Academic literature on the topic 'Estimation of efficiency'

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Journal articles on the topic "Estimation of efficiency"

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Liu, Bing, Zhen Chen, Xiangdong Liu, and Fan Yang. "An Efficient Nonlinear Filter for Spacecraft Attitude Estimation." International Journal of Aerospace Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/540235.

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Increasing the computational efficiency of attitude estimation is a critical problem related to modern spacecraft, especially for those with limited computing resources. In this paper, a computationally efficient nonlinear attitude estimation strategy based on the vector observations is proposed. The Rodrigues parameter is chosen as the local error attitude parameter, to maintain the normalization constraint for the quaternion in the global estimator. The proposed attitude estimator is performed in four stages. First, the local attitude estimation error system is described by a polytopic linea
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ÇINAR, Feyza, and Abdullah Çağrı BIBER. "The relationship between students' computational estimation skills and mathematical self-efficiency." Acta Didactica Napocensia 17, no. 1 (2024): 84–97. http://dx.doi.org/10.24193/adn.17.1.7.

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The factors related to estimating skills are twofold: cognitive and affective perspectives. Perception of self-efficacy in mathematics, one of the affective factors, is essential for the individual's capacity, abilities, and self-belief in mathematics for the mathematics course. The present study examined the relationship between students' computational estimation skills and mathematical self-efficacy perceptions. For this purpose, two sets of instruments were used as data collection tools: a computational estimation skills task and a mathematical self-efficacy perceptions scale. A correlation
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Hansen, Bruce E. "SHRINKAGE EFFICIENCY BOUNDS." Econometric Theory 31, no. 4 (2014): 860–79. http://dx.doi.org/10.1017/s0266466614000693.

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This paper is an extension of Magnus (2002, Econometrics Journal 5, 225–236) to multiple dimensions. We consider estimation of a multivariate normal mean under sum of squared error loss. We construct the efficiency bound (the lowest achievable risk) for minimax shrinkage estimation in the class of minimax orthogonally invariate estimators satisfying the sufficient conditions of Efron and Morris (1976, Annals of Statistics 4, 11–21). This allows us to compare the regret of existing orthogonally invariate shrinkage estimators. We also construct a new shrinkage estimator which achieves substantia
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Saikkonen, Pentti. "Asymptotically Efficient Estimation of Cointegration Regressions." Econometric Theory 7, no. 1 (1991): 1–21. http://dx.doi.org/10.1017/s0266466600004217.

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An asymptotic optimality theory for the estimation of cointegration regressions is developed in this paper. The theory applies to a reasonably wide class of estimators without making any specific assumptions about the probability distribution or short-run dynamics of the data-generating process. Due to the nonstandard nature of the estimation problem, the conventional minimum variance criterion does not provide a convenient measure of asymptotic efficiency. An alternative criterion, based on the concentration or peakedness of the limiting distribution of an estimator, is therefore adopted. The
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Rungsuriyawiboon, Supawat, and Spiro E. Stefanou. "Dynamic Efficiency Estimation." Journal of Business & Economic Statistics 25, no. 2 (2007): 226–38. http://dx.doi.org/10.1198/073500106000000288.

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Ouyang, Z., and H. T. Schreuder. "Approximate Srivastava Estimation in Forestry." Forest Science 39, no. 2 (1993): 309–20. http://dx.doi.org/10.1093/forestscience/39.2.309.

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Abstract Srivastava estimation formalizes the introduction of additional prior and posterior information in sampling to increase efficiency in estimation. An unbiased new estimator is given for Poisson sampling which is approximately as efficient as the standard slightly biased estimator without using any additional information. The increased efficiency possible with this method or approximations to it are illustrated for Poisson sampling and point-Poisson sampling using simulations. Srivastava estimation may be applicable in many forest inventory situations. Besides efficiency, the seriousnes
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Gillard, Nicolas, Étienne Belin, and François Chapeau-Blondeau. "Stochastic Resonance with Unital Quantum Noise." Fluctuation and Noise Letters 18, no. 03 (2019): 1950015. http://dx.doi.org/10.1142/s0219477519500159.

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The fundamental quantum information processing task of estimating the phase of a qubit is considered. Following quantum measurement, the estimation efficiency is evaluated by the classical Fisher information which determines the best performance limiting any estimator and achievable by the maximum likelihood estimator. The estimation process is analyzed in the presence of decoherence represented by essential quantum noises that can affect the qubit and belonging to the broad class of unital quantum noises. Such a class especially contains the bit-flip, the phase-flip, the depolarizing noises,
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ZHAO, Chaofan, Xiukai YUAN, and Jingqiang CHEN. "Structural global failure probability function estimation based on adaptive augmented line sampling method." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 41, no. 1 (2023): 105–14. http://dx.doi.org/10.1051/jnwpu/20234110105.

