Effective identification and estimation for the semiparametric measurement error model
Sign Up to like & getrecommendations! Published in 2017 at "Journal of The Korean Statistical Society"
DOI: 10.1016/j.jkss.2016.05.005
Abstract: Abstract In this paper, we study the identification and estimation of a varying coefficient partially linear model with both the error-prone and redundant covariates. By employing a finite difference method, we remove the nonparametric component… read more here.
Keywords: error; measurement error; model; identification estimation ... See more keywords
Identification and estimation of panel semiparametric conditional heteroskedastic frontiers with dynamic inefficiency
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DOI: 10.1080/07474938.2024.2328905
Abstract: Abstract. We study a semiparametric panel stochastic frontier model with nonseparable unobserved heterogeneity, which allows for time-varying conditional heteroskedastic productivity components. It does not require distributional assumptions on random noise except conditional symmetry. We utilize… read more here.
Keywords: conditional heteroskedastic; panel; inefficiency; identification estimation ... See more keywords
Joint Identification and Estimation of Imbalance Torque in Gimbal Servo Systems via Variational Bayes Adaptive Expectation-Maximization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2023.3330734
Abstract: As the main source of disturbances in gimbal servo systems, the dynamic rotor imbalance can induce a torque that deteriorates system performance. The imbalance disturbance is quasi-periodic with unknown frequency, phase and amplitude, and is… read more here.
Keywords: joint identification; identification estimation; gimbal servo; imbalance ... See more keywords