Relevant bibliographies by topics / Time Estimation Method

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Time Estimation Method'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Time Estimation Method"

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XU, PENGCHENG, W. K. LI, and A. W. JAYAWARDENA. "NOISE LEVEL ESTIMATION FOR A CHAOTIC TIME SERIES." International Journal of Bifurcation and Chaos 22, no. 03 (2012): 1250052. http://dx.doi.org/10.1142/s0218127412500526.

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In this study, the correlation sum and the correlation integral for chaotic time series using the Supremum norm and the Euclidean norm are discussed. The correlation integrals are then used to develop governing equations for the correlation sum, noise level and correlation dimension in which the correlation dimension and the noise level are linearly dependent on each other. Some linear estimation methods for the noise level are then introduced by using these equations. The estimation methods are applied to four chaotic time series (two artificial and two real-world). By comparing the performan
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Ponomarenko, Vladimir, Elena Lapsheva, and Mikhail Prokhorov. "Estimation of delay times from time series of ring self-oscillatory time-delay systems." Information and Control Systems, no. 6 (December 27, 2022): 53–61. http://dx.doi.org/10.31799/1684-8853-2022-6-53-61.

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Introduction: The problem of delay time estimation in ring self-oscillatory time-delay systems arises in various fields of science and is of great importance in the study of real systems generating chaotic time series. Purpose: To conduct a comparative analysis of the operation of methods for the reconstruction of time-delay systems from chaotic time series in the absence and presence of additive noise. Methods: Methods for estimating the delay time according to the statistics of extrema, using the autocorrelation function and the method of order time asymmetry are used. Based on the latter me
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Hosoda, Shion, Tsukasa Fukunaga, and Michiaki Hamada. "Umibato: estimation of time-varying microbial interaction using continuous-time regression hidden Markov model." Bioinformatics 37, Supplement_1 (2021): i16—i24. http://dx.doi.org/10.1093/bioinformatics/btab287.

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Abstract Motivation Accumulating evidence has highlighted the importance of microbial interaction networks. Methods have been developed for estimating microbial interaction networks, of which the generalized Lotka–Volterra equation (gLVE)-based method can estimate a directed interaction network. The previous gLVE-based method for estimating microbial interaction networks did not consider time-varying interactions. Results In this study, we developed unsupervised learning-based microbial interaction inference method using Bayesian estimation (Umibato), a method for estimating time-varying micro
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Camargo-Trigueros, Eugenio, Nancy Visairo-Cruz, Ciro-Alberto Núñez-Gutiérrez, and Juan Segundo-Ramírez. "Partial Discharge Method for State-of-Health Estimation Validated by Real-Time Simulation." Processes 12, no. 11 (2024): 2389. http://dx.doi.org/10.3390/pr12112389.

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Accurate estimation of the state of health (SOH) of batteries for automotive applications, particularly in electric vehicle battery management systems (EV-BMS), remains a critical study area to ensure battery system availability. This paper proposes a comprehensive SOH estimation method that transcends traditional approaches based on estimating the available capacity using the integral of the battery current or estimating the increase in internal resistance. The SOH estimator employs a partial discharge method (PDM) and a linear state-of-charge (SOC) observer based on an equivalent electrical
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Arahal, Manuel R., Alfredo Pérez Vega-Leal, Manuel G. Satué, and Sergio Esteban. "Assessing SOC Estimations via Reverse-Time Kalman for Small Unmanned Aircraft." Energies 17, no. 20 (2024): 5161. http://dx.doi.org/10.3390/en17205161.

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This paper presents a method to validate state of charge (SOC) estimations in batteries for their use in remotely manned aerial vehicles (UAVs). The SOC estimation must provide the mission control with a measure of the available range of the aircraft, which is critical for extended missions such as search and rescue operations. However, the uncertainty about the initial state and depth of discharge during the mission makes the estimation challenging. In order to assess the estimation provided to mission control, an a posteriori re-estimation is performed. This allows for the assessment of esti
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Fan, Xiao Bin, and Pan Deng. "Study of Vehicle Sideslip Angle Real-Time Estimation Method." Advanced Materials Research 846-847 (November 2013): 26–29. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.26.

