Has Digitalization Boosted the Rural Tourism Income?—Evidence from Prefecture-Level City Panel Data in China by Qirui Zhang, Hao Feng, Xinhui Feng, Wangfang Xu, Longbao Wei

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Error Data Analytics on RSS Range-Based Localization by Shuhui Yang, Zimu Yuan, Wei Li

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Systematic identification and quantification of factors and their interactions with age, sex, and panel wave influencing cognitive function in Korean older adults by Eunmi Kim, Eunmi Kim, Jinkyung Oh, Jinkyung Oh, Jungsoo Gim, Jungsoo Gim, Jungsoo Gim, Iksoo Huh, Iksoo Huh

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The estimation of the effective reproductive number from disease outbreak data by Ariel Cintrón-Arias, Carlos Castillo-Chávez, Luís M. A. Bettencourt, Alun L. Lloyd, H. T. Banks

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Variation Comparison of OLS and GLS Estimators using Monte Carlo Simulation of Linear Regression Model with Autoregressive Scheme by Sajid AliKhan, Sayyad Khurshid, Tooba Akhtar, Kashmala Khurshid

“… In this research we discusses to Ordinary Least Squares and Generalized Least Squares techniques and estimate with First Order Autoregressive scheme from different correlation levels by using simple linear regression model. …”
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Identification of Leverage Points in Principal Component Regression and r-k Class Estimators with AR(1) Error Structure by Tuğba Söküt

“…The results showed that the leverage of the first observation obtained by principal component regression and r-k estimators is smaller than that obtained by generalized least squares and ridge regression estimators. …”
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THE IMPACT OF GENDER DIVERSITY ON EARNINGS QUALITY OF LISTED FINANCIAL SERVICES FIRMS IN NIGERIA: ANALYSIS OF TWO-STAGE LEAST SQUARES by Joseph Olorunfemi Akande

“…Additionally, Generalized Least Squares (GLS) and Feasible Generalized Least Squares (FGLS) methods were applied to handle heteroskedasticity and autocorrelation issues. …”
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Properties of the coefficient estimators for the linear regression model with heteroskedastic error term by Alfredas Račkauskas, Danas Zuokas

“… In this paper we present estimated generalized least squares (EGLS) estimator for the coefficient vector β in the linear regression model y = βX + ε, where disturbance term can be heteroskedastic. …”
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Modified Preconditioned GAOR Methods for Systems of Linear Equations by Xue-Feng Zhang, Qun-Fa Cui, Shi-Liang Wu

“…Three kinds of preconditioners are proposed to accelerate the generalized AOR (GAOR) method for the linear system from the generalized least squares problem. The convergence and comparison results are obtained. …”
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Adoption of Technology for Reading Purposes: A Study of E-Books Acceptance by Mateus Martins, Josivania Silva Farias, Pedro Henrique Melo Albuquerque, Danilo Santana Pereira

“…We analyzed the data via structural equations modeling; we obtained generalized least squares and standard errors via resampling (Jackknife). …”
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Human Capital and Rural Households’ Vulnerability to Relative Poverty: Evidence from China by Jianfeng Su, Shurui Guo

“…Drawing on three-wave panel data from China Family Panel Studies (CFPS) of 2014, 2016, and 2018, this paper measures rural households’ vulnerability to relative poverty using the three-stage feasible generalized least squares (FGLS) model. We analyze the impact of human capital on vulnerability to relative poverty by using the two-way fixed-effected model and panel quantile regression. …”
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WOMEN IN TOP ECHELON POSITIONS AND THEIR EFFECTS ON CARBON EMISSION DISCLOSURE: EVIDENCE FROM AN EMERGING NATION by Saheed Olanrewaju Issa, Abdulkadri Toyin Alabi, Abdulbaki Teniola Ubandawaki

“…The collected data were analyzed with the aid of the generalized least squares (GLS) multiple regression technique. …”
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Robust Wavelet Estimation to Eliminate Simultaneously the Effects of Boundary Problems, Outliers, and Correlated Noise by Alsaidi M. Altaher, Mohd Tahir Ismail

“…The proposed methods combine thresholding estimator with either a local polynomial model or a polynomial model using the generalized least squares method instead of the ordinary one. …”
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Dynamics between the obstacles of business environment and firm performance in Bangladesh: Survey-based empirical insights using ML algorithms by Chandan Kumar Roy

“…Analysis using ordinary least squares (OLS) and generalized least squares (GLS) regression models reveals that investments in electricity infrastructure, access to financial services, and obtaining quality certifications positively impact CMSME performance. …”
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Damping Energy Dissipation and Parameter Identification of the Bellows Structure Covered with Elastic-Porous Metal Rubber by Guojian Shen, Min Li, Xin Xue

“…Third, the corresponding parameters on dynamic properties of the covered bellows structure were determined by generalized least-squares estimation. Finally, the prediction results were compared with the measured displacement-restoring force curves to verify the accuracy of the developed dynamic model. …”
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EFFECT OF BOARD STRUCTURE ON CORPORATE SOCIAL AND ENVIRONMENTAL SUSTAINABILITY PERFORMANCE OF LISTED NIGERIAN OIL AND GAS FIRMS by Motunrayo Elizabeth OMOLEHIN, Folashade Olufunke OBAJE

“…The panel data generalized least squares (random effect) method was used to analyse data sourced from annual reports, sustainability reports of selected oil and gas firms listed on the floor of the Nigeria Exchange from 2012 to 2022 and CSRHub database. …”
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Research and development investment and board characteristics by Ahlem Selma Messai, Fathi Jouini

“…This study examines the impact of board characteristics on Research and Development (R&D) investment decisions in 102 French companies from 2010 to 2021. Employing generalized least squares, the Newey-West estimator, and weighted least squares methods, we comprehensively analyze the relationships between board size, independence, gender diversity, meeting frequency, CEO duality with R&D expenditure. …”
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Enhancing integrated reporting quality through boardroom diversity: the critical role of board diligence in the petroleum industry by Ally Adam Mshana, Siasa Issa Mzenzi, Said Juma Suluo

“…Employing panel data analysis with Feasible Generalized Least Squares (FGLS) regression models, we find that board gender and nationality diversity positively impact IR quality. …”
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Uncertainty quantification in modeling HIV viral mechanics by H. T. Banks, Robert Baraldi, Karissa Cross, Kevin Flores, Christina McChesney, Laura Poag, Emma Thorpe

“…We then consider statistical models to describe the data and use these with residual plots in generalized least squares problems to develop accurate descriptions of the proper weights for the data. …”
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Enhancing well-being in hybrid work: the crucial role of organizational support for Indonesia’s State Civil Apparatus by Despinur Dara, Susan Febriantina, Suwatno Suwatno

“…Using data from 533 respondents selected through simple random sampling, the analysis employed Structural Equation Modeling with a Generalized Least Squares estimation approach. The results reveal that Hybrid Working significantly increases Job Burnout, indicating elevated stress levels from its implementation. …”
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