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Hierarchical change-point regression models including random effects to estimate empirical critical loads for nitrogen using Bayesian Regression Models (brms) and JAGS
Hierarchical change-point regression models including random effects to estimate empirical critical loads for nitrogen using Bayesian Regression Models (brms) and JAGS
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Hierarchical change-point regression models including random effects to estimate empirical critical loads for nitrogen using Bayesian Regression Models (brms) and JAGS

MethodsX, 2022-01, Vol.9, p.101902-101902, Article 101902 [Peer Reviewed Journal]

2022 ;2022 The Authors. Published by Elsevier B.V. 2022 ;ISSN: 2215-0161 ;EISSN: 2215-0161 ;DOI: 10.1016/j.mex.2022.101902

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2
The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily
The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily
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The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily

Sustainability, 2020-11, Vol.12 (21), p.8829 [Peer Reviewed Journal]

2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2071-1050 ;EISSN: 2071-1050 ;DOI: 10.3390/su12218829

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3
Estimation of Regression Function in Multi-Response Nonparametric Regression Model Using Smoothing Spline and Kernel Estimators
Estimation of Regression Function in Multi-Response Nonparametric Regression Model Using Smoothing Spline and Kernel Estimators
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Estimation of Regression Function in Multi-Response Nonparametric Regression Model Using Smoothing Spline and Kernel Estimators

Journal of physics. Conference series, 2018-09, Vol.1097 (1), p.12091 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2018. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1097/1/012091

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4
Correction: Salimiyekta et al. Random Regression Model for Genetic Evaluation and Early Selection in the Iranian Holstein Population. Animals 2021, 11 , 3492
Correction: Salimiyekta et al. Random Regression Model for Genetic Evaluation and Early Selection in the Iranian Holstein Population. Animals 2021, 11 , 3492
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Correction: Salimiyekta et al. Random Regression Model for Genetic Evaluation and Early Selection in the Iranian Holstein Population. Animals 2021, 11 , 3492

Animals (Basel), 2022-05, Vol.12 (11), p.1358 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 2076-2615 ;EISSN: 2076-2615 ;DOI: 10.3390/ani12111358 ;PMID: 35681937

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5
Modeling Overdispersed Dengue Data via Poisson Inverse Gaussian Regression Model: A Case Study in the City of Campo Grande, MS, Brazil
Modeling Overdispersed Dengue Data via Poisson Inverse Gaussian Regression Model: A Case Study in the City of Campo Grande, MS, Brazil
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Modeling Overdispersed Dengue Data via Poisson Inverse Gaussian Regression Model: A Case Study in the City of Campo Grande, MS, Brazil

Entropy (Basel, Switzerland), 2022-09, Vol.24 (9), p.1256 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e24091256

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6
Selection of a regression model for graduation of measuring instruments when it is necessary to estimate stability of the calibration curve
Selection of a regression model for graduation of measuring instruments when it is necessary to estimate stability of the calibration curve
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Selection of a regression model for graduation of measuring instruments when it is necessary to estimate stability of the calibration curve

Journal of physics. Conference series, 2022-03, Vol.2192 (1), p.12006 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2192/1/012006

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7
Direct and indirect climate controls predict heterogeneous early-mid 21st century wildfire burned area across western and boreal North America
Direct and indirect climate controls predict heterogeneous early-mid 21st century wildfire burned area across western and boreal North America
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Direct and indirect climate controls predict heterogeneous early-mid 21st century wildfire burned area across western and boreal North America

PloS one, 2017-12, Vol.12 (12), p.e0188486 [Peer Reviewed Journal]

2017 Kitzberger et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 Kitzberger et al 2017 Kitzberger et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0188486 ;PMID: 29244839

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8
Risk of long COVID associated with delta versus omicron variants of SARS-CoV-2
Risk of long COVID associated with delta versus omicron variants of SARS-CoV-2
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Risk of long COVID associated with delta versus omicron variants of SARS-CoV-2

The Lancet (British edition), 2022-06, Vol.399 (10343), p.2263-2264 [Peer Reviewed Journal]

2022 Elsevier Ltd ;2022. Elsevier Ltd ;2022 Elsevier Ltd. All rights reserved. 2022 Elsevier Ltd ;ISSN: 0140-6736 ;EISSN: 1474-547X ;DOI: 10.1016/S0140-6736(22)00941-2 ;PMID: 35717982

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9
Predicting student satisfaction of emergency remote learning in higher education during COVID-19 using machine learning techniques
Predicting student satisfaction of emergency remote learning in higher education during COVID-19 using machine learning techniques
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Predicting student satisfaction of emergency remote learning in higher education during COVID-19 using machine learning techniques

PloS one, 2021-04, Vol.16 (4), p.e0249423-e0249423 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;COPYRIGHT 2021 Public Library of Science ;2021 Ho et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Ho et al 2021 Ho et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0249423 ;PMID: 33798204