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A global failure probability function estimation method based on the adaptive augmented line sampling method is proposed to solve the parameter failure probability functions in structural reliability analysis and design. The proposed method uses an adaptive strategy to carry out a series of local failure probability function estimations at specific values in the design parameter space by using the augmented line sampling method. Then an optimal combination algorithm based on the minimum variation of coefficient is proposed to integrate all the local failure probability function estimations int
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Li, Xiaoou, and Gongjun Xu. "Uniformly efficient simulation for extremes of Gaussian random fields." Journal of Applied Probability 55, no. 1 (2018): 157–78. http://dx.doi.org/10.1017/jpr.2018.11.

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AbstractIn this paper we consider the problem of simultaneously estimating rare-event probabilities for a class of Gaussian random fields. A conventional rare-event simulation method is usually tailored to a specific rare event and consequently would lose estimation efficiency for different events of interest, which often results in additional computational cost in such simultaneous estimation problems. To overcome this issue, we propose a uniformly efficient estimator for a general family of Hölder continuous Gaussian random fields. We establish the asymptotic and uniform efficiency of the pr
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Al-Omari, Amer Ibrahim, SidAhmed Benchiha, and Ibrahim M. Almanjahie. "Efficient Estimation of Two-Parameter Xgamma Distribution Parameters Using Ranked Set Sampling Design." Mathematics 10, no. 17 (2022): 3170. http://dx.doi.org/10.3390/math10173170.

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An efficient method such as ranked set sampling is used for estimating the population parameters when the actual observation measurement is expensive and complicated. In this paper, we consider the problem of estimating the two-parameter xgamma (TPXG) distribution parameters under the ranked set sampling as well as the simple random sampling design. Various estimation methods, including the weighted least-square estimator, maximum likelihood estimators, least-square estimator, Cramer–von Mises, the maximum product of spacings estimators, and Anderson–Darling estimators, are considered. A compa
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Dissertations / Theses on the topic "Estimation of efficiency"

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Pettegrew, Brian P. "On methods of precipitation efficiency estimation /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1422951.

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Hans, Pamela Dianne. "Discharge estimation techniques for hydraulic efficiency testing." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0027/MQ51749.pdf.

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Firth, David. "Quasi-likelihood estimation : efficiency and other aspects." Thesis, Imperial College London, 1987. http://hdl.handle.net/10044/1/38313.

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Nagy, Szabolcs, Małgorzata Sikorska, and P. G. Pererva. "Estimation of economic efficiency of power engineering." Thesis, Харківський національний університет будівництва та архітектури, 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/36541.

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Herndler, Barbara Linda. "Non-intrusive efficiency estimation of induction machines." Master's thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/11423.

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Includes abstract.<br>Includes bibliographical references (leaves 189-194).<br>Determining the efficiency of an in-service motor requires the motor to be decoupled from its load or the use of highly specialised equipment which is often unavailable on site. In order to assess the efficiency of an induction machine, it is subjected to numerous testing procedures established by recognised international testing standards. These procedures are considered to be time consuming, manually intensive and disruptive to the machine’s operation. Also, the efficiency of the machine quoted after these laborat
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Downie, Alan Stewart. "Efficiency of statistics of stereology." Thesis, Imperial College London, 1991. http://hdl.handle.net/10044/1/46750.

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Nguyen, Ngoc B. "Estimation of Technical Efficiency in Stochastic Frontier Analysis." Bowling Green State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1275444079.

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Leung, Denis H. Y. "Robust estimation : efficiency and bias, in theory and practice." Thesis, University of Oxford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.236163.

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Kravchenko, T. "The quantitative methods of estimation of corporate management efficiency." Thesis, Видавництво СумДУ, 2006. http://essuir.sumdu.edu.ua/handle/123456789/21605.

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Chirindo, Mathews. "Non-intrusive efficiency estimation of inverter-fed induction machines." Doctoral thesis, Faculty of Engineering and the Built Environment, 2021. http://hdl.handle.net/11427/32573.

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Motorised loads using induction machines use approximately 60% of the electricity globally. Most of these systems use three-phase induction motors due to their robustness and lower cost. They are often installed in continuously operating industrial plants/applications that require no operational interruptions. Whilst most of these induction machines are supplied from ideally sinusoidal supplies, applications are emerging where induction machines are fed from non-sinusoidal supplies. In particular, pulse width modulated inverters realize efficient control of induction machines in many automated
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Books on the topic "Estimation of efficiency"

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Nikitin, I͡A I͡U. Asymptotic efficiency of nonparametric tests. Cambridge University Press, 1995.

