Relevant bibliographies by topics / State estimation theory

Contents

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

Academic literature on the topic 'State estimation theory'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2023

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Journal articles on the topic "State estimation theory"

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Rogers, Jonathan, and Mark Costello. "Smart Projectile State Estimation Using Evidence Theory." Journal of Guidance, Control, and Dynamics 35, no. 3 (2012): 824–33. http://dx.doi.org/10.2514/1.55652.

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Wang, Alan P. "Scattering theory and linear state-space estimation." Journal of Mathematical Analysis and Applications 120, no. 2 (1986): 397–415. http://dx.doi.org/10.1016/0022-247x(86)90165-4.

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Rodríguez-García, Marco A., Isaac Pérez Castillo, and P. Barberis-Blostein. "Efficient qubit phase estimation using adaptive measurements." Quantum 5 (June 4, 2021): 467. http://dx.doi.org/10.22331/q-2021-06-04-467.

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Estimating correctly the quantum phase of a physical system is a central problem in quantum parameter estimation theory due to its wide range of applications from quantum metrology to cryptography. Ideally, the optimal quantum estimator is given by the so-called quantum Cramér-Rao bound, so any measurement strategy aims to obtain estimations as close as possible to it. However, more often than not, the current state-of-the-art methods to estimate quantum phases fail to reach this bound as they rely on maximum likelihood estimators of non-identifiable likelihood functions. In this work we thoro
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Cicala, Marco, Egidio D’Amato, Immacolata Notaro, and Massimiliano Mattei. "Scalable Distributed State Estimation in UTM Context." Sensors 20, no. 9 (2020): 2682. http://dx.doi.org/10.3390/s20092682.

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This article proposes a novel approach to the Distributed State Estimation (DSE) problem for a set of co-operating UAVs equipped with heterogeneous on board sensors capable of exploiting certain characteristics typical of the UAS Traffic Management (UTM) context, such as high traffic density and the presence of limited range, Vehicle-to-Vehicle communication devices. The proposed algorithm is based on a scalable decentralized Kalman Filter derived from the Internodal Transformation Theory enhanced on the basis of the Consensus Theory. The general benefit of the proposed algorithm consists of,
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Xu, Ying, Wenjie Zhang, Wentao Tang, et al. "Estimation of Vehicle State Based on IMM-AUKF." Symmetry 14, no. 2 (2022): 222. http://dx.doi.org/10.3390/sym14020222.

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Establishing a symmetrical model of surrounding vehicles and accurately obtaining the driving state of the surrounding vehicles in the driving environment can improve the safety of driving, which is an important issue that needs to be considered in the automatic driving system or auxiliary driving system. Therefore, we propose an adaptive unscented Kalman filter algorithm based on Interacting Multiple Model (IMM) theory to estimate the state of target vehicle in the high-speed driving environment. To be specific, we use the Constant Turn Rate and Acceleration (CTRA) theory to establish the tar
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Chan, Hock Peng, Chiang-Wee Heng, and Ajay Jasra. "Theory of segmented particle filters." Advances in Applied Probability 48, no. 1 (2016): 69–87. http://dx.doi.org/10.1017/apr.2015.7.

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AbstractWe study the asymptotic behavior of a new particle filter approach for the estimation of hidden Markov models. In particular, we develop an algorithm where the latent-state sequence is segmented into multiple shorter portions, with an estimation technique based upon a separate particle filter in each portion. The partitioning facilitates the use of parallel processing, which reduces the wall-clock computational time. Based upon this approach, we introduce new estimators of the latent states and likelihood which have similar or better variance properties compared to estimators derived f
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Zhang, Mingyue, and Xiaobin Fan. "Review on the State of Charge Estimation Methods for Electric Vehicle Battery." World Electric Vehicle Journal 11, no. 1 (2020): 23. http://dx.doi.org/10.3390/wevj11010023.

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Battery technology has been one of the bottlenecks in electric cars. Whether it is in theory or in practice, the research on battery management is extremely important, especially for battery state-of-charge estimation. In fact, the battery has a strong time-varying and non-linear properties, which are extremely complex. Therefore, accurately estimating the state of charge is a challenging task. This paper reviews various representative patents and papers related to the state of charge estimation methods for an electric vehicle battery. According to their theoretical and experimental characteri
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Xia, Shiwei, Qian Zhang, Jiangping Jing, et al. "Distributed State Estimation of Multi-region Power System based on Consensus Theory." Energies 12, no. 5 (2019): 900. http://dx.doi.org/10.3390/en12050900.

