On identification methods of linear regression models by Romualdas Salėtis

“… The aim of this paper is to discus the efficiency of the least squares and least absolute values estimation methods, in such situations, then the sample is with outliers, the variance of the residuals changes in the time and the residuals are correlated. …”
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Spatial analysis of speculation in the US housing market by Salaheddin Manochehri, Ramin Amani, Jamal Mamkhezri

“…Employing advanced analytical techniques, including nonlinear least squares and time-varying parameter ordinary least squares, we delve into the spatial patterns of speculation within the housing market. …”
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Rapid estimation method of lithium battery state of health based on novel health feature by DONG Xiaohong, DONG Jinbo, WANG Mingshen, ZENG Fei, PAN Yi

“…Finally, considering different time intervals, the method uses the ordinary least squares (OLS) regression analysis method to determine the optimal time interval parameter of the lithium battery. …”
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Modeling Concrete Compressive Strength Variation with Age Using Origin Pro Software. by Nabaweesi, Alice

“…The model's performance was evaluated using metrics such as mean squared error (MSE) and coefficient of determination (R-squared). …”
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Design and Simulation of a Semi–Automatic Paver Block Making Machine. by Wamani, Samuel

“…The creation of an automatic paver block-producing machine with a shorter cycle time was required to solve these issues. The goal of this project is to design and create a low-cost, straightforward machine with an urgent part explanation that will shorten the paver tile block processes' cycle time. …”
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Thermal radiation and thermo-diffusion in Casson-ferrofluid over a magnetized porous surface: RSM analysis by S. Manjunatha, J. Santhosh Kumar, Khalil Ur Rehman, Wasfi Shatanawi, S.V.K. Varma

“…As radiation and heat sources increase, the temperature rises, whereas the Dufour effect leads to the opposite outcome. The adjusted R-squared and R-squared for skin friction achieve a value of 99.92 %. …”
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EFFECT OF TAX AUDIT ON GOVERNMENT REVENUE GENERATION IN LAGOS STATE by Johnson Olugbenga Agbede

“…The methodology involved descriptive and inferential analysis, including ordinary least squares regression analysis, to explore the relationships between tax audits and revenue outcomes. …”
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Meta Learning Strategies for Comparative and Efficient Adaptation to Financial Datasets by Kubra Noor, Ubaida Fatima

“…This research proposes a Meta learning framework for financial time series forecasting, designed to rapidly adapt to novel market conditions with minimal retraining. …”
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DeepReducer: A linear transformer-based model for MEG denoising by Hui Xu, Li Zheng, Pan Liao, Bingjiang Lyu, Jia-Hong Gao

“…DeepReducer was trained on a mix of limited-trial and multi-trial averaged ERFs, employing mean squared error as the loss function to effectively capture and model the complex signal fluctuations inherent in MEG recordings. …”
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Real-World Analysis of Weight Gain and Body Mass Index Increase Among Patients with HIV-1 Using Antiretroviral Regimen Containing Tenofovir Alafenamide, Tenofovir Disoproxil Fumara... by Bruno Emond, Carmine Rossi, Rachel Rogers, Patrick Lefebvre, Marie-Hélène Lafeuille, Prina Donga

“…Time-to-weight and BMI increase ≥5% were compared using Cox models adjusted for baseline characteristics. …”
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Do Macroeconomic Factors Significantly Affect Economic Growth? Evidence from Ghana by Evans Yeboah, Dastan Bamwesigye

“…The study investigated some selected macroeconomic variables (external debt, FDI, inflation, exchange rate, and trade openness) that impact Ghana's economic growth. The study analyzed time series data from the World Bank (1991 to 2021) using econometrics methods; the Johansen cointegration, Ordinary least squares (OLS), and the distributed lagged model. …”
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The Impact of Stokvel and Banking Sector Efficiency: an Econometrics Model using (ARDL) Approach to Cointegration by Ngcobo, Lindiwe

“…Methods: Using Autoregressive Distributed-lag (ARDL) Bounds Testing Approach using quarterly time series secondary data ranging from 2009Q4 to 2020Q2 collected from the South African Reserve Bank and Old Mutual South Africa. …”
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Introducing youth to clinical research: Development and pilot implementation of a children’s activity book by Renee Cadzow, Andy Strohmeier, Erin Carnes, Teresa Quattrin

“…Preliminary analyses included descriptive statistics and cross-tabulations with chi squares. Results: Despite delays in dissemination and outreach due to the COVID-19 pandemic, we obtained feedback from over 170 diverse persons across a spectrum of communities and community partners. …”
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Advanced Air Quality Forecasting Using an Enhanced Temporal Attention-Driven Graph Convolutional Long Short-Term Memory Model With Seasonal-Trend Decomposition by Yuvaraja Boddu, A. Manimaran, B. Arunkumar, M. Sucharitha, J. Suresh Babu

“…The model demonstrates significant improvements in predictive accuracy, achieving reductions of 10-15% in error metrics such as Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) compared to traditional forecasting methods. …”
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Validation of In-field Calibration for Low-Cost Sensors Measuring Ambient Particulate Matter in Kolkata, India by Siddharth Nobell, Arnab Majumdar, Shovon Mukherjee, Sukumar Chakraborty, Sanjoy Chatterjee, Soumitra Bose, Anindita Dutta, Sandhya Sethuraman, Daniel M. Westervelt, Shairik Sengupta, Rakhi Basu, V. Faye McNeill

“…The LCS data after cross-calibration correctly identified days as being in or out of attainment with the 24h National Ambient Air Quality Standard of 60 µg m−3 91% of the time. The corrected data accurately identifies days with an India scale Air Quality Index of “poor” or worse 94% of the time. …”
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Mt or not Mt: Temporal variation in detection probability in spatial capture-recapture and occupancy models by Sollmann, Rahel

“…State variables such as abundance and occurrence of species are central to many questions in ecology and conservation, but our ability to detect and enumerate species is imperfect and often varies across space and time. Accounting for imperfect and variable detection is important for obtaining unbiased estimates of state variables. …”
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Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study. by Tore Bonsaksen, Daicia Price, Gary Lamph, Isaac Kabelenga, Amy Østertun Geirdal

“…The data were analyzed with independent samples t-tests, Chi Squared tests of independence, and single and multivariable logistic regression analyses. …”
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Optimization and modeling of sulfur removal from liquid fuel using carbon-based adsorbents through synergistic application of RSM and machine learning by Karim Maghfour Sarkarabad, Mohsen Shayanmehr, Ahad Ghaemi

“…The MLP network’s determination coefficient (R2) was 0.98 over 30 epochs, and its mean squared error (MSE) was 0.0028. The RBF network also obtained an R2 of 0.98 and an MSE of 0.0026 over 40 epochs. …”
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Periscapular Strength Profile Changes in Collegiate Baseball Pitchers Over the Course of a Season by Patrick S Pabian, Victoria Roach, Roselin Howard, Lauren Johnston, Ryan McGuire

“… # Results Over the three time-points, all strength values decreased for each muscle group, with decreases ranging from 3-14%. …”
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Global disparities in cancer supportive care: An international survey by Alexandre Chan, Lawson Eng, Changchuan Jiang, Mary Dagsi, Yu Ke, Mary Tanay, Cristiane Bergerot, Niharika Dixit, Ana Cardeña Gutiérrez, Ana I. Velazquez, Farhad Islami, Enrique Soto‐Perez‐de‐Celis

“…Results A total of 218 active members participated, with one‐quarter (26.6%) from LMIC and 18.4% ethnic minorities, timely cancer care (43.7%) and timely supportive care (45.0%) emerged as the most pressing disparities globally. …”
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