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In the vehicle stability control and other active safety systems, vehicle sideslip angle real-time estimation is necessary. However, the direct measurement of sideslip angle is more difficult or too costly, so it is often used in estimating methods. The vehicle sideslip angle of closed-loop Luenberger observer and Kalman observer were constructed based on two degrees of freedom bicycle model, as well as the direct integration method for large sideslip angle conditions. The comparative study showed that Kalman filtering estimation method and Luenberger estimation methods have better estimation
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Ding, Feilong, Cheng Chi, Yu Li, and Haining Huang. "Variational Bayesian Inference Time Delay Estimation for Passive Sonars." Journal of Marine Science and Engineering 11, no. 1 (2023): 194. http://dx.doi.org/10.3390/jmse11010194.

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In passive sonars, distance and depth estimation of underwater targets is often limited by the accuracy of time delay estimations. The estimation accuracy of the existing methods of time delay estimation is limited by the uniform discrete grid (signal sampling rate). When a true time delay is out of the grid, the estimation accuracy deteriorates due to the mismatch between the real-time delay and the discrete grid. This paper proposes a new method for time delay estimation, which realizes the time delay estimation under the framework of variational Bayesian inference. The proposed method is gr
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Kneip, Alois, Robin C. Sickles, and Wonho Song. "A NEW PANEL DATA TREATMENT FOR HETEROGENEITY IN TIME TRENDS." Econometric Theory 28, no. 3 (2012): 590–628. http://dx.doi.org/10.1017/s026646661100034x.

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This paper introduces a new estimation method for arbitrary temporal heterogeneity in panel data models. The paper provides a semiparametric method for estimating general patterns of cross-sectional specific time trends. The methods proposed in the paper are related to principal component analysis and estimate the time-varying trend effects using a small number of common functions calculated from the data. An important application for the new estimator is in the estimation of time-varying technical efficiency considered in the stochastic frontier literature. Finite sample performance of the es
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Pilo de la Fuente, Eduardo, Jaime Gros, María Antonia Simón Rodríguez, Ana-Isabel Velasco, and Carmen Iniesta. "Novel Real-Time Acoustic Power Estimation for Dynamic Thermoacoustic Control." Applied Sciences 15, no. 5 (2025): 2838. https://doi.org/10.3390/app15052838.

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This paper presents a new procedure for the real-time processing and analysis of data from thermoacoustic systems. The approach focuses on continuously acquiring and adjusting measurements of acoustic wave pressure, enabling the instantaneous estimation of acoustic power. This is crucial for real-time control and decision-making, especially in applications that require rapid power estimation, such as the control loop implementation in thermoacoustic engines, where conditions are constantly changing and dynamic adaptation is essential. Two methods for estimating the power delivered to the load
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Khalid, Muhammad, Abid Muhammad Khan, Muhammad Rauf, Muhammad Taha Jilani, and Sheraz Afzal. "FPGA-Based Time-Domain Channel Estimation in Gaussian Mixture Model." Mathematical Problems in Engineering 2021 (May 3, 2021): 1–12. http://dx.doi.org/10.1155/2021/5596301.

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The performance of time-domain channel estimation deteriorates due to the presence of Gaussian mixture model (GMM) noise, which results in high mean squared error (MSE) as a challenging issue. The performance of the estimator further decreases when the complexity of the estimator is high due to the high convergence rate. In this paper, an optimized channel estimation method is proposed with low complexity and high accuracy in the GMM environment. In this channel estimation, an improved Gauss-Seidel iterative method is utilized with a minimum number of iterations. The convergence rate of the Ga
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Dissertations / Theses on the topic "Time Estimation Method"

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Azizsoltani, Hamoon, and Hamoon Azizsoltani. "Risk Estimation of Nonlinear Time Domain Dynamic Analyses of Large Systems." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/624545.