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Effective state estimation is critical to the security operation of power systems. With the rapid expansion of interconnected power grids, there are limitations of conventional centralized state estimation methods in terms of heavy and unbalanced communication and computation burdens for the control center. To address these limitations, this paper presents a multi-area state estimation model and afterwards proposes a consensus theory based distributed state estimation solution method. Firstly, considering the nonlinearity of state estimation, the original power system is divided into several n
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AHN, CHOON KI. "DESIGN OF STATE ESTIMATOR FOR SWITCHED HOPFIELD NEURAL NETWORKS WITH TIME-DELAY." Journal of Circuits, Systems and Computers 20, no. 04 (2011): 657–66. http://dx.doi.org/10.1142/s0218126611007529.

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In this paper, the delay-dependent state estimation problem for switched Hopfield neural networks with time-delay is investigated. Based on the Lyapunov–Krasovskii stability theory, a new delay-dependent state estimator for switched Hopfield neural networks is established to estimate the neuron states through available output measurements such that the estimation error system is asymptotically stable. The gain matrix of the proposed estimator is characterized in terms of the solution to a linear matrix inequality (LMI), which can be checked readily by using some standard numerical packages. An
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Verrall, R. J. "A state space representation of the chain ladder linear model." Journal of the Institute of Actuaries 116, no. 3 (1989): 589–609. http://dx.doi.org/10.1017/s0020268100036714.

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In a recent paper, Kremer (1982) has shown how the classical chain ladder method for estimating outstanding claims on general insurance business is strongly related to a two-way analysis of variance. It can be argued that the estimation methods in a standard chain ladder analysis are inefficient from a statistical viewpoint and that an analysis of variance is more appropriate. Once the chain ladder method is identified with a standard statistical method, the well-known statistical theory can be used to the advantage of the claims reserver. For a further discussion of the use of main stream sta
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Dissertations / Theses on the topic "State estimation theory"

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Kubitzki, Marcus. "State and Parameter Estimation in Quantum Theory." [S.l. : s.n.], 2003. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10806359.

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Azzam, M. E. H. "Developments in decomposition methods for power system state estimation." Thesis, Brunel University, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.355486.

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Hayashi, Masahito. "Asymptotic estimation theory for a finite dimensional pure state model." 京都大学 (Kyoto University), 1999. http://hdl.handle.net/2433/181932.

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Nearing, Grey Stephen. "Diagnostics and Generalizations for Parametric State Estimation." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/293533.

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This dissertation is comprised of a collection of five distinct research projects which apply, evaluate and extend common methods for land surface data assimilation. The introduction of novel diagnostics and extensions of existing algorithms is motivated by an example, related to estimating agricultural productivity, of failed application of current methods. We subsequently develop methods, based on Shannon's theory of communication, to quantify the contributions from all possible factors to the residual uncertainty in state estimates after data assimilation, and to measure the amount of infor
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Al-Takrouri, Saleh Othman Saleh Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Robust state estimation and model validation techniques in computer vision." Publisher:University of New South Wales. Electrical Engineering & Telecommunications, 2008. http://handle.unsw.edu.au/1959.4/41002.

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The main objective of this thesis is to apply ideas and techniques from modern control theory, especially from robust state estimation and model validation, to various important problems in computer vision. Robust model validation is used in texture recognition where new approaches for classifying texture samples and segmenting textured images are developed. Also, a new model validation approach to motion primitive recognition is demonstrated by considering the motion segmentation problem for a mobile wheeled robot. A new approach to image inpainting based on robust state estimation is propo
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Malyavej, Veerachai Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Robust control and state estimation via limited capacity communication networks." Awarded by:University of New South Wales. Electrical Engineering and Telecommunications, 2006. http://handle.unsw.edu.au/1959.4/23981.

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Telecommunication networks become major parts in modern complex control systems recently. They provide many advantages over conventional point-to-point connections, such as the simplification on installation and maintenance with comparatively low cost and the nature requirement of wireless communication in remote control systems. In practice, limited resource networks are shared by multiple controllers, sensors and actuators, and they may need to serve some other information unrelated to control purpose. Consequently, the control system design in networked control systems should be revised by
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Xiong, Rentian. "In situ sensing for chemical vapor deposition based on state estimation theory." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/22711.

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Thesis (Ph. D.)--Chemical and Biomolecular Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Gallivan, Martha; Committee Member: Ferguson, Ian; Committee Member: Henderson, Cliff; Committee Member: Hess, Dennis; Committee Member: Lee, Jay.
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Hansen, Charles William. "Model enhancements for state estimation in electric power systems." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/15611.

