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You searched for: Subject "Monte Carlo method" Remove constraint Subject: "Monte Carlo method"
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1. Optimal allocation of tomato supply to minimize greenhouse gas emissions in major U.S. metropolitan markets

Author:
Eric Bell; Yuwei Qin; Arpad Horvath
Source:
Resources, conservation, and recycling 2023 v.188 pp. 106660
ISSN:
0921-3449
Subject:
Monte Carlo method,   etc   ; algorithms; climate; greenhouse gases; soil; tomatoes;     Show all 6 Subjects
Abstract:
... Our food system is very resource and emissions intensive and contributes to a broad range of environmental impacts. We have developed cradle-to-market greenhouse gas emissions estimates of supplying fresh tomatoes to 10 of the largest metropolitan areas in the United States and applied a linear optimization algorithm to determine the optimal tomato distribution scheme that will minimize tomato-rel ...
DOI:
10.1016/j.resconrec.2022.106660

2. The circular quantile residual

Author:
Ana C.C. Andrade; Gustavo H.A. Pereira; Rinaldo Artes
Source:
Computational statistics & data analysis 2023 v.178 pp. 107612
ISSN:
0167-9473
Subject:
Monte Carlo method,   etc   ; data analysis; medicine; meteorology; normal distribution; regression analysis;     Show all 6 Subjects
Abstract:
... Circular-linear regression is often used to model the relationship between a circular dependent variable and a set of linear predictor variables. It is used in many areas such as meteorology, biology, and medicine. For checking model adequacy, it is desirable to use residuals that are approximately standard normally distributed. Most of the residuals used in circular regression models do not meet ...
DOI:
10.1016/j.csda.2022.107612

3. Synthesis of hierarchical porous carbon with high surface area by chemical activation of (NH4)2C2O4 modified hydrochar for chlorobenzene adsorption

Author:
Jie Wen; Zewei Liu; Hongxia Xi; Bichun Huang
Source:
Journal of environmental sciences (China) 2023 v.126 pp. 123-137
ISSN:
1001-0742
Subject:
Monte Carlo method,   etc   ; X-ray diffraction; X-ray photoelectron spectroscopy; adsorption; carbon; chlorobenzene; desorption; hydrochars; micropores; models; surface area; tobacco; China;     Show all 13 Subjects
Abstract:
... In this work, hydrothermal technique combined with KOH activation were employed to develop a series of porous carbons (NPCK-x) using tobacco stem as a low-cost carbon source and (NH₄)₂C₂O₄ as a novel nitrogen-doping agent. Physicochemical properties of NPCK-x were characterized by Brunauer-Emmett-Teller, field emission scanning electron microscopy, X-ray diffraction, Raman microscope, elemental an ...
DOI:
10.1016/j.jes.2022.04.011

4. Heavy metals in daily meals and food ingredients in the Yangtze River Delta and their probabilistic health risk assessment

Author:
Jialu Jin; Xiuge Zhao; Lei Zhang; Yaru Hu; Jianfeng Zhao; Junjie Tian; Jing Ren; Kuangfei Lin; Changzheng Cui
Source:
Science of the total environment 2023 v.854 pp. 158713
ISSN:
0048-9697
Subject:
Monte Carlo method,   etc   ; environment; food composition; food consumption; food intake; food safety; health effects assessments; heavy metals; human health; ingestion; risk; river deltas; seafoods; shellfish; Yangtze River;     Show all 15 Subjects
Abstract:
... Heavy metal exposure via food consumption is inadequately investigated and deserves considerable attention. We collected hundreds of food ingredients and daily meals and assessed their probabilistic health risk using a Monte Carlo simulation based on an ingestion rate investigation. The detected concentrations of four heavy metals (Cr, Cd, Pb, and Hg) in all daily meal samples were within the limi ...
DOI:
10.1016/j.scitotenv.2022.158713

5. Non-carcinogenic risk assessment of cadmium and lead in raw milk from dairy production farms in Iran, using Monte Carlo simulation approach