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Lewellen, Jonathan. Estimation risk, market efficiency, and the predictability of returns. National Bureau of Economic Research, 2000.

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Owino, Wasunna. Public health sector efficiency in Kenya: Estimation and policy implications. Institute of Policy Analysis and Research, 1997.

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Sengupta, Jatikumar. Efficiency analysis by production frontiers: The nonparametric approach. Kluwer Academic, 1989.

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Markellos, Raphael N. Robust estimation of nonlinear production frontiers and efficiency: A neural network approach. Loughborough University, Department of Economics, 1997.

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Shaik, Saleem. Accounting for (in)efficiency in the estimation of time-varying returns to scale. Dept. of Agribusiness and Applied Economics, 2008.

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Wheelock, David C. Robust non-parametric quantile estimation of efficiency and productivity change in U.S. commercial banking, 1985-2004. Federal Reserve Bank of St. Louis, 2006.

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Wheelock, David C. Non-parametric, unconditional quantile estimation for efficiency analysis with an application to Federal Reserve check processing operations. Federal Reserve Bank of St. Louis, 2005.

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Bryan, Michael F. Efficient inflation estimation. National Bureau of Economic Research, 1997.

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M. J. van der Laan. Efficient and inefficient estimation in semiparametric models. Centrum voor Wiskunde en Informatica, 1995.

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Book chapters on the topic "Estimation of efficiency"

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Serfling, Robert. "Asymptotic Relative Efficiency in Estimation." In International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_126.

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Serfling, Robert. "Asymptotic Relative Efficiency in Estimation." In International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2025. https://doi.org/10.1007/978-3-662-69359-9_39.

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Henderson, Daniel J. "Nonparametric Estimation of Higher-Order Moments of Technical Efficiency." In Aggregation, Efficiency, and Measurement. Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-47677-3_7.

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Tao, Yang, Zhiyong Liu, Neng Xiong, Yan Sun, and Jun Lin. "Efficiency Estimation of Formation Flight Types." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3305-7_84.

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Samarov, Alexander. "On Asymptotic Efficiency of Average Derivative Estimates." In Nonparametric Functional Estimation and Related Topics. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3222-0_12.

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Mair, Jason, Zhiyi Huang, David Eyers, and Haibo Zhang. "Myths in PMC-Based Power Estimation." In Energy Efficiency in Large Scale Distributed Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40517-4_3.

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Roychoudhuri, Reshma, Biswajit Debnath, Debasree De, Pavel Albores, Chandrima Banerjee, and Sadhan Kumar Ghosh. "Estimation of E-waste Generation—A Lifecycle-Based Approach." In Waste Management and Resource Efficiency. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7290-1_69.

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Horrace, William C., and Kurt E. Schnier. "Efficiency Selection Procedures for Capacity Utilization Estimation." In Festschrift in Honor of Peter Schmidt. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4899-8008-3_12.

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Müller, Christine H. "High Robustness and High Efficiency of Estimation." In Robust Planning and Analysis of Experiments. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-2296-5_7.

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Caroli, Shobit. "Optimizing the Efficiency of Recipient Area Estimation." In Practical Aspects of Hair Transplantation in Asians. Springer Japan, 2017. http://dx.doi.org/10.1007/978-4-431-56547-5_38.

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Conference papers on the topic "Estimation of efficiency"

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Dickson, Lewis T., Christopher Davison, Craig Michie, et al. "Augmenting Cattle Tracking Efficiency Through Monocular Depth Estimation." In 2024 IEEE 2nd Conference on AgriFood Electronics (CAFE). IEEE, 2024. https://doi.org/10.1109/cafe63183.2024.11069339.

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Glushchenko, Anton, Konstantin Lastochkin, and Vladislav Petrov. "Disturbance Estimation Based Robust Control of 2D Overhead Crane." In 2024 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2024. https://doi.org/10.1109/summa64428.2024.10803727.

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Ren, Yi, Enguo Zhu, Hailong Zhang, Ran Li, Chunguang Lu, and Lei Song. "The Estimation Method of the Efficiency of Isolation Transformer." In 2025 8th International Conference on Energy, Electrical and Power Engineering (CEEPE). IEEE, 2025. https://doi.org/10.1109/ceepe64987.2025.11033909.

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Xu, Yanwen, and Pingfeng Wang. "Sequential Sampling Based Reliability Analysis for High Dimensional Rare Events With Confidence Intervals." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22146.