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Porta, Mana Piero Giovanni Luca. "Studies in plausibility theory, with applications to physics." Doctoral thesis, Kista : [Mikroelektronik och tillämpad fysik Microelectronics and Applied Physics, Kungliga Tekniska högskolan], 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4421.

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Roth, Michael. "Advanced Kalman Filtering Approaches to Bayesian State Estimation." Doctoral thesis, Linköpings universitet, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-134867.

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Bayesian state estimation is a flexible framework to address relevant problems at the heart of existing and upcoming technologies. Application examples are obstacle tracking for driverless cars and indoor navigation using smartphone sensor data. Unfortunately, the mathematical solutions of the underlying theory cannot be translated to computer code in general. Therefore, this thesis discusses algorithms and approximations that are related to the Kalman filter (KF). Four scientific articles and an introduction with the relevant background on Bayesian state estimation theory and algorithms are i
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Books on the topic "State estimation theory"

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Matteo, Paris, and Řeháček Jaroslav, eds. Quantum state estimation. Springer, 2004.

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author, Dunn K.-P. (Keh-Ping), ed. Applied state estimation and association. MIT Press, 2015.

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Abur, Ali. Power system state estimation: Theory and implementation. Marcel Dekker, 2004.

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Chernousʹko, F. L. State estimation for dynamic systems. CRC Press, 1994.

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der, Heijden Ferdinand van, ed. Classification, parameter estimation, and state estimation: An engineering approach using MATLAB. Wiley, 2004.

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Gershon, Eli. Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems. Springer London, 2013.

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Belvin, W. Keith. On the state estimation of structures with second order observers. National Aeronautics and Space Administration, Langley Research Center, 1989.

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Monticelli, A. State estimation in electric power systems: A generalized approach. Kluwer Academic Publishers, 1999.

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Vaughn, Gregory M. Hybrid state estimators for the control of remotely operated underwater vehicles. Woods Hole Oceanographic Institution, 1988.

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Jaulin, Luc. Applied Interval Analysis: With Examples in Parameter and State Estimation, Robust Control and Robotics. Springer London, 2001.

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Book chapters on the topic "State estimation theory"

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Yan, Liping, Lu Jiang, and Yuanqing Xia. "State Estimation of Asynchronous Multirate Multisensor Systems." In Multisensor Fusion Estimation Theory and Application. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9426-7_7.

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Yan, Liping, Lu Jiang, and Yuanqing Xia. "State Estimation for Multirate Systems with Unreliable Measurements." In Multisensor Fusion Estimation Theory and Application. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9426-7_5.

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Naifar, Omar, Assaad Jmal, Abdellatif Ben Makhlouf, Nabil Derbel, and Mohamed Ali Hammami. "State Estimation for Fractional-Order Systems." In Fractional Order Systems—Control Theory and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71446-8_4.

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Giua, Alessandro. "State Estimation and Fault Detection Using Petri Nets." In Applications and Theory of Petri Nets. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21834-7_3.

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Afanas’ev, V. N., V. B. Kolmanovskii, and V. R. Nosov. "Optimal Estimation of the State of the System." In Mathematical Theory of Control Systems Design. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-017-2203-2_11.

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Menhaj, M. B., and F. Rajaii Salmasi. "A novel neurocomputing approach to nonlinear stochastic state estimation." In Computational Intelligence Theory and Applications. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-62868-1_97.

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del Pino Saavedra Hernández, Aitor, Javier J. Sánchez Medina, and Luis Moraine-Matias. "A Simple Classification Approach to Traffic Flow State Estimation." In Computer Aided Systems Theory – EUROCAST 2017. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74727-9_52.

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Poznyak, Alex S. "Stochastic Sliding Mode Control and State Estimation." In Advances in Variable Structure Systems and Sliding Mode Control—Theory and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62896-7_3.

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Weidemann, Dirk, and Edmond Skeli. "Multiple-Model Estimation Applied to Unequal, Heterogeneous State Space Models." In Computer Aided Systems Theory – EUROCAST 2019. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45096-0_2.

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Usher, Dan. "The Rise and Fall of the Public Sector in the Estimation of the Economists." In Economic Theory, Welfare and the State. Palgrave Macmillan UK, 1990. http://dx.doi.org/10.1007/978-1-349-10911-1_3.

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Conference papers on the topic "State estimation theory"

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Bashash, Saeid, and Hosam K. Fathy. "Battery State of Health and Charge Estimation Using Polynomial Chaos Theory." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-4088.