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A novel concept of multiple deterministic analyses is proposed to design safer and more damage-tolerant structures, particularly when excited by dynamic including seismic loading in time domain. Since the presence of numerous sources of uncertainty cannot be avoided or overlooked, the underlying risk is estimated to compare design alternatives. To generate the implicit performance functions explicitly, the basic response surface method is significantly improved. Then, several surrogate models are proposed. The advanced factorial design and Kriging method are used as the major building blocks.
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Zhang, Yuqing. "Fixed-time algebraic distributed state estimation for linear systems." Electronic Thesis or Diss., Bourges, INSA Centre Val de Loire, 2025. http://www.theses.fr/2025ISAB0001.

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Au cours des dernières décennies, le déploiement massif de capteurs embarqués en réseau dotés des capacités de communication dans des systèmes à grande échelle a suscité un intérêt croissant de la part des chercheurs dans le domaine de l’estimation distribuée. Cette thèse vise à développer une méthode d’estimation d’état distribuée algébrique à temps fixe pour les systèmes linéaires à temps variant d’ordre entier et les systèmes linéaires à temps invariant d’ordre fractionnaire dans des environnements bruités, en concevant un ensemble d’estimateurs locaux d’ordre réduit au niveau des capteurs
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Kukreja, Sunil L. "Method for estimation of continuous-time models of linear time-invariant systems via the bilinear transform." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ29861.pdf.

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Kukreja, Sunil L. "Method for estimation of continuous-time models of linear time-invariant systems via the bilinear transform." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27486.

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In this thesis, we develop a technique which is capable of identifying and rejecting the sampling zeros for continuous-time linear time-invariant systems. The method makes use of the MOESP family of identification algorithms (59), (60), (61), (62) to obtain a discrete-time model of the system. Since, the structure and parameters of discrete-time models are difficult to relate to the underlying continuous-time system of interest it is necessary to compute the continuous-time equivalent from the discrete-time model. The bilinear transform (19), (54) does this effectively but also converts extran
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Garazdiuk, M. S., V. T. Bachynskiy, O. Ya Vanchuliak, and I. Bezhenar. "Spectrophotometry in the ultraviolet range as a method of time since death estimation." Thesis, Матеріали 99 підсумкової науково-практичної конференції професорсько-викладацького персоналу ВДНЗ України «Буковинський державний медичний університет». – Чернівці, 2018. – С. 5, 2018. http://dspace.bsmu.edu.ua:8080/xmlui/handle/123456789/13659.

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Time since death estimation is an impotant and not completely resolved issues of forensic practice. The analysis of cerebrospinal fluid as a stable and separated from the action of environmental medium factors can be used for solving of this problem.
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Hadley, Jennifer Lyn. "Near real-time runoff estimation using spatially distributed radar rainfall data." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/346.

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The purpose of this study was to evaluate variations of the Natural Resources Conservation Service (NRCS) curve number (CN) method for estimating near real-time runoff for naturalized flow, using high resolution radar rainfall data for watersheds in various agro-climatic regions of Texas. The CN method is an empirical method for calculating surface runoff which has been tested on various systems over a period of several years. Many of the findings of previous studies indicate the need to develop variations of this method to account for regional and seasonal changes in weather patterns and la
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Shen, Luou. "Freeway Travel Time Estimation and Prediction Using Dynamic Neural Networks." FIU Digital Commons, 2008. http://digitalcommons.fiu.edu/etd/17.

