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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. The correlation between regression coefficients: combined significance testing for calibration and quantitation of bias

Author:
Analytical Methods Committee AMCTB No 87,
Source:
Analytical methods 2019 v.11 no.14 pp. 1845-1848
ISSN:
1759-9679
Subject:
regression analysis,   etc   ; analytical methods; calibration;     Show all 3 Subjects
Abstract:
... In the analytical sciences regression methods have two main uses – in calibrations in instrumental analysis, and in testing for bias in method comparison studies. In first order (straight line) regression the true values of the intercept α and the slope β are independent of each other but their estimated values  and  are not independent. This can be appreciated visually by considering the straig ...
DOI:
10.1039/c9ay90041a

3. Characterization of c‐, L‐ and ϕk‐optimal designs for a class of non‐linear multiple‐regression models

Author:
Schmidt, Dennis
Source:
Journal of the Royal Statistical Society 2019 v.81 no.1 pp. 101-120
ISSN:
1369-7412
Subject:
regression analysis,   etc   ; equations; nonlinear models;     Show all 3 Subjects
Abstract:
... Optimal designs for multiple‐regression models are determined. We consider a general class of non‐linear models including proportional hazards models with different censoring schemes, the Poisson and the negative binomial model. For these models we provide a complete characterization of c‐optimal designs for all vectors c in the case of a single covariate. For multiple regression with an arbitrary ...
DOI:
10.1111/rssb.12292

4. Three-dimensional analysis of the initial stage of convective precipitation using an operational X-band polarimetric radar network

Author:
Kim, Yura; Maki, Masayuki; Lee, Dong-In; Jeong, Jong-Hoon; You, Cheol-Hwan
Source:
Atmospheric research 2019 v.225 pp. 45-57
ISSN:
0169-8095
Subject:
regression analysis,   etc   ; advection; algorithms; polarimetry; radar; Japan;     Show all 6 Subjects
Abstract:
... In this study, we propose a new methodology for analysis of the initial stage of localized convective precipitation. The developed algorithm was used to create three-dimensional constant-altitude plan-position-indicator (3D CAPPI) data, which are high-spatiotemporal-resolution volumetric data, using two X-band polarimetric radars that are located in the Kanto region of Japan. Advection vectors are ...
DOI:
10.1016/j.atmosres.2019.03.015

5. Impact of green control techniques on family farms' welfare

Author:
Gao, Yang; Niu, Ziheng; Yang, Haoran; Yu, Lili
Source:
Ecological economics 2019 v.161 pp. 91-99
ISSN:
0921-8009
Subject:
regression analysis,   etc   ; family farms; models; surveys;     Show all 4 Subjects
Abstract:
... Using survey data of 375 family farms in five provinces of the Huang-Huai-Hai Plain, this paper conducts a comprehensive measurement of family farms' welfare within the framework of the capability approach theory. Furthermore, using an endogenous switching regression model and a multinomial treatment effects model, this paper evaluates the impact of the adoption or non-adoption of green control te ...
DOI:
10.1016/j.ecolecon.2019.03.015

6. Time of day effects of temperature and daylight on short term electricity load

Author:
Moral-Carcedo, Julián; Pérez-García, Julián
Source:
Energy 2019 v.174 pp. 169-183
ISSN:
0360-5442
Subject:
regression analysis,   etc   ; electricity; models; solar radiation; temperature;     Show all 5 Subjects
Abstract:
... This paper proposes a model for short-term electricity load with differentiated temperature and daylight effects by time of day, which are determined by variations in intraday economic activity. The relationship between electricity load and economic activity implies that the electricity demand response to changes in exogenous variables like temperature is non-linear as well as non-homogeneous alon ...
DOI:
10.1016/j.energy.2019.02.158

7. Skeletal age-at-death estimation: Bayesian versus regression methods

Author:
Nikita, Efthymia; Nikitas, Panos
Source:
Forensic science international 2019 v.297 pp. 56-64
ISSN:
0379-0738
Subject:
regression analysis,   etc   ; Bayesian theory; linear models; prediction;     Show all 4 Subjects
Abstract:
... Age-at-death estimation in a skeletal assemblage (target sample) is biased by the demographic profile of the material used for age prediction (training sample) when this profile is different from that of the target sample. This bias is minimized if the demographic profile of the target sample is properly taken into account in the method developed for age-at-death estimation. In the Bayesian approa ...
DOI:
10.1016/j.forsciint.2019.01.033

8. High-Precision Measurements of the Isotopic Composition of Common Lead Using MC-ICPMS: Comparison of Calibration Strategies Based on Full Gravimetric Isotope Mixture and Regression Models

Author:
Tong, Shuoyun; Meija, Juris; Zhou, Lian; Methven, Brad; Mester, Zoltán; Yang, Lu
Source:
Analytical chemistry 2019 v.91 no.6 pp. 4164-4171
ISSN:
1520-6882
Subject:
regression analysis,   etc   ; calibration; isotopes; lead; thallium;     Show all 5 Subjects
Abstract:
... The determination of isotope ratios of lead finds many important applications in earth and planetary sciences. In this study, we report the first independent and fully calibrated absolute isotope ratio measurements of a common lead since the seminal work by the NIST in the 1960s, which has provided the widely used standards SRM 981 and SRM 982. This work employs MC-ICPMS for the absolute isotope r ...
DOI:
10.1021/acs.analchem.9b00020

9. MJO evolution and predictability disclosed by the RMM variant with balanced MJO variance in convection and zonal winds

