Forensic Speaker Verification Using Ordinary Least Squares [PDF]
Sensors, 2019 In Brazil, the recognition of speakers for forensic purposes still relies on a subjectivity-based decision-making process through a results analysis of untrustworthy techniques.
Thyago J. Machado +2 more
doaj +8 more sources
Electricity Prices and Residential Electricity Consumption in South Africa: Evidence from Fully Modified Ordinary Least Squares and Dynamic Ordinary Least Squares Tests [PDF]
EnergiesThe sharp rise in electricity prices in South Africa has raised a growing concern over household electricity use, affordability, and the need for sustainable consumption patterns.
Christinah Setshedi, Gisele Mah
doaj +2 more sources
RILS-ROLS: robust symbolic regression via iterated local search and ordinary least squares [PDF]
Journal of Big Data, 2023 In this paper, we solve the well-known symbolic regression problem that has been intensively studied and has a wide range of applications. To solve it, we propose an efficient metaheuristic-based approach, called RILS-ROLS.
Aleksandar Kartelj, Marko Djukanović
doaj +2 more sources
Sample size and power considerations for ordinary least squares interrupted time series analysis: a simulation study [PDF]
Clinical Epidemiology, 2019 Samuel Hawley,1 M Sanni Ali,1,2 Klara Berencsi,1 Andrew Judge1,3,4 Daniel Prieto-Alhambra1,5 1Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK; 2Faculty of
Hawley S +4 more
doaj +2 more sources
Approximated Uncertainty Propagation of Correlated Independent Variables Using the Ordinary Least Squares Estimator [PDF]
MoleculesFor chemical measurements, calibration is typically conducted by regression analysis. In many cases, generalized approaches are required to account for a complex-structured variance–covariance matrix of (in)dependent variables. However, in the particular
Jeong Sik Lim +2 more
doaj +2 more sources
Differentially Private Ordinary Least Squares
The Journal of Privacy and Confidentiality, 2019 Linear regression is one of the most prevalent techniques in machine learning; however, it is also common to use linear regression for its explanatory capabilities rather than label prediction.
Or Sheffet
doaj +4 more sources
Classification of advanced and early stages of diabetic retinopathy from non-diabetic subjects by an ordinary least squares modeling method applied to OCTA images. [PDF]
Biomed Opt Express, 2020 Cano J +7 more
europepmc +2 more sources
A few theoretical results for Laplace and arctan penalized ordinary least squares linear regression estimators. [PDF]
Commun Stat Theory Methods, 2023 John M, Vettam S.
europepmc +3 more sources
Tourism and income inequality [PDF]
Journal of Business and Socio-Economic Development, 2022 Purpose – Tourism has grown to be one of the world's largest and fastest-growing economic industries. Tourism development is viewed as a tool to improve income distribution as it allows people at the bottom of the pyramid to get involved in the industry.
Yogeeswari Subramaniam +2 more
doaj +1 more source
Geoscience Letters, 2022 The linear relationship between two stable water isotopes (δD and δ18O) has been used to examine the physical processes and movements or changes of three water phases (water vapor, liquid water and ice), including deuterium excess.
Jeonghoon Lee +3 more
doaj +1 more source