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Providing transportation system operators and travelers with accurate travel time information allows them to make more informed decisions, yielding benefits for individual travelers and for the entire transportation system. Most existing advanced traveler information systems (ATIS) and advanced traffic management systems (ATMS) use instantaneous travel time values estimated based on the current measurements, assuming that traffic conditions remain constant in the near future. For more effective applications, it has been proposed that ATIS and ATMS should use travel times predicted for short-te
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Lee, Joon-Hee. "Rank-Date Distribution Method (R-D Method) For Daily Time-Series Bayesian Networks And Total Maximum Daily Load Estimation." DigitalCommons@USU, 2008. https://digitalcommons.usu.edu/etd/132.

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Daily time series-based models are required to estimate the higher frequency fluctuations of nutrient loads and concentrations. Some mechanistic mathematical models can provide daily time series outputs of nutrient concentrations but it is difficult to incorporate non-numerical data, such as management scenarios, to mechanistic mathematical models. Bayesian networks (BNs) were designed to accept and process inputs of varied types of both numerical and non-numerical inputs. A Rank-Data distribution method (R-D method) was developed to provide large time series of daily predicted flows and Total
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Nyman, Lina. "Estimation of Aerodynamic Parameters in Real-Time : Implementation and Comparison of a Sequential Frequency Domain Method and a Batch Method." Thesis, Linköpings universitet, Fluida och mekatroniska system, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-132807.

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The flight testing and evaluation of collected data must be efficient during intensive flight-test programs such as the ones conducted during development of new aircraft. The aim of this thesis has thus been to produce a first version of an aerodynamic derivative estimation program that is to be used during real-time flight tests. The program is to give a first estimate of the aerodynamic derivatives as well as check the quality of the data collected and thus serve as a decision support during tests. The work that has been performed includes processing of data in order to use it in computation
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Knezevic, Aleksa. "Real-time power system impedance estimation for DG applications: Using PV-inverter based harmonic injection method." Master's thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/25325.

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On-line power system (PS) Thévenin equivalent impedance (TEI) estimation involves the reduction of the PS's complex circuit into a simple form that provides valuable insight into its state and behaviour. It finds application in numerous areas such as voltage stability monitoring and islanding detection. In the context of distributed generation (DG), on-line TEI estimation can be easily implemented in existing hardware to add functionality and improve the operation of power converters – the key components of DG systems. Two distinct methods of on-line PS TEI estimation exist. The passive method
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Books on the topic "Time Estimation Method"

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Colombo, A. G. BANPES: A conversational computer programme for point and interval estimation of time-dependent failure rateby a Bayesian nonparametric method. Commission of the European Communities, 1986.

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Bee Dagum, Estela, and Silvia Bianconcini. Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31822-6.

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A, Whitmore Stephen, and Hugh L. Dryden Flight Research Center., eds. Real-time method for estimating viscous forebody drag coefficients. National Aeronautics and Space Administration, Dryden Flight Research Center, 2000.

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A, Whitmore Stephen, and Hugh L. Dryden Flight Research Center., eds. Real-time method for estimating viscous forebody drag coefficients. National Aeronautics and Space Administration, Dryden Flight Research Center, 2000.

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A, Whitmore Stephen, and Hugh L. Dryden Flight Research Center., eds. Real-time method for estimating viscous forebody drag coefficients. National Aeronautics and Space Administration, Dryden Flight Research Center, 2000.

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Mekaiel, Mohammed M. Bootstrap methods and parameter estimation in time series threshold modelling. University of Salford, 1995.

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Gibson, J. S. Computational methods for optimal linear-quadratic compensators for infinite dimensional discrete-time systems. ICASE, 1986.

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Ray, George, Bush Brian, National Renewable Energy Laboratory (U.S.), and Colorado Renewable Energy Conference (2009), eds. Estimating solar PV output using modern space/time geostatistics. National Renewable Energy Laboratory, 2009.

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Xiaolei, Zhu, and Research Institute for Advanced Computer Science (U.S.), eds. Stability and error estimation for component adaptive grid methods. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1994.

