Results 41 to 50 of about 409,081 (168)

Robust Parameter Estimation for a Class of Nonlinear System With EM Algorithm

IEEE Access, 2020
This paper is concerned with the robust parameter estimation for linear parameter varying (LPV) finite impulse response (FIR) model. The practical process data are typically polluted by outliers and conventional parameter estimation methods may fail to ...
Tingting Zhang, Xin Liu, Xiaofeng Liu
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Parameter estimation for stable distributions with application to commodity futures log-returns

Cogent Economics & Finance, 2017
This paper explores the theory behind the rich and robust family of $ \alpha $-stable distributions to estimate parameters from financial asset log-returns data.
M. Kateregga, S. Mataramvura, D. Taylor
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Multivariate estimation of Poisson parameters

Journal of Multivariate Analysis, 2020
This paper is devoted to the multivariate estimation of a vector of Poisson means. A novel loss function that penalises bad estimates of each of the parameters and the sum (or equivalently the mean) of the parameters is introduced. Under this loss function, a class of minimax estimators that uniformly dominate the maximum likelihood estimator is ...
Stoltenberg, Emil Aas, Hjort, Nils Lid
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Parameter estimation without confidence intervals? [PDF]

Epidemiology and Health, 2016
Jong-Myon Bae
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Using Covariance Factor in Genetic Parameter Estimation

Veterinary Sciences and Practices, 2022
Ömer ELTAS, Mehmet TOPAL
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A Parameter Estimation Method for Nonlinear Systems Based on Improved Boundary Chicken Swarm Optimization

Discrete Dynamics in Nature and Society, 2016
Parameter estimation is an important problem in nonlinear system modeling and control. Through constructing an appropriate fitness function, parameter estimation of system could be converted to a multidimensional parameter optimization problem.
Shaolong Chen, Renyu Yang, Renhuan Yang, Liu Yang, Xiuzeng Yang, Chuangbiao Xu, Baoguo Xu, Huatao Zhang, Yaosheng Lu, Weiping Liu   +9 more
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Impact of Instantaneous Parameter Sensitivity on Ensemble‐Based Parameter Estimation: Simulation With an Intermediate Coupled Model

Journal of Advances in Modeling Earth Systems
On ensemble‐based coupled data assimilation, cross‐component parameter estimation (CPE), has not been as extensively developed and applied as weakly coupled state and parameter estimation along with cross‐component state estimation.
Lige Cao, Guijun Han, Wei Li, Haowen Wu, Xiaobo Wu, Gongfu Zhou, Qingyu Zheng   +6 more
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Classical and Bayesian Inference for the Two-Parameter Rayleigh Distribution with Random Censored Data

Entropy
This study focuses on parameter estimation and reliability analysis for the two-parameter Rayleigh distribution under random censoring. It is shown that directly fitting the standard Rayleigh distribution can lead to substantial estimation errors ...
Lanxi Zhang, Wenhao Gui, Zihan Zhao, Minghui Liu   +3 more
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BAYES RISKS OF ESTIMATORS OF ESTIMABLE PARAMETERS [PDF]

Bulletin of Mathematical Statistics, 1980
For the estimable parameter of degree 2, throughout this paper, we consider 02 with h2 such that h2(x, x) and h2(x, x)=0 for any x, yEX. As estimators of estimable parameters, U-statistics and differentiable statistical functions are well known. (See, for example, Hoeffding (1948) and von Mises (1947).) For an estimable parameter of degree 1, the U ...
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Doppler sensing aided HEMP waveform parameter estimation [PDF]

Journal of Hebei University of Science and Technology
Aiming at the problem of significant Doppler frequency shift (DFS) in the waveform of high altitude electromagnetic pulse (HEMP) emitted by aircraft moving at high speed, which severely reduces the accuracy of HEMP waveform parameter estimation, a method
Chaojin QING, Yinjie ZHANG, Mintao ZHANG, Maogang WEI   +3 more
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