Results 71 to 80 of about 2,198,677 (243)

Study of geopotential error models used in orbit determination error analysis [PDF]

The uncertainty in the geopotential model is currently one of the major error sources in the orbit determination of low-altitude Earth-orbiting spacecraft.
Hart, R. C., Kelbel, D., Lee, T., Mistretta, G. D., Samii, M. V., Yee, C.   +5 more
core   +1 more source

Standard Error Estimates for ARRI Ensemble LM model outputs

, 2023
Joseph St. Peter, Jason Drake, Paul Medley   +2 more
openalex   +1 more source

Acyclic anyon models, thermal anyon error corrections, and braiding universality [PDF]

, 2018
César Galíndo, Eric C. Rowell, Zhenghan Wang   +2 more
openalex   +1 more source

A priori error estimates of fully discrete finite element Galerkin\n method for Kelvin-Voigt viscoelastic fluid flow model [PDF]

, 2019
Saumya Bajpai, Ambit K. Pany
openalex   +1 more source

A Review of Machine Learning-Based Thermal Error Modeling Methods for CNC Machine Tools

Machines
Heat source-induced thermal error is a primary element influencing the precision of CNC machine tools. A practical and economical approach to mitigating thermal errors is through thermal error compensation.
Sen Mu, Chunping Yu, Kunlong Lin, Caijiang Lu, Xi Wang, Tao Wang, Guoqiang Fu   +6 more
doaj   +1 more source

An Algorithm for Online Stochastic Error Modeling of Inertial Sensors in Urban Cities. [PDF]

Sensors (Basel), 2023
Zhao L, Zhao L.
europepmc   +1 more source

Error analysis of a conforming and locking-free four-field formulation for the stationary Biot’s model [PDF]

, 2020
Ricardo Oyarzúa, Sander Rhebergen, Manuel Solano, Paulo Zúñiga   +3 more
openalex   +1 more source

Incorporating measurement error in n=1 psychological autoregressive modeling

Frontiers in Psychology, 2015
Measurement error is omnipresent in psychological data. However, the vast majority of applications of autoregressive time series analyses in psychology do not take measurement error into account.
Noémi Katalin Schuurman, Jan H. Houtveen, Ellen L. Hamaker   +2 more
doaj   +1 more source

A Regularized Regression Thermal Error Modeling Method for CNC Machine Tools under Different Ambient Temperatures and Spindle Speeds. [PDF]

Sensors (Basel), 2023
Wei X, Ye H, Zhou J, Pan S, Qian M.
europepmc   +1 more source

Modeling gene expression measurement error: a quasi-likelihood approach

BMC Bioinformatics, 2003
Background Using suitable error models for gene expression measurements is essential in the statistical analysis of microarray data. However, the true probabilistic model underlying gene expression intensity readings is generally not known.
Strimmer Korbinian
doaj   +1 more source