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Mella-Barral, Pierre. New methods for estimating nonlinear continuous time interest rate processes. Department of Applied Economics, University of Cambridge, 1994.

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Book chapters on the topic "Time Estimation Method"

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Hansen, Lars Peter. "Generalized method of moments estimation." In Macroeconometrics and Time Series Analysis. Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230280830_13.

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Bee Dagum, Estela, and Silvia Bianconcini. "Linear Filters Seasonal Adjustment Methods: Census Method II and Its Variants." In Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31822-6_4.

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Seong, Junyeong, Sungjun Park, and Kunsoo Huh. "Robust Lane Keeping Control with Estimation of Cornering Stiffness and Model Uncertainty." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_39.

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AbstractThis paper introduces an adaptive lane-keeping control strategy that adapts to varying cornering stiffness while ensuring robustness against uncertainties. The system consists of three blocks: an Interacting Multiple Model (IMM) cornering stiffness estimator, a cornering stiffness uncertainty estimator, and a Robust Model Predictive Controller (RMPC). Improvements in estimation accuracy are achieved through a novel IMM probability derivation method, and the uncertainty estimator utilizes the IMM probability matrix to obtain reliable uncertainty boundaries. Real-time cornering stiffness
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Gao, Junchai, Xiaoqian Zhang, Hao Sun, Jiansheng Zhang, and Lijuan Men. "SLAM Estimation Method with Time-Varying Noise Parameters." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0115-6_179.

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Ruano, Maria G., Amir Sadat Fazel, Ana Jiménez Martín, António Ruano, and Juan Jesús García Domínguez. "Pulse Transition Time Method for Unobtrusive Blood Pressure Estimation." In IFMBE Proceedings. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31635-8_183.

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Xu, Jie, Yong Zhang, Li Chao, and Chunxiao Xing. "STDR: A Deep Learning Method for Travel Time Estimation." In Database Systems for Advanced Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18579-4_10.

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Gao, Zhan, and M. Hashem Pesaran. "Identification and estimation of categorical random coefficient models." In Advanced Studies in Theoretical and Applied Econometrics. Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-48385-1_5.

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AbstractThis paper proposes a linear categorical random coefficient model, in which the random coefficients follow parametric categorical distributions. The distributional parameters are identified based on a linear recurrence structure of moments of the random coefficients. A generalized method of moments estimation procedure is proposed, also employed by Peter Schmidt and his coauthors to address heterogeneity in time effects in panel data models. Using Monte Carlo simulations, we find that moments of the random coefficients can be estimated reasonably accurately, but large samples are requi
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Liu, Wei, Jiayu He, Haiming Wang, Huaijie Zhu, and Jian Yin. "A Novel Road Segment Representation Method for Travel Time Estimation." In Database Systems for Advanced Applications. DASFAA 2021 International Workshops. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73216-5_27.

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Evensen, Geir, Femke C. Vossepoel, and Peter Jan van Leeuwen. "Representer Method with an Ekman-Flow Model." In Springer Textbooks in Earth Sciences, Geography and Environment. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96709-3_17.

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AbstractEknes and Evensen (1997) solved the weak-constraint variational problem for a linear Ekman-flow model using the representer method. They computed the weak constraint solution for a long time series of velocity measurements. Additionally, they considered a parameter-estimation problem which rendered the problem nonlinear.
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Ma, Youdao, Tiancheng Wang, Zhenhua Wang, and Yi Shen. "An Ellipsoid-Based Interval Estimation Method for Continuous-Time Switched Systems." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6613-2_219.

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Conference papers on the topic "Time Estimation Method"

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Dai, Ximei, Zhouwei Fan, and Meng Zhao. "Time Performance Estimation Method for Civil Aircraft ETOPS Time-limited Systems." In 2024 10th Asia Conference on Mechanical Engineering and Aerospace Engineering (MEAE). IEEE, 2024. https://doi.org/10.1109/meae62008.2024.11026174.