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In this effort, we use the generalized Polynomial Chaos theory (gPC) for the real-time state and parameter estimation of electrochemical batteries. We use an equivalent circuit battery model, comprising two states and five parameters, and formulate the online parameter estimation problem using battery current and voltage measurements. Using a combination of the conventional recursive gradient-based search algorithm and gPC framework, we propose a novel battery parameter estimation strategy capable of estimating both battery state-of-charge (SOC) and parameters related to battery health, e.g.,
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Ozel, Omur, and Venkat Anantharam. "State estimation in energy harvesting systems." In 2016 Information Theory and Applications (ITA). IEEE, 2016. http://dx.doi.org/10.1109/ita.2016.7888133.

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Alexander, Eugene J., and Thomas P. Andriacchi. "State Estimation Theory in Human Movement Analysis." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0157.

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Abstract This work describes the application of state estimation theory to the analysis of skeletal movement based on markers placed on the skin. Skin-based retro-reflective markers contain error introduced by the non-rigidity of the limb segment. A technique for obtaining an optimal estimate of skeletal motion from skin-based marker data is presented.
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Rogers, Jonathan, and Mark Costello. "Smart Projectile State Estimation Using Evidence Theory." In AIAA Atmospheric Flight Mechanics Conference. American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-6337.

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Enomura, Akihiro, Toru Abe, and Takuo Suganuma. "Pedestrian Tracking with Occlusion State Estimation." In 15th International Conference on Computer Vision Theory and Applications. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0009151507040713.

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Rose, Christopher. "State estimation, wireless tropes, demons and uncertainty." In 2016 IEEE International Symposium on Information Theory (ISIT). IEEE, 2016. http://dx.doi.org/10.1109/isit.2016.7541727.

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Leite, Jonatas Boas, and Jose Roberto Sanches Mantovani. "Distribution system state estimation using the Hamiltonian cycle theory." In 2016 IEEE Power and Energy Society General Meeting (PESGM). IEEE, 2016. http://dx.doi.org/10.1109/pesgm.2016.7741360.

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Tian, Wei, and Hsiao-Dong Chiang. "Toward User-Preference Enabling State Estimation: Theory and Method." In 2021 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2021. http://dx.doi.org/10.1109/pesgm46819.2021.9637917.

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Leong, Alex S., Subhrakanti Dey, and Jamie S. Evans. "Power efficient state estimation using multiple sensors." In 2008 International Symposium on Information Theory and Its Applications (ISITA). IEEE, 2008. http://dx.doi.org/10.1109/isita.2008.4895539.

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Karlgaard, Christopher D., and Haijun Shen. "Desensitized divided difference filtering for induction motor state estimation." In 2012 Southeastern Symposium on System Theory (SSST). IEEE, 2012. http://dx.doi.org/10.1109/ssst.2012.6195121.

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Reports on the topic "State estimation theory"

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Dejene Mamo, Bekana. The Impact of Intergovernmental Transfers on Fiscal Behaviour of Local Governments in Ethiopia. Institute of Development Studies (IDS), 2020. http://dx.doi.org/10.19088/ictd.2020.001.

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This paper examines the effect of intergovernmental fiscal transfers on the fiscal behaviour of local governments in Ethiopia for the period 2004-2018. The empirical findings suggest that central government grants bolster state-level employment and expenditure. However, grants from the central government to states do not crowd out state-level revenue collection. Hence, this paper argues that fiscal decentralisation in Ethiopia has mostly, at least in theory, taken the form of devolution of the power to tax and spend public money. However, on average state-level revenue can only finance up to 2
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Hunter, Margaret, Jijo K. Mathew, Ed Cox, Matthew Blackwell, and Darcy M. Bullock. Estimation of Connected Vehicle Penetration Rate on Indiana Roadways. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317343.

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Over 400 billion passenger vehicle trajectory waypoints are collected each month in the United States. This data creates many new opportunities for agencies to assess operational characteristics of roadways for more agile management of resources. This study compared traffic counts obtained from 24 Indiana Department of Transportation traffic counts stations with counts derived by the vehicle trajectories during the same periods. These stations were geographically distributed throughout Indiana with 13 locations on interstates and 11 locations on state or US roads. A Wednesday and a Saturday in
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Feldgoise, Jacob, and Remco Zwetsloot. Estimating the Number of Chinese STEM Students in the United States. Center for Security and Emerging Technology, 2020. http://dx.doi.org/10.51593/20200023.