Author:
Neematollah Jaafarzadeh; Kamran Tari; Mohammad Reza Samarghandi; Masoud Panahi Fard; Sahand Jorfi; Rozhan Feizi; Maryam Mehrbakhsh
Source:
Journal of food composition and analysis 2023 v.115 pp. 104864
ISSN:
0889-1575
Subject:
Monte Carlo method,   etc   ; body weight; cadmium; carcinogenicity; exposure assessment; food composition; health effects assessments; heavy metals; lead; milk; milk consumption; milk production; raw milk; risk; spectroscopy; Iran;     Show all 16 Subjects
Abstract:
... This study evaluated toxic metal concentration in raw milk and related potential health risks. 100 raw milk samples and 30 water samples consumed by cows were gathered from 10 dairy farms in Behbahan county, and Pb and Cd were analyzed by Inductively Coupled Plasma - Optical Emission Spectrometry (ICP-OES). In raw milk samples, mean Pb and Cd levels were 0.55 ± 0.09 and 0.0031 ± 0.0004 mg/l, respe ...
DOI:
10.1016/j.jfca.2022.104864

6. Transformed regression-based long-horizon predictability tests

Author:
Matei Demetrescu; Paulo M.M. Rodrigues; A.M. Robert Taylor
Source:
Journal of econometrics 2022 pp. -
ISSN:
0304-4076
Subject:
Monte Carlo method,   etc   ; heteroskedasticity; inflation;     Show all 3 Subjects
Abstract:
... We propose new tests for long-horizon predictability based on IVX estimation of a transformed regression which explicitly accounts for the over-lapping nature of the dependent variable in the long-horizon regression arising from temporal aggregation. To improve efficiency, we moreover incorporate the residual augmentation approach recently used in the context of short-horizon predictability testin ...
DOI:
10.1016/j.jeconom.2022.06.006

7. Parameterless detection of liquid–liquid interfaces with sub-micron resolution in single-molecule localization microscopy

Author:
Dingeman L.H. van der Haven; Roderick Prudent Tas; Pim van der Hoorn; Remco van der Hofstad; Ilja Karina Voets
Source:
Journal of colloid and interface science 2022 v.620 pp. 356-364
ISSN:
0021-9797
Subject:
Monte Carlo method,   etc   ; microscopy; oils;     Show all 3 Subjects
Abstract:
... Knowing the exact location of soft interfaces, such as between water and oil, is essential to the study of nanoscale wetting phenomena. Recently, iPAINT was used to visualize soft interfaces in situ with minimal invasiveness, but computing the exact location of the interface remains challenging. We propose a new method to determine the interface with high accuracy. By modelling the localizations a ...
DOI:
10.1016/j.jcis.2022.03.116

8. Group fused Lasso for large factor models with multiple structural breaks

Author:
Chenchen Ma; Yundong Tu
Source:
Journal of econometrics 2022 pp. -
ISSN:
0304-4076
Subject:
Monte Carlo method,   etc   ; econometrics; journals; models;     Show all 4 Subjects
Abstract:
... This paper reformulates the identification of multiple structural breaks in factor loadings as a problem of detecting structural breaks in a factor regression, where the estimated pseudo factor corresponding to the largest eigenvalue is regressed on the remaining estimated factors. As a result, a group fused Lasso based estimation procedure is proposed to identify the break dates. Our procedure is ...
DOI:
10.1016/j.jeconom.2022.02.003

9. Uncertainty of measurement of ionic calcium in milk measured by ISE: a Monte-Carlo insight

Author:
Mykola V. Ishchenko; Vira M. Ishchenko; Nadiya P. Kvitkovska; Oksana V. Kochubei-Litvinenko
Source:
Analytical methods 2022 v.14 no.9 pp. 949-956
ISSN:
1759-9679
Subject:
Monte Carlo method,   etc   ; calcium; milk; uncertainty;     Show all 4 Subjects
Abstract:
... Practically almost all technological processes that affect the milk influence the content of ionic calcium present in it. The most popular method to determine ionic calcium is direct potentiometry using ion-selective electrodes (ISEs). This study proposes an approach to evaluate the measurement uncertainty for the determination of ionic calcium by the ISE method based on JCGM 100 – evaluation of m ...
DOI:
10.1039/d1ay01969d