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10
Regional disparities in economic resilience in the European Union across the urban-rural divide
Regional disparities in economic resilience in the European Union across the urban-rural divide
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Regional disparities in economic resilience in the European Union across the urban-rural divide

Regional studies, 2020-09, Vol.54 (9), p.1200-1213 [Peer Reviewed Journal]

2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2020 ;ISSN: 0034-3404 ;EISSN: 1360-0591 ;DOI: 10.1080/00343404.2019.1698720

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11
The multi-harmonic signal frequencies estimation in finite time
The multi-harmonic signal frequencies estimation in finite time
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The multi-harmonic signal frequencies estimation in finite time

Journal of physics. Conference series, 2021-05, Vol.1864 (1), p.12116 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1864/1/012116

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12
Assessing the adequacy of the gompertz regression model in the presence of right censored data
Assessing the adequacy of the gompertz regression model in the presence of right censored data
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Assessing the adequacy of the gompertz regression model in the presence of right censored data

Journal of physics. Conference series, 2021-07, Vol.1988 (1), p.12114 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1988/1/012114

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13
Spatial regression model of poverty in the province of North Sumatera on 2017
Spatial regression model of poverty in the province of North Sumatera on 2017
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Spatial regression model of poverty in the province of North Sumatera on 2017

Journal of physics. Conference series, 2023-01, Vol.2421 (1), p.12003 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2421/1/012003

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14
The linear regression model to evaluate material moisture using reflectometric technique
The linear regression model to evaluate material moisture using reflectometric technique
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The linear regression model to evaluate material moisture using reflectometric technique

Journal of physics. Conference series, 2023-10, Vol.2628 (1), p.12007 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2628/1/012007

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15
chngpt: threshold regression model estimation and inference
chngpt: threshold regression model estimation and inference
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chngpt: threshold regression model estimation and inference

BMC bioinformatics, 2017-10, Vol.18 (1), p.454-454, Article 454 [Peer Reviewed Journal]

COPYRIGHT 2017 BioMed Central Ltd. ;Copyright BioMed Central 2017 ;The Author(s) 2017 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-017-1863-x ;PMID: 29037149

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16
ESG and Corporate Financial Performance: Empirical Evidence from China’s Listed Power Generation Companies
ESG and Corporate Financial Performance: Empirical Evidence from China’s Listed Power Generation Companies
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ESG and Corporate Financial Performance: Empirical Evidence from China’s Listed Power Generation Companies

Sustainability, 2018-07, Vol.10 (8), p.2607 [Peer Reviewed Journal]

2018. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2071-1050 ;EISSN: 2071-1050 ;DOI: 10.3390/su10082607

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17
Investigating the Significant Individual Historical Factors of Driving Risk Using Hierarchical Clustering Analysis and Quasi-Poisson Regression Model
Investigating the Significant Individual Historical Factors of Driving Risk Using Hierarchical Clustering Analysis and Quasi-Poisson Regression Model
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Investigating the Significant Individual Historical Factors of Driving Risk Using Hierarchical Clustering Analysis and Quasi-Poisson Regression Model

Sensors (Basel, Switzerland), 2020-04, Vol.20 (8), p.2331 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20082331 ;PMID: 32325844

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18
Exploring the Impact of Digital Inclusive Finance on Agricultural Carbon Emission Performance in China
Exploring the Impact of Digital Inclusive Finance on Agricultural Carbon Emission Performance in China
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Exploring the Impact of Digital Inclusive Finance on Agricultural Carbon Emission Performance in China

International journal of environmental research and public health, 2022-09, Vol.19 (17), p.10922 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1660-4601 ;ISSN: 1661-7827 ;EISSN: 1660-4601 ;DOI: 10.3390/ijerph191710922 ;PMID: 36078643

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19
Predictive and mechanistic multivariate linear regression models for reaction development
Predictive and mechanistic multivariate linear regression models for reaction development
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Predictive and mechanistic multivariate linear regression models for reaction development

Chemical science (Cambridge), 2018-03, Vol.9 (9), p.2398-2412 [Peer Reviewed Journal]

This journal is © The Royal Society of Chemistry 2018 2018 ;ISSN: 2041-6520 ;EISSN: 2041-6539 ;DOI: 10.1039/c7sc04679k ;PMID: 29719711

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20
Correction: Hong Kong Hospital Authority resource efficiency evaluation: Via a novel DEA-Malmquist model and Tobit regression model
Correction: Hong Kong Hospital Authority resource efficiency evaluation: Via a novel DEA-Malmquist model and Tobit regression model
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Correction: Hong Kong Hospital Authority resource efficiency evaluation: Via a novel DEA-Malmquist model and Tobit regression model

PloS one, 2018-02, Vol.13 (2), p.e0193266-e0193266 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Guo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 Guo et al 2018 Guo et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0193266 ;PMID: 29447275

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