Results 71 to 80 of about 9,395,905 (186)
Applied SciencesThe extensive adoption of large mining height technology and the progressive deepening of mining operations have presented formidable challenges to the safety of roadway support.
Yinghao Qu +7 more
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Large deviations of regression parameter estimator in continuous-time models with sub-Gaussian noise
Modern Stochastics: Theory and Applications, 2018 A continuous-time regression model with a jointly strictly sub-Gaussian random noise is considered in the paper. Upper exponential bounds for probabilities of large deviations of the least squares estimator for the regression parameter are obtained.
Alexander V. Ivanov, Igor V. Orlovskyi
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WKB Analysis of Painlevé Transcendents with a Large Parameter, I
Advances in Mathematics, 1996 Solutions of Painlevé equations \((P_J)\) with large parameter \(\eta\) are studied. They arise as conditions for isomonodromic deformation of certain Schrödinger equations \((SL_J)\) with a large parameter \(\eta\) (some turning point of the equation is forced to become double).
Kawai, Takahiro, Takei, Yoshitsugu
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Large deviations for drift parameter estimator of mixed fractional Ornstein–Uhlenbeck process
Modern Stochastics: Theory and Applications, 2016 We investigate large deviation properties of the maximum likelihood drift parameter estimator for Ornstein–Uhlenbeck process driven by mixed fractional Brownian motion.
Dmytro Marushkevych
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Eigenvalue Problems for a Cooperative System with a Large Parameter
Advanced Nonlinear Studies, 2013 Abstract We consider the principal eigenvalue of a cooperative system of elliptic boundary value problems as a parameter tends to infinity. The main aim is to introduce a new approach to deal with the limit problem by focusing on the resolvent operator corresponding to the system rather than the eigenvalue problem itself.
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On the Vibration-Based Modal Parameter Identification of Large Wind Turbine Blades
EnergiesThe blades directly affect the safety and power generation efficiency of the wind turbines. With the blade size increases, the reliable modal identification becomes important for vibration-based health monitoring. Although operational modal analysis (OMA)
Qiang Liu +5 more
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, 2014 Tujuan utama dari analisis regresi adalah menduga parameter yang tidak diketahui dalam model. Tiga metode estimasi populer yang banyak digunakan adalah kuadrat terkecil (Least-Squares) dan likelihood maksimum (Maximumum Likelihood) dan metode momen ...
ESTIMASI PARAMETER PADA STANDARD CAPM (CAPITAL ASSETS PRICING MODEL) DENGAN METODE GMM (GENERALIZED METHOD OF MOMENTS)
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Error Analysis and Parameter Recommendations for Randomness Test Under Large Sample Conditions [PDF]
Jisuanji kexueIn the field of information security,randomness tests play a crucial role in ensuring the security of cryptographic systems.The stability and reliability of these tests directly impact the overall security of cryptographic systems,making error issues ...
SUN Yueyue, FAN Limin
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Large parameter cases of the Gauss hypergeometric function
Journal of Computational and Applied Mathematics, 2003 21 pages, 4 ...
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Parameter free large margin nearest neighbor for distance metric learning
, 2017 We introduce a novel supervised metric learning algorithm named parameter free large margin nearest neighbor (PFLMNN) which can be seen as an improvement of the classical large margin nearest neighbor (LMNN) algorithm.
Nie, Feiping (feipingnie@gmail.com) +4 more
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