10. Quantile unit root inference for panel data with common shocks

Author:
Jisheng Yang; Jinbao Wei; Biqing Cai
Source:
Economics letters 2022 v.219 pp. 110809
ISSN:
0165-1765
Subject:
Monte Carlo method,   etc   ; economics; mathematical theory;     Show all 3 Subjects
Abstract:
... This paper proposes new quantile unit root tests for panel data with common shocks, whose critical values can be simulated based on our asymptotic theory. The Monte Carlo simulation results indicate that our tests perform well in finite sample. An application for real effective exchange rates (REERs) suggests that the Purchasing Power Parity (PPP) hypothesis holds for higher quantiles but does not ...
DOI:
10.1016/j.econlet.2022.110809

11. A general Monte Carlo method for multivariate goodness–of–fit testing applied to elliptical families

Author:
Feifei Chen; M. Dolores Jiménez–Gamero; Simos Meintanis; Lixing Zhu
Source:
Computational statistics & data analysis 2022 v.175 pp. 107548
ISSN:
0167-9473
Subject:
Monte Carlo method,   etc   ; data analysis; probability;     Show all 3 Subjects
Abstract:
... A general and relatively simple method for construction of multivariate goodness–of–fit tests is introduced. The proposed test is applied to elliptical distributions. The method is based on a characterization of probability distributions via their characteristic function. The consistency and other limit properties of the new test statistics are studied. Also in a simulation study the proposed test ...
DOI:
10.1016/j.csda.2022.107548

12. Bootstrap specification tests for dynamic conditional distribution models

Author:
Indeewara Perera; Mervyn J. Silvapulle
Source:
Journal of econometrics 2022 pp. -
ISSN:
0304-4076
Subject:
Monte Carlo method,   etc   ; econometrics; time series analysis;     Show all 3 Subjects
Abstract:
... This paper proposes bootstrap based tests for the specification of a given parametric conditional distribution in autoregressive time series with GARCH-type disturbances. The tests are based on an estimated residual empirical process and are implemented by parametric bootstrap. We show that the proposed tests are asymptotically valid, consistent, and have nontrivial asymptotic power against a larg ...
DOI:
10.1016/j.jeconom.2022.08.006

13. Development and validation of statistically sound criteria for the match of unweathered GC-MS fingerprints in oil spill forensics

Author:
Ana Catarina Rocha; Carla Palma; Ricardo J.N. Bettencourt da Silva
Source:
Chemosphere 2022 v.289 pp. 133085
ISSN:
0045-6535
Subject:
Monte Carlo method,   etc   ; oil spills; oils; probability;     Show all 4 Subjects
Abstract:
... The investigation of an oil spill's origin frequently relies on determining the equivalence of oil component patterns in samples from the contaminated environment and suspected oil source. This comparison benefits if based on the ratio of the abundance of unweathered characteristic components of the oil product, Diagnostic Ratios, DR. Replicate determinations of DR from one sample are used to set ...
DOI:
10.1016/j.chemosphere.2021.133085

14. Reconstruction-based Monte Carlo method for accurate and efficient breakage simulation

Author:
Yongjie Chen; Jue Ding; Xi Xia; Peifen Weng
Source:
Powder technology 2022 v.401 pp. 117318
ISSN:
0032-5910
Subject:
Monte Carlo method,   etc   ; particle size distribution; technology;     Show all 3 Subjects
Abstract:
... Monte Carlo (MC) methods have been proven effective in population balance modeling; yet, in dealing with particle breakage problems, their performances in terms of statistical noise and computational efficiency still demand further improvement. In this work, we propose a time-driven MC method based on weighted particles that are reconstructed periodically by matching the shape of the number densit ...
DOI:
10.1016/j.powtec.2022.117318

15. Sampling properties of the Bayesian posterior mean with an application to WALS estimation

Author:
Giuseppe De Luca; Jan R. Magnus; Franco Peracchi
Source:
Journal of econometrics 2022 v.230 no.2 pp. 299-317
ISSN:
0304-4076
Subject:
Monte Carlo method,   etc   ; Bayesian theory; crime; variance;     Show all 4 Subjects
Abstract:
... Many statistical and econometric learning methods rely on Bayesian ideas. When applied in a frequentist setting, their precision is often assessed using the posterior variance. This is permissible asymptotically, but not necessarily in finite samples. We explore this issue focusing on weighted-average least squares (WALS), a Bayesian-frequentist ‘fusion’. Exploiting the sampling properties of the ...
DOI:
10.1016/j.jeconom.2021.04.008