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In recent years, concern has grown about the risks of Chinese nationals studying science, technology, engineering and mathematics (STEM) subjects at U.S. universities. This data brief estimates the number of Chinese students in the United States in detail, according to their fields of study and degree level. Among its findings: Chinese nationals comprise 16 percent of all graduate STEM students and 2 percent of undergraduate STEM students, lower proportions than were previously suggested in U.S. government reports.
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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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Al-Qadi, Imad, Qingqing Cao, Lama Abufares, Siqi Wang, Uthman Mohamed Ali, and Greg Renshaw. Moisture Content and In-place Density of Cold-Recycling Treatments. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-007.

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Cold-recycling treatments are gaining popularity in the United States because of their economic and environmental benefits. Curing is the most critical phase for these treatments. Curing is the process where emulsion breaks and water evaporates, leaving residual binder in the treated material. In this process, the cold-recycled mix gains strength. Sufficient strength is required before opening the cold-treated layer to traffic or placing an overlay. Otherwise, premature failure, related to insufficient strength and trapped moisture, would be expected. However, some challenges arise from the la
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NARYKOVA, N. A., S. V. KHATAGOVA, and Yu R. PEREPELITSYNA. PEJORATIVE WORDS IN GERMAN MASS-MEDIA IN NOMINATIONS OF POLITICIANS. Science and Innovation Center Publishing House, 2022. http://dx.doi.org/10.12731/2077-1770-2021-14-1-3-57-68.

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One of the main functions of mass media is influence on public opinion. So emotionally-painted lexical means are widely used in mass media in relation to leading politicians who are the centre of political arena. They are exposed to the frequent criticism, a negative estimation. The present article is devoted to the consideration of pejorative lexicon which is applied in nominations for heads of states. An empirical material of research were electronic newspapers and editions: Der Spiegel, Die Zeit, Sueddeutsche Zeitung, Der Tagesspiegel, taz, Die Welt, Gegenblende. As the basic methods of res
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Méndez-Vizcaíno, Juan C., and Nicolás Moreno-Arias. A Global Shock with Idiosyncratic Pains: State-Dependent Debt Limits for LATAM during the COVID-19 pandemic. Banco de la República, 2021. http://dx.doi.org/10.32468/be.1175.

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Fiscal sustainability in five of the largest Latin American economies is examined before and after the COVID-19 pandemic. For this purpose, the DSGE model in Bi(2012) and Hürtgen (2020) is used to estimate the Fiscal Limits and Fiscal Spaces for Peru, Chile, Mexico, Colombia, and Brazil. These estimates advance the empirical literature for Latin America on fiscal sustainability by offering new calculations stemming from a structural framework with alluring novel features: government default on the intensive margin; dynamic Laffer curves; utility-based stochastic discount factor; and a Markov-S
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Соловйов, В. М., В. В. Соловйова та Д. М. Чабаненко. Динаміка параметрів α-стійкого процесу Леві для розподілів прибутковостей фінансових часових рядів. ФО-П Ткачук О. В., 2014. http://dx.doi.org/10.31812/0564/1336.

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Modem market economy of any country cannot successfully behave without the existence of the effective financial market. In the conditions of growing financial market, it is necessary to use modern risk-management methods, which take non-gaussian distributions into consideration. It is known, that financial and economic time series return’s distributions demonstrate so-called «heavy tails», which interrupts the modeling o f these processes with classical statistical methods. One o f the models, that is able to describe processes with «heavy tails», are the а -stable Levi processes. They can sli
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Bonomo, Marco, Claudio R. Frischtak, and Paulo Ribeiro. Public Investment and Fiscal Crisis in Brazil: Finding Culprits and Solutions. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003199.

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We investigate the relation between existing fiscal rules and investments in the context of a fiscal crisis in Brazil. We analyze existing fiscal rules at national and subnational levels, their enforcement, and proposed alternatives. Using narrative analysis, case studies, interviews, empirical estimation, and model simulations, we conclude that public investment is not closely related to fiscal rules in Brazil but is mainly determined by fiscal conditions both at national and subnational (state) levels. It is the steady increase of personnel expenditures in real terms that underlies the fisca
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Terzic, Vesna, and William Pasco. Novel Method for Probabilistic Evaluation of the Post-Earthquake Functionality of a Bridge. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1916.

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While modern overpass bridges are safe against collapse, their functionality will likely be compromised in case of design-level or beyond design-level earthquake, which may generate excessive residual displacements of the bridge deck. Presently, there is no validated, quantitative approach for estimating the operational level of the bridge after an earthquake due to the difficulty of accurately simulating residual displacements. This research develops a novel method for probabilistic evaluation of the post-earthquake functionality state of the bridge; the approach is founded on an explicit eva
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