Author:
Liu, Ping
Source:
Climate dynamics 2019 v.52 no.5-6 pp. 2529-2543
ISSN:
0930-7575
Subject:
regression analysis,   etc   ; climate; convection; prediction; variance; wind;     Show all 6 Subjects
Abstract:
... The all-season real-time multivariate MJO (RMM) index was designed for an equal contribution of variance from the raw anomalous OLR and zonal winds at 850 (U850) and 200 hPa (U200), whereas it represents a notably larger proportion of the MJO variance in U850 and U200 than in OLR such that the index appears more dynamical and overestimates the MJO predictability and prediction skills. The revised ...
DOI:
10.1007/s00382-018-4274-4

10. Application study of monthly precipitation forecast in Northeast China based on the cold vortex persistence activity index

Author:
Gang, Liu; Meihui, Qu; Guolin, Feng; Qucheng, Chu; Jing, Cao; Jie, Yang; Ling, Cao; Yao, Feng
Source:
Theoretical and applied climatology 2019 v.135 no.3-4 pp. 1079-1090
ISSN:
0177-798X
Subject:
regression analysis,   etc   ; atmospheric precipitation; cold; winter; China;     Show all 5 Subjects
Abstract:
... This paper introduces three quantitative indicators to conduct research for characterizing Northeast China cold vortex persistence activity: cold vortex persistence, generalized “cold vortex,” and cold vortex precipitation. As discussed in the first part of paper, a hindcast is performed by multiple regressions using Northeast China precipitation from 2012 to 2014 combination with the previous win ...
DOI:
10.1007/s00704-018-2399-3

11. 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

12. 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

13. Comparison of upscaling cropland and non-cropland map using uncertainty weighted majority rule-based and the majority rule-based aggregation methods

Author:
Sun, Peijun; Pan, Yaozhong; Zhang, Jinshui
Source:
Geocarto international 2019 v.34 no.2 pp. 149-163
ISSN:
1752-0762
Subject:
regression analysis,   etc   ; cropland; land cover; landscapes; uncertainty;     Show all 5 Subjects
Abstract:
... Aggregation method is seriously impacted by the landscape characteristics, which has been emphasized due to proportional errors. This research proposed an uncertainty weighted majority rule-based aggregation method (UWMRB) to upscale the cropland/non-cropland map. The Cropland Data Layer for 2016 at 30m resolution, with its corresponding confidence level data, were collected to conduct the experim ...
DOI:
10.1080/10106049.2017.1377773

14. 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

15. Airline environmental efficiency measures considering materials balance principles: an application of a network range-adjusted measure with weak-G disposability

Author:
Cui, Qiang; Li, Ye
Source:
Journal of environmental planning and management 2018 v.61 no.13 pp. 2298-2318
ISSN:
1360-0559
Subject:
regression analysis,   etc   ; aircraft; models;     Show all 3 Subjects
Abstract:
... In this paper, we focus on assessing airline environmental efficiency with network structure and build a three-stage efficiency production process. Then, we propose a new model, network range-adjusted measure with weak-G disposability, to measure the environmental efficiency of 29 global airlines based on the data from 2008 to 2015. Finally, a second-stage regression analysis is done to explore th ...
DOI:
10.1080/09640568.2017.1393401

16. 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

17. 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

18. Emotions elicited while drinking coffee: A cross-cultural comparison between Korean and Chinese consumers

Author:
Hu, Xiaojia; Lee, Jeehyun
Source:
Food quality and preference 2019 v.76 pp. 160-168
ISSN:
0950-3293
Subject:
regression analysis,   etc   ; coffee (beverage); cross cultural studies; emotions;     Show all 4 Subjects
Abstract:
... Consumers assess products not only based on their physical aspects but also on their emotion-evoking components. Many methods, such as EsSense Profile®, GEOS, and ScentMove, have been developed for evaluating various kinds of products. Research has suggested the need for developing a specialized lexicon for specific food or beverage categories. The English emotion lexicon, the Coffee Drinking Expe ...
DOI:
10.1016/j.foodqual.2018.08.020

19. A paradox of embedded agency: Sustainable investors boundary bridging to emerging fields

Author:
de Lange, Deborah E.
Source:
Journal of cleaner production 2019 v.226 pp. 50-63
ISSN:
0959-6526
Subject:
regression analysis,   etc   ; entrepreneurship; industry; information technology; investment policy; lead; motivation;     Show all 7 Subjects
Abstract:
... This study provides additional insight into the paradox of embedded agency through an examination of investors' interests in sustainable business. According to the paradox, although actors are embedded in institutional fields, they may become agents of change. This research adds to existing literature by examining how varying degrees of embeddedness may affect change behaviors. In addition, this r ...
DOI:
10.1016/j.jclepro.2019.04.007

20. A general-applicable model for estimating the binding coefficient of organic pollutants with dissolved organic matter

Author:
Li, Yi-Long; He, Wei; Wu, Rui-Lin; Xing, Baoshan; Xu, Fu-Liu
Source:
The Science of the total environment 2019 v.670 pp. 226-235
ISSN:
0048-9697
Subject:
regression analysis,   etc   ; aquatic environment; dissolved organic matter; models; phenols; pollutants;     Show all 6 Subjects
Abstract:
... The binding constant (Kdoc) of organic pollutants (OPs) with dissolved organic matter (DOM) is an important parameter in determining the partitioning of OPs in the aquatic environment. Most estimation models have focused on calculating the Kdoc of a specific group of OPs but failed to obtain Kdoc values of different OPs effectively over the last three decades. In this study, we attempted to build ...
DOI:
10.1016/j.scitotenv.2019.03.146