16. Trajectory Optimization of Autonomous Surface Vehicles with Outliers for Underwater Target Localization

Author:
Xiaojun Mei; Dezhi Han; Nasir Saeed; Huafeng Wu; Chin-Chen Chang; Bin Han; Teng Ma; Jiangfeng Xian
Source:
Remote Sensing 2022 v.14 no.17 pp. -
ISSN:
2072-4292
Subject:
Monte Carlo method,   etc   ; geometry; models; signal strength;     Show all 4 Subjects
Abstract:
... Location awareness is crucial for underwater applications; without it, gathered data would be essentially useless. However, it is impossible to directly determine the location of an underwater target because GPS-reliant methods cannot be utilized in the underwater environment. To this end, the underwater target localization technique has become one of the most critical technologies in underwater a ...
DOI:
10.3390/rs14174343

17. Extensions to IVX methods of inference for return predictability

Author:
Matei Demetrescu; Iliyan Georgiev; Paulo M.M. Rodrigues; A.M. Robert Taylor
Source:
Journal of econometrics 2022 pp. -
ISSN:
0304-4076
Subject:
Monte Carlo method,   etc   ; econometrics; exhibitions; journals; sampling;     Show all 5 Subjects
Abstract:
... The contribution of this paper is threefold. First, we demonstrate that, provided either a suitable bootstrap implementation is employed or heteroskedasticity-consistent standard errors are used, the IVX-based predictability tests of Kostakis et al. (2015) retain asymptotically valid inference under the null hypothesis under considerably weaker assumptions on the innovations than are required by K ...
DOI:
10.1016/j.jeconom.2022.02.007

18. Characterization of tire and road wear microplastic particle contamination in a road tunnel: From surface to release

Author:
Elisabeth S. Rødland; Ole Christian Lind; Malcolm Reid; Lene S. Heier; Emelie Skogsberg; Brynhild Snilsberg; Dagfin Gryteselv; Sondre Meland
Source:
Journal of hazardous materials 2022 v.435 pp. 129032
ISSN:
0304-3894
Subject:
Monte Carlo method,   etc   ; bitumen; microplastics; pollution; rubber; runoff;     Show all 6 Subjects
Abstract:
... Road pollution is one of the major sources of microplastic particles to the environment. The distribution of tire, polymer-modified bitumen (PMB) and tire and road wear particles (TRWP) in different tunnel compartments were explored: road surface, gully-pots and tunnel wash water. A new method for calculating TRWP using Monte Carlo simulation is presented. The highest concentrations on the surface ...
DOI:
10.1016/j.jhazmat.2022.129032

19. Residual-augmented IVX predictive regression

Author:
Matei Demetrescu; Paulo M.M. Rodrigues
Source:
Journal of econometrics 2022 v.227 no.2 pp. 429-460
ISSN:
0304-4076
Subject:
Monte Carlo method,   etc   ; developed countries; econometrics; journals; testing;     Show all 5 Subjects
Abstract:
... Bias correction in predictive regressions is known to reduce the empirical size problems of OLS-based predictability tests with persistent predictors. This paper shows that bias correction is also achieved in the context of the extended instrumental variable (IVX) predictability testing framework introduced by Kostakis et al. (2015). To be specific, new IVX-based statistics subject to a bias corre ...
DOI:
10.1016/j.jeconom.2020.11.007

20. The study of slag particle deposition process based on Monte Carlo simulation

Author:
Kuo Lin; Zhongjie Shen; Qinfeng Liang; Jianliang Xu; Haifeng Liu
Source:
Powder technology 2022 v.407 pp. 117630
ISSN:
0032-5910
Subject:
Monte Carlo method,   etc   ; probability; roughness; slags; technology; temperature;     Show all 6 Subjects
Abstract:
... The microscopic characteristics of particle deposition are critically important for the study of slag flow, particularly for semi-viscous particles. In this study, based on the disordered motion of particle deposition, a Monte Carlo (MC) simulation method was adopted to study the deposition, attachment and rebound process of particles. Considering the characteristics of the partial melting of semi ...
DOI:
10.1016/j.powtec.2022.117630