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Abstract Analysis of rare failure events accurately is often challenging with an affordable computational cost in many engineering applications, and this is especially true for problems with high dimensional system inputs. The extremely low probabilities of occurrences for those rare events often lead to large probability estimation errors and low computational efficiency. Thus, it is vital to develop advanced probability analysis methods that are capable of providing robust estimations of rare event probabilities with narrow confidence bounds. Generally, confidence intervals of an estimator c
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Shinn, Tyler, Richard Carpenter, and Roger C. Fales. "Pump Efficiency Parameter Estimation." In BATH/ASME 2016 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fpmc2016-1765.

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Hydraulic pump health monitoring can give early notice of a catastrophic failure occurring within the pump, saving time and money on repairs. This work focuses on developing a system to monitor an axial piston pump’s volumetric efficiency, using state and parameter estimation techniques. A high order, nonlinear model has been utilized for the axial piston pump. Pressure measurements of the pump are used for a linear Kalman filter (KF) as well as an extended Kalman filter (EKF) to estimate the remaining states of pump model. Volumetric efficiency losses are tracked by the filters via estimation
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Haack, Sarah, Trent Taylor, Bohdan Cybyk, Chase Foster, and Farrukh Alvi. "Experimental Estimation of SparkJet Efficiency." In 42nd AIAA Plasmadynamics and Lasers Conference. American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-3997.

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Chabanenko, P. P. "Estimation of communication networks efficiency." In 2004 14th International Crimean Conference "Microwave and Telecommunication Technology". IEEE, 2004. http://dx.doi.org/10.1109/crmico.2004.183204.

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Sherstneva, Alina A. "Efficiency estimation of Call-center's productivity." In 2013 International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices (EDM). IEEE, 2013. http://dx.doi.org/10.1109/edm.2013.6641947.

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Al-Mofleh, A., S. Taib, and H. Al-Gulman. "Tools for building energy efficiency estimation." In 2008 5th International Symposium on Mechatronics and Its Applications (ISMA). IEEE, 2008. http://dx.doi.org/10.1109/isma.2008.4648821.

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Zhang, Suxian, and Xinyan Liu. "Carbon efficiency estimation of residential products." In 2015 3rd International Conference on Education, Management, Arts, Economics and Social Science. Atlantis Press, 2016. http://dx.doi.org/10.2991/icemaess-15.2016.289.

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Reports on the topic "Estimation of efficiency"

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Martin, R. D., and Ruben H. Zamar. Efficiency Constrained Bias Robust Estimation of Location. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada242918.

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Fujita, K. Sydny. Commercial Discount Rate Estimation for Efficiency Standards Analysis. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1249499.

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Verbeke, J. Estimation of Confidence Intervals for Multiplication and Efficiency. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/964524.

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Lewellen, Jonathan, and Jay Shanken. Estimation Risk, Market Efficiency, and the Predictability of Returns. National Bureau of Economic Research, 2000. http://dx.doi.org/10.3386/w7699.

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Samejima, Fumiko. Content-Based Observation of Informative Distractors and Efficiency of Ability Estimation. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada225590.

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Maereka, Enock Kuziwa. An estimation of grain legume seed system efficiency in developing countries. Iowa State University, 2020. http://dx.doi.org/10.31274/cc-20240624-168.

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Wheelock, David C., and Paul W. Wilson. Robust Nonparametric Estimation of Efficiency and Technical Change in U.S. Commercial Banking. Federal Reserve Bank of St. Louis, 2003. http://dx.doi.org/10.20955/wp.2003.037.

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Uthemann, Andreas, Antonio Guarino, and Marco Cipriani. Financial transaction taxes and the informational efficiency of financial markets: a structural estimation. The IFS, 2019. http://dx.doi.org/10.1920/wp.cem.2019.07.

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Uthemann, Andreas, Antonio Guarino, and Marco Cipriani. Financial transaction taxes and the informational efficiency of financial markets: a structural estimation. The IFS, 2019. http://dx.doi.org/10.1920/wp.cem.2019.0719.

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Melo-Becerra, Ligia Alba, and María Teresa Ramírez-Giraldo. Transport infrastructure and technical efficiency in a panel of countries: Accounting for endogeneity in a stochastic frontier model. Banco de la República, 2021. http://dx.doi.org/10.32468/be.1187.

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In this paper, a global production frontier is estimated using stochastic frontier models to assess the contribution of transport infrastructure to countries’ performance. We find that the role of infrastructure is underestimated under the exogeneity assumption indicating that handling endogeneity is crucial in the estimation. Results suggest that a better endowment of infrastructure contributes to economic growth, highlighting its importance in explaining differences in the economic performance of countries. Efficiency measures indicate that high-income countries are more efficient than low-
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