Results 11 to 20 of about 2,446,419 (268)
A GENERALIZED INTEGRAL-GEOMETRICAL THEORY IN MINING [PDF]
Fiabilitate şi Durabilitate, 2012 A new mechanical and mathematical model for mining through formation is suggested. A vectorfunction which describes the created displacement possibility of the influence zone points of the miningexcavation is applied. The points put under influence react
Michail VULKOV
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Filtered Influence Function of Deformable Mirror for Wavefront Correction in Laser Systems
Photonics, 2021 An influence function filtering method (IFFM) is presented to improve the wavefront correction capability in laser systems by curbing the correction performance degradation resulted from the IF measurement noise.
Yamin Zheng +5 more
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Modified boundary element method for the solution of connected problems of mathematical physics
Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2013 The modified boundary element method for physico-mathematical modeling of the multifactorial processes is offered for discussion. Physical modeling based on the Onsager's theorem about the relationship between generalized forces and fluxes where we ...
Vladimir Petrovich Fedotov
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Applied Sciences, 2023 In this paper, the numerical micromodulus is derived for the plane stress problem to develop a new insight into the application of bond-based peridynamics.
Yachen You, Siyi Jia
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Two symmetric and computationally efficient Gini correlations
Dependence Modeling, 2020 Standard Gini correlation plays an important role in measuring the dependence between random variables with heavy-tailed distributions. It is based on the covariance between one variable and the rank of the other. Hence for each pair of random variables,
Vanderford Courtney +2 more
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Mathematics, 2023 In this paper, we introduce the restricted minimum density power divergence Gaussian estimator (MDPDGE) and study its main asymptotic properties. In addition, we examine it robustness through its influence function analysis.
Ángel Felipe +3 more
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Robust Inference after Random Projections via Hellinger Distance for Location-Scale Family
Entropy, 2019 Big data and streaming data are encountered in a variety of contemporary applications in business and industry. In such cases, it is common to use random projections to reduce the dimension of the data yielding compressed data. These data however possess
Lei Li +3 more
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Robust variance estimation and inference for causal effect estimation
Journal of Causal Inference, 2023 We present two novel approaches to variance estimation of semi-parametric efficient point estimators of the treatment-specific mean: (i) a robust approach that directly targets the variance of the influence function (IF) as a counterfactual mean outcome ...
Tran Linh +3 more
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Revstat Statistical Journal, 2014 There is a vast literature on robust estimators, but in some situations it is still not easy to make inferences, such as confidence regions and hypothesis testing. This is mainly due to the following facts.
Conceição Amado +3 more
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Assessment of South Pars Gas Field Subsidence Due To Gas Withdrawal [PDF]
Civil Engineering Infrastructures Journal, 2014 Withdrawal of oil and gas from reservoirs causes a decrease in pore pressure and an increase in effective stress which results to a reservoir compaction.
Akbar Ghazifard +2 more
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