Results 11 to 20 of about 1,637,129 (288)
Robust Joint Sparse Uncorrelated Regression [PDF]
Jisuanji kexue, 2022 Common unsupervised feature selection methods only consider the selection of discriminative features,while ignoring the redundancy of features and failing to consider the problem of small classes,which affect the classification performance.Based on this ...
LI Zong-ran, CHEN XIU-Hong, LU Yun, SHAO Zheng-yi
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Flexible Robust Mixture Regression Modeling
Revstat Statistical Journal, 2022 This paper provides a flexible methodology for the class of finite mixture of regressions with scale mixture of skew-normal errors (SMSN-FMRM) introduced by [42], relaxing the constraints imposed by the authors during the estimation process.
Marcus G. Lavagnole Nascimento +1 more
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Axioms, 2023 Under classical statistics, research typically relies on precise data to estimate the population mean when auxiliary information is available. Outliers can pose a significant challenge in this process.
Abdullah Mohammed Alomair, Usman Shahzad
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Chemical Oxygen Demand (COD) Estimation in Petrochemical Industry Wastewater Effluent via Robusted Regression [PDF]
علوم و مهندسی آب و فاضلاب, 2018 In order to increase the quality of industrial wastewater treatment and better manage of them, their approach should be simple and accurate for estimating process.
Milad Abuzari +2 more
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Mandatory IFRS Adoption and Real/Accruals Bases Earnings Management in the UK [PDF]
ACRN Journal of Finance and Risk Perspectives, 2021 Here, the link between the mandatory adoption of International Financial Reporting Standards (IFRS) and Real Earnings Management (REM), as well as Accrual Earnings Management (AEM), will be examined for non-financial listed firms in the London Stock ...
Mohammad I. Almaharmeh +2 more
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Adaptive Robust Regression by Using a Nonlinear Regression Program
Journal of Statistical Software, 1999 Robust regression procedures have considerable attention in mathematical statistics literature. They, however, have not received nearly as much attention by practitioners performing data analysis.
Mortaza Jamshidian
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A robust sparse representation algorithm based on adaptive joint dictionary
CAAI Transactions on Intelligence Technology, 2023 Sparse representation based on dictionary construction and learning methods have aroused interests in the field of face recognition. Aiming at the shortcomings of face feature dictionary not ‘clean’ and noise interference dictionary not ‘representative ...
Ying Tong +3 more
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fsdaSAS: A Package for Robust Regression for Very Large Datasets Including the Batch Forward Search
Stats, 2021 The forward search (FS) is a general method of robust data fitting that moves smoothly from very robust to maximum likelihood estimation. The regression procedures are included in the MATLAB toolbox FSDA.
Francesca Torti +2 more
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Analysis of influencing factors and prediction of China’s Containerized Freight Index
Frontiers in Marine Science, 2023 China, as a major maritime nation, the China Containerized Freight Index (CCFI) serves as an objective reflection of the Chinese shipping market and an important indicator for understanding China’s shipping industry globally.
Xiaoying Tu +3 more
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RobPer: An R Package to Calculate Periodograms for Light Curves Based on Robust Regression
Journal of Statistical Software, 2016 An important task in astroparticle physics is the detection of periodicities in irregularly sampled time series, called light curves. The classic Fourier periodogram cannot deal with irregular sampling and with the measurement accuracies that are ...
Anita M. Thieler +2 more
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