Detection of Data Integrity Attack Using Model and Data-Driven-Based Approach in CPPS by G. Y. Sree Varshini, S. Latha

“…Simulation results show that in the model-based anomaly detection method, the recursive polynomial model estimator (RPME) has better detection performance than the recursive least square estimator (RLSE). …”
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Diversity of Mosquito Vectors (Diptera: Culicidae) in Caxiuanã, Pará, Brazil by Ulisses E. C. Confalonieri, Cristina Costa Neto

“…According to the richness estimator abundance-based covered estimator (ACE) the greatest value occurred in April (2006), considering the levels of height to 16 m and on the ground. …”
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Principal Covariates Regression for Causal Case Studies by Weibin Ding, Jie Li, Dian Jin, Jiayang Kong

“…Researcher and analyst are often interested in estimating the effect of an intervention or treatment, which takes place at the aggregate level and affect one single unit, such as country and region. …”
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Frequency Synchronization Algorithms for MIMO-OFDM Systems with Periodic Preambles by Jian Sun, Fudong Li, Cheng-Xiang Wang, Xuemin Hong, Dongfeng Yuan

“…Two Maximum Likelihood Estimators (MLEs) and four low complexity Best Linear Unbiased Estimators (BLUEs) are proposed. …”
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Step-by-step causal analysis of EHRs to ground decision-making. by Matthieu Doutreligne, Tristan Struja, Judith Abecassis, Claire Morgand, Leo Anthony Celi, Gaël Varoquaux

“…Causal inference enables machine learning methods to estimate treatment effects of medical interventions from electronic health records (EHRs). …”
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The comparison of cointegration methods applications of Lithuanian’s economy modeling results by Viktorija Firkovič, Rimantas Rudzkis

“…We investigate mathematical models of the long-run relations and changes of macroeconomic indicators, which we statistically identify using different statistical estimator of cointegrated vectors (CI) and vector error correction model (VECM). …”
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Analysis of entropy on the European markets of energy and energy commodities prices. by Daniel Papla, Rafał Siedlecki

“…The work uses the time dependent James-Stein estimator of the Shannon informational entropy.…”
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The Exponentiated Exponential-Inverse Weibull Model: Theory and Application to COVID-19 Data in Saudi Arabia by Majdah Mohammed Badr, Ghaida Sobahi

“…The maximum likelihood (ML) estimator (MLE) approach is used to estimate the parameters. …”
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A Bayesian model for binary Markov chains by Souad Assoudou, Belkheir Essebbar

“…This note is concerned with Bayesian estimation of the transition probabilities of a binary Markov chain observed from heterogeneous individuals. …”
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Variable Selection of High-Dimensional Spatial Autoregressive Panel Models with Fixed Effects by Miaojie Xia, Yuqi Zhang, Ruiqin Tian

“…Then, a penalized quasi-maximum likelihood is developed for variable selection and parameter estimation in the transformed panel model. Under some regular conditions, the consistency and oracle properties of the proposed estimator are established. …”
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Payload Mass Identification of a Single-Link Flexible Arm Moving under Gravity: An Algebraic Identification Approach by Juan Carlos Cambera, Andres San-Millan, Vicente Feliu-Batlle

“…This identifier is capable of achieving robust and efficient mass estimates even in the presence of sensor noise. In order to highlight its performance, the proposed estimator is experimentally tested and compared with other classical methods in several situations that resemble the most typical operation of a manipulator.…”
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Effect of spontaneous activity on stimulus detection in a simple neuronal model by Marie Levakova

“…It is studied what level of a continuous-valued signal is optimally estimable on the basis of first-spike latency neuronal data. …”
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Conditional fluctuation theorems and entropy production for monitored quantum systems under imperfect detection by Mar Ferri-Cortés, José A. Almanza-Marrero, Rosa López, Roberta Zambrini, Gonzalo Manzano

“…This relation provides as a corollary an irreversibility estimator of dissipation using imperfect detection records that lower bounds the underlying entropy production at the level of visible trajectories. …”
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Recovering Decay Rates from Noisy Measurements with Maximum Entropy in the Mean by Henryk Gzyl, Enrique Ter Horst

“…The method is developed in the context on a concrete example: that of estimation of the parameter in an exponential distribution. …”
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Current Driver Design for Electromagnetic Coil Using Adaptive Active Disturbance Rejection Control by Hongtao Zhu, Xiaoting Rui, Fufeng Yang, Wei Zhu

“…The supervised recursive least squares method is proposed for real-time parameters estimation, in which the excitation signal variance is used to trigger the parameter estimator. …”
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U-Statistic for Multivariate Stable Distributions by Mahdi Teimouri, Saeid Rezakhah, Adel Mohammadpour

“…Asymptotic normality and consistency of the proposed U-statistic for the tail index are proved theoretically. The proposed estimator is used to estimate the spectral measure. …”
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Total Variation Regularization Algorithms for Images Corrupted with Different Noise Models: A Review by Paul Rodríguez

“…We also include the description of the maximum a posteriori (MAP) estimator for each model as well as a summary of general optimization procedures that are typically used to solve the TV problem.…”
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Numerical Study of Plasmonic Efficiency of Gold Nanostripes for Molecule Detection by Thomas Grosges, Dominique Barchiesi

“…An optimization scheme, including an adaptive remeshing process with error estimator, is used to solve the problem through a finite element method. …”
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Image Enhancement under Data-Dependent Multiplicative Gamma Noise by Jidesh Pacheeripadikkal, Bini Anattu

“…The third term is a reactive term which is derived based on the maximum a posteriori (MAP) estimator and this term helps the diffusive term to perform a Gamma distributive data-dependent multiplicative noise removal from images. …”
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Computational Procedure of Performance Assessment of Lifetime Index of Products for the Weibull Distribution with the Progressive First-Failure-Censored Sampling Plan by Ching-Wen Hong, Wen-Chuan Lee, Jong-Wuu Wu

“…This study will apply the large-sample theory to construct a maximum likelihood estimator (MLE) of CL with the progressive first-failure-censored sampling plan under the Weibull distribution. …”
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