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Umekawa, KoKi, and Ryozo Kiyohara. "Waiting Time Estimation Method Using BLE and 2D-LiDAR." In 2024 17th International Congress on Advanced Applied Informatics (IIAI-AAI-Winter). IEEE, 2024. https://doi.org/10.1109/iiai-aai-winter65925.2024.00022.

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Fan, Caizhi, Zikai Zhong, Hao Yuan, and Haibo Song. "A Visual Relative Motion Estimation Method for Inner Formation Satellite*." In 2024 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE, 2024. http://dx.doi.org/10.1109/rcar61438.2024.10670812.

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Fan, Dingge, Dawei Pi, Pengyu Xue, Xian Li, Shilong Tao, and Xianhui Wang. "Real-Time Estimation Method of Heavy Vehicle Mass and Gradient." In 2024 IEEE 22nd International Conference on Industrial Informatics (INDIN). IEEE, 2024. https://doi.org/10.1109/indin58382.2024.10774300.

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Tian, Rui, Bowen Liu, and Xue Bai. "VDTTE: A Vessel Travel Time Estimation Method Based On DeepTTE." In 2024 6th International Conference on Frontier Technologies of Information and Computer (ICFTIC). IEEE, 2024. https://doi.org/10.1109/icftic64248.2024.10913206.

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Kolansky, Jeremy, Corina Sandu, Theunis Botha, and Schalk Els. "Real-Time Vehicle Parameters Estimation." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12083.

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Parameter estimation for vehicle systems is in general a challenging topic from both sensor instrumentation and modeling perspectives. Modeling vehicle systems is a rather complex process, especially considering the numerous unknown effects on the system such as, for example, aerodynamic effects, road grade and bank angles, roll and pitch kinematics, and suspension nonlinearities. This study develops a method that is able to estimate several vehicle parameters with high accuracy for regular driving behavior. The parameter estimations are performed using the polynomial chaos-based extended Kalm
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Saetchnikov, Vladimir A., Elina A. Tcherniavskaia, and Tatjana P. Yanukovich. "Estimation of BOFDA method measurement time." In Lasers for Measurements and Information Transfer 2002, edited by Vadim E. Privalov. SPIE, 2003. http://dx.doi.org/10.1117/12.501550.

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Huang, Xiaoyu, and Junmin Wang. "Payload Parameter Real-Time Estimation for Lightweight Vehicles." In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-6045.

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This paper proposes a payload parameter estimation method for lightweight vehicles (LWVs), whose dynamics and control are substantially affected by their payload variations due to the LWVs’ significantly reduced sizes and weights. Accurate and real-time estimation of payload parameters, including payload mass and its onboard planar location, will be helpful for controller designs and load condition monitoring. The proposed payload parameter estimator (PPE) is divided into two parts: tire nominal normal force estimator (NNFE) based on a recursive least squares (RLS) algorithm using signals meas
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Chen, Sunjie, Hongbin Ma, and Cong Han. "A Real-time Hand Postures Estimation Method." In 2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2017. http://dx.doi.org/10.1109/cyber.2017.8446203.

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Feng, W., T. Hu, Y. Zhang, and F. C. Yao. "Time-varying Wavelet Estimation by Hybrid Method." In 77th EAGE Conference and Exhibition 2015. EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201413421.

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Reports on the topic "Time Estimation Method"

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Chin, Toshio M., William C. Karl, and Alan S. Willsky. A Distributed and Iterative Method for Square Root Filtering in Space-Time Estimation. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada459794.

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Luceadams, Matthew. Time-average holographic estimation of Poisson's ratio by Cornu's method from mode shapes. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/1992232.

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Gevorgian, Vahan. Highly Accurate Method for Real-Time Active Power Reserve Estimation for Utility-Scale Photovoltaic Power Plants. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1505550.

