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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
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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
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Differentially Private Ordinary Least Squares [PDF]
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
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High Dimensional Ordinary Least Squares Projection for Screening Variables [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2015 SummaryVariable selection is a challenging issue in statistical applications when the number of predictors p far exceeds the number of observations n. In this ultrahigh dimensional setting, the sure independence screening procedure was introduced to reduce the dimensionality significantly by preserving the true model with overwhelming probability ...
Wang, Xiangyu, Leng, Chenlei
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Separations, 2018 It is necessary to determine the limit of detection when validating any analytical method. For methods with a linear response, a simple and low labor-consuming procedure is to use the linear regression parameters obtained in the calibration to estimate ...
Juan M. Sanchez
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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
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ORDINARY LEAST SQUARES ESTIMATION OF A DYNAMIC GAME MODEL [PDF]
International Economic Review, 2016 Estimation of dynamic games is known to be a numerically challenging task. A common form of the payoff functions employed in practice takes the linear‐in‐parameter specification. We show a least squares estimator taking a familiar OLS/GLS expression is available in such a case. Our proposed estimator has a closed form.
Miessi Sanches, F.A. +2 more
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Mathematics and Statistics, 2022 Inefficient estimation of distribution parameters for current climate will lead to misleading results in future climate. Maximum likelihood estimation (MLE) is widely used to estimate the parameters. However, MLE is not well performed for the small size.
Nawal Adlina Mohd Ikbal +2 more
semanticscholar +1 more source
Ordinary Least Squares Estimation of the Intrahousehold Distribution of Expenditure
Journal of Political Economy, 2021 We provide a method to estimate resource shares—the fraction of total household expenditure allocated to each household member—using linear (e.g., ordinary least squares) estimation of Engel curves.
V. Lechêne, Krishna Pendakur, A. Wolf
semanticscholar +1 more source
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
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