experts; models; prediction; runoff; uncertainty; Yangtze River;     Show all 8 Subjects
Abstract:
... The uncertainty research of hydrological forecast attracts the attention of a host of hydrological experts. Prediction Interval (PI) is a convinced method that can ensure the forecasting accuracy meanwhile take uncertainty range into consideration. While the existed Prediction Interval methods need algorithm optimization and are susceptible to local optima, so it is particularly urgent to provide ...
DOI:
10.1007/s11269-018-2177-0