Extended Kalman Filter-Based Approach for Autonomous Synchronization and Ranging in GPS-Denied Environments by Xiaobo Gu, Weiqiang Tan, Di Zhang, Yudong Lu, Ruidian Zhan

“…The simulation results show that the proposed estimator achieves a relative good performance than the existed estimators. …”
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Multi-Task Nonparametric Regression Under Joint Sparsity by Jae-Hwan Jhong, Gyeongmin Kim, Kwan-Young Bak

“…This study investigates a multi-task estimation under joint sparsity. We consider estimating multiple functions when functions of interest share common sparsity patterns. …”
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Local Projection-Based Stabilized Mixed Finite Element Methods for Kirchhoff Plate Bending Problems by Xuehai Huang

“…And by duality argument, error estimates of the approximation to deflection in H1-norm are achieved. …”
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An Effective Robust Total Least-Squares Solution Based on “Total Residuals” for Seafloor Geodetic Control Point Positioning by Zhipeng Lv, Guorui Xiao

“…Unlike the Least-Squares (LS) estimation, the TLS estimation is unsuitable for residual prediction. …”
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Some puzzles appearing in statistical inference by Alemam, Seyf, Homei, Hazhir, Nadarajah, Saralees

“…Rao-Blackwell theorem is widely known to be a mathematically powerful technique that can be used to improve the precision of an estimator. The procedure entails exploiting a sufficient statistic to obtain an improved estimator or a uniformly minimum variance unbiased estimator. …”
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Determination of change-point of tail index by Kęstutis Gadeikis

“… This article deals with a new estimator for tail index, introduced by proof V. Paulauskas in [1]. …”
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V-BAG: A virtual bandwidth aggregation scheme for Internet of Things data by Yongsu Gwak, Young Yong Kim, Ronny Yongho Kim

“…The estimator provides an accurate delay and bandwidth estimation of heterogeneous wireless links using network layer information. …”
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Stator Current-Based Model Reference Adaptive Control for Sensorless Speed Control of the Induction Motor by Workagegn Tatek Asfu

“…This paper described that the stator current-based model reference adaptive system (MRAS) speed estimator is used for the induction motor (IM) indirect vector speed control without a mechanical speed sensor. …”
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Direct Determination of Smoothing Parameter for Penalized Spline Regression by Takuma Yoshida

“…Penalized spline estimator is one of the useful smoothing methods. To construct the estimator, having goodness of fit and smoothness, the smoothing parameter should be appropriately selected. …”
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Integral Least-Squares Inferences for Semiparametric Models with Functional Data by Limian Zhao, Peixin Zhao

“…We propose an integral least-squares technique for estimating the parametric components, and the asymptotic normality of the resulting integral least-squares estimator is studied. …”
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Optical Coherence Tomography Noise Reduction Using Anisotropic Local Bivariate Gaussian Mixture Prior in 3D Complex Wavelet Domain by Hossein Rabbani, Milan Sonka, Michael D. Abramoff

“…In this paper, MMSE estimator is employed for noise-free 3D OCT data recovery in 3D complex wavelet domain. …”
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Robust Consensus Tracking Control for Multi-Unmanned-Aerial-Vehicle (UAV) System Subjected to Measurement Noise and External Disturbance by Zhiyuan Zheng, Shiji Tong, Erquan Wang, Yang Zhu, Jinliang Shao

“…In this paper, to address this issue, we propose a novel distributed consensus tracking control framework consisting of a distributed observer and a local dual-estimator-based tracking controller. Each UAV’s distributed observer estimates the leader’s states and generates the local reference, functioning even under a switching communication topology. …”
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Single index regression for locally stationary functional time series by Breix Michael Agua, Salim Bouzebda

“…We rigorously established the uniform convergence rates for kernel estimators, specifically the Nadaraya-Watson (NW) estimator for the regression function. …”
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Robust Control for the Suspension Cable System of the Unmanned Helicopter with Sensor Fault under Complex Environment by Rong Mei

“…Considering the sensor fault of the unmanned helicopter, a sensor fault estimator is developed. By using the fault estimator output, the robust antiswing tolerant controller is proposed using the backstepping technique and sliding mode control method. …”
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A Joint Forgetting Factor-Based Adaptive Extended Kalman Filtering Approach to Predict the State-of-Charge and Model Parameter of Lithium-Ion Battery by Satyaprakash Rout, Satyajit Das

“…Many Kalman filter-driven SOC estimators in the literature overlook these uncertainties, leading to imprecise SOC estimation. …”
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Experimental Closed-Loop Control of Breast Cancer in Mice by Levente Kovács, Bence Czakó, Máté Siket, Tamás Ferenci, András Füredi, Balázs Gombos, Gergely Szakács, Dániel András Drexler

“…The controller consists of a nonlinear model predictive controller which uses the state estimation of a moving horizon estimator. The estimator also computes parameter estimates of the prediction model such that the time varying nature of tumor evolution can be captured. …”
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Nonparametric Regression Model for Longitudinal Data with Mixed Truncated Spline and Fourier Series by Made Ayu Dwi Octavanny, I. Nyoman Budiantara, Heri Kuswanto, Dyah Putri Rahmawati

“…The mixed estimator is obtained by solving the two-stage estimation, consisting of a penalized weighted least square (PWLS) and weighted least square (WLS) optimization. …”
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Nonparametric spatio-temporal modeling: Contruction of a geographically and temporally weighted spline regression by Sifriyani, Syaripuddin, M. Fathurahman, Nariza Wanti Wulan Sari, Meirinda Fauziyah, Andrea Tri Rian Dani, Raudhatul Jannah, S. Dwi Juriani, Ratna Kusuma

“…The research aims to develop the GTWSNR model to overcome these challenges and uses the Maximum Likelihood Estimator (MLE) to estimate the model. Key contributions of this study include: • The development of the GTWSNR model as a spatiotemporal approach to address unknown regression functions using a truncated spline estimator in nonparametric regression. • The application of a weighted Maximum Likelihood Estimator (MLE) method for estimating the GTWSNR model. • The implementation of the GTWSNR model on rice productivity data from 34 provinces in Indonesia to demonstrate its effectiveness as the best model.…”
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Institutions and economic growth in European post-transition economies by Predrag Trpeski

“…To analyse this, we conduct an econometric analysis of 16 European post-transition countries from 1998-2019 using fixed-effect, Arellano and Bond’s first difference GMM estimator, and the system GMM estimator. The results indicate that institutions significantly impact economic growth.…”
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Determinants of the effective tax rate in the tourism sector: a dynamic panel data model by José Moreno-Rojas, M. Rosario González-Rodríguez, Rosario Carmen Martín-Samper

“…The Arellano-Bond system GMM estimator has been used to estimate the model. The study seeks to shed light on the determinants of tax burden in the tourism sector covering the lack of studies on this topic. …”
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