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Pulido-Mahecha, Karen L., Sergio Restrepo-Ángel, and Franky Juliano Galeano-Ramírez†. Measuring the Unmeasurable: Unraveling the complexities of real-time output gap estimation. Banco de la República, 2024. http://dx.doi.org/10.32468/be.1284.

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This paper evaluates seven output gap models for real-time estimates, based on three criteria: stability of estimations on new observations, data revisions and/or methodological changes; inflation forecasting accuracy; and potential output response to structural economic shocks. Results confirm no single model outperforms across all criteria. Structural VARs exhibit superior inflation forecasts but show high instability, while semi-structural models produce more theoretically consistent potential output responses. To overcome this trade-off, we propose a novel clustering approach to pool model
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Hughes, J. C., A. F. Henry, D. D. Lanning, and J. A. Bernard. An experimental evaluation of the instrumented flux synthesis method for the real-time estimation of reactivity. Final report. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/167217.

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Yang, Yu, Hen-Geul Yeh, and Cesar Ortiz. Battery Management System Development for Electric Vehicles and Fast Charging Infrastructure Improvement. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2325.

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The electric vehicle (EV) has become increasingly popular due to its being zero-emission. However, a significant challenge faced by EV drivers is the range anxiety associated with battery usage. Addressing this concern, this project develops a more efficient battery management system (BMS) for electric vehicles based on a real-time, state-of-charge (SOC) estimation. The proposed study delivers three modules: (1) a new equivalent circuit model (ECM) for lithium-ion batteries, (2) a new SOC estimator based on the moving horizon method, and (3) an on-board FPGA implementation of the classical Cou
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DiGrande, Laura, Sue Pedrazzani, Elizabeth Kinyara, et al. Field Interviewer– Administered Dietary Recalls in Participants’ Homes: A Feasibility Study Using the US Department of Agriculture’s Automated Multiple-Pass Method. RTI Press, 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0045.2105.

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Objective: The purpose of this study was to assess the feasibility of administering the Automated Multiple-Pass Method (AMPM), a widely used tool for collecting 24-hour dietary recalls, in participants’ homes by field interviewers. Design: The design included computer-assisted personal interviews led by either a nutritionist (standard) or field interviewer. Portion estimators tested were a set of three-dimensional food models (standard), a two-dimensional food model booklet, or a tablet with digital images rendered via augmented reality. Setting: Residences in central North Carolina. Participa
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Singh, Anjali. Estimating the Chiasma Frequency in Diplotene-Diakinesis Stage. ConductScience, 2020. http://dx.doi.org/10.55157/cs20200925.

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Chiasma is the point of crossing over or site where the exchange of genetic material takes place between two homologous, non-sister chromatids. The crossover occurs in the pachytene stage, however, it is observed in the diplotene stage of meiosis-I[2]. The cross-over between the two homologs also creates a new combination of parental genes, forming recombinants. The recombination of the genes causes variation in the population and exert a profound effect on genomic diversity and evolution. Meiotic recombination and variation in the population have been a concern for scientists to understand th
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Brosh, Arieh, David Robertshaw, Yoav Aharoni, Zvi Holzer, Mario Gutman, and Amichai Arieli. Estimation of Energy Expenditure of Free Living and Growing Domesticated Ruminants by Heart Rate Measurement. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7580685.bard.

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Research objectives were: 1) To study the effect of diet energy density, level of exercise, thermal conditions and reproductive state on cardiovascular function as it relates to oxygen (O2) mobilization. 2) To validate the use of heart rate (HR) to predict energy expenditure (EE) of ruminants, by measuring and calculating the energy balance components at different productive and reproductive states. 3) To validate the use of HR to identify changes in the metabolizable energy (ME) and ME intake (MEI) of grazing ruminants. Background: The development of an effective method for the measurement of
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Chandrayadula, Tarun K. Travel Time Estimation Methods for Mode Tomography. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada542281.

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