Relevant bibliographies by topics / An instrument of estimation

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

Academic literature on the topic 'An instrument of estimation'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "An instrument of estimation"

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Hall, Alastair R., Glenn D. Rudebusch, and David W. Wilcox. "Judging Instrument Relevance in Instrumental Variables Estimation." International Economic Review 37, no. 2 (1996): 283. http://dx.doi.org/10.2307/2527324.

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Murray, Michael P. "Avoiding Invalid Instruments and Coping with Weak Instruments." Journal of Economic Perspectives 20, no. 4 (2006): 111–32. http://dx.doi.org/10.1257/jep.20.4.111.

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Archimedes said, “Give me the place to stand, and a lever long enough, and I will move the Earth.” Economists have their own powerful lever: the instrumental variable estimator. The instrumental variable estimator can avoid the bias that ordinary least squares suffers when an explanatory variable in a regression is correlated with the regression's disturbance term. But, like Archimedes' lever, instrumental variable estimation requires both a valid instrument on which to stand and an instrument that isn't too short (or “too weak”). This paper briefly reviews instrumental variable estimation, di
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Bowden, P. K., S. W. Touyz, P. J. Rodriguez, R. Hensley, and P. J. V. Beumont. "Distorting Patient or Distorting Instrument?" British Journal of Psychiatry 155, no. 2 (1989): 196–201. http://dx.doi.org/10.1192/bjp.155.2.196.

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Three current techniques for estimating body size (Image Marking, Visual Size Estimation, and Distorting Video techniques) were compared. Anorexia nervosa and bulimic patients and normal control subjects were required to make size judgements of the way they ‘knew’ they looked, the way they ‘felt’ they looked, and of the width of an inanimate control object. Results from the three techniques were not the same, thus implying that research findings can no longer be cross-compared. Moreover, while all subjects were similar in the accuracy of their estimation of a control object, anorexia nervosa a
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Breunig, Christoph, and Jan Johannes. "ADAPTIVE ESTIMATION OF FUNCTIONALS IN NONPARAMETRIC INSTRUMENTAL REGRESSION." Econometric Theory 32, no. 3 (2015): 612–54. http://dx.doi.org/10.1017/s0266466614000966.

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We consider the problem of estimating the valueℓ(ϕ) of a linear functional, where the structural functionϕmodels a nonparametric relationship in presence of instrumental variables. We propose a plug-in estimator which is based on a dimension reduction technique and additional thresholding. It is shown that this estimator is consistent and can attain the minimax optimal rate of convergence under additional regularity conditions. This, however, requires an optimal choice of the dimension parametermdepending on certain characteristics of the structural functionϕand the joint distribution of the r
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Udhare, Atul. "Automatic Rain Gauge (Sensor Based) for Rainfall Calculation." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 2297–300. http://dx.doi.org/10.22214/ijraset.2021.36891.

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Theoretical Rainfall estimation framework is a helpful instrument in climate estimation framework. The programmed Rain check has been effectively evolved by meteorological, climatological, and geophysical office. In tropical country, for example, India for the most part Jammu and Kashmir, precipitation estimation for rural and climate determining framework is vital. Testing related tippingcontainer (TB) downpour check estimations have huge mistakes for brief time frame assessment. In this paper, a stable electronic downpour measure situation with complete information control is planned and cre
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Shiono, Nanako, and Yoshinori Takahashi. "Vibration mode analysis and estimation of sound power of source for acoustic tube driving by single reed." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A288. http://dx.doi.org/10.1121/10.0023549.

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Reproduction of wind instrument using additive manufacturing has been studied for the purpose of cultural property by Takahashi et al. It is known that the material of air reed instruments has little effect on sound quality, indicating the possibility of reproducing the Shakuhachi, a Japanese air reed instrument. On the other hand, in the case of the reproduction of classical oboe, a listening test using short musical phrases suggested the possibility of distinguishing the difference of the real instrument from that the reproduced instrument. Since the vibration of the tube caused by reed vibr
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Schwabe, Markus, and Michael Heizmann. "Influence of input data representations for time-dependent instrument recognition." tm - Technisches Messen 88, no. 5 (2021): 274–81. http://dx.doi.org/10.1515/teme-2020-0100.

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Abstract An important preprocessing step for several music signal processing algorithms is the estimation of playing instruments in music recordings. To this aim, time-dependent instrument recognition is realized by a neural network with residual blocks in this approach. Since music signal processing tasks use diverse time-frequency representations as input matrices, the influence of different input representations for instrument recognition is analyzed in this work. Three-dimensional inputs of short-time Fourier transform (STFT) magnitudes and an additional time-frequency representation based
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Nagai, Isaku, Jun Sakai, and Keigo Watanabe. "Indoor Self-Localization Using Multiple Magnetic Sensors." Journal of Robotics and Mechatronics 31, no. 2 (2019): 203–11. http://dx.doi.org/10.20965/jrm.2019.p0203.

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This study proposes an indoor self-localization for the estimation of the position and posture of an instrument using multiple magnetic sensors. First, a magnetic map for the localization is efficiently created using multiple sensors and a local positioning device made from an optical sensor and a gyroscope. For the localization estimating trajectories, the measurement error of the local positioning is corrected by matching it with the magnetic map. Our instrument is composed of six magnetic sensors, and the description of the self-localization details is based on the framework of a particle f
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Jackson, Miranda, and Gary Scavone. "A comparison of modeled and measured impedance of brass instruments and mouthpieces." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A109. http://dx.doi.org/10.1121/10.0026977.

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The impedance of a brass instrument has an important influence on its playability and sound timbre. The geometry of the mouthpiece has various features, such as the cup volume and shape, opening diameter, and length, that determine the characteristics of the overall impedance of the instrument-mouthpiece combination. Brass instruments, and especially mouthpieces, are designed for specific purposes, and horns or mouthpieces are chosen depending on the musical requirements. In order to investigate the relationship between the physical parameters and the impedances of instruments and mouthpieces,
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Gaillard, Fabienne, Thierry Terre, and Antoine Guillot. "Monitoring moored instrument motion by optimal estimation." Ocean Engineering 33, no. 1 (2006): 1–22. http://dx.doi.org/10.1016/j.oceaneng.2005.04.011.

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Dissertations / Theses on the topic "An instrument of estimation"

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Gunawan, David Oon Tao Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Musical instrument sound source separation." Awarded By:University of New South Wales. Electrical Engineering & Telecommunications, 2009. http://handle.unsw.edu.au/1959.4/41751.

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The structured arrangement of sounds in musical pieces, results in the unique creation of complex acoustic mixtures. The analysis of these mixtures, with the objective of estimating the individual sounds which constitute them, is known as musical instrument sound source separation, and has applications in audio coding, audio restoration, music production, music information retrieval and music education. This thesis principally addresses the issues related to the separation of harmonic musical instrument sound sources in single-channel mixtures. The contributions presented in this work include
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Loeffler, Dominik B. "Instrument Timbres and Pitch Estimation in Polyphonic Music." Thesis, Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/10568.

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In the past decade, the availability of digitally encoded, downloadable music has increased dramatically, pushed mainly by the release of the now famous MP3 compression format (Fraunhofer-Gesellschaft, 1994). Online sales of music in the US doubled in 2005, according to a recent news article (*), while the number of files exchanged on P2P platforms is much higher, but hard to estimate. The existing and coming informational flood in digital music prompts the need for sophisticated content-based information retrieval. Query-by-Humming is a prototypical technique aimed at locating pieces of mus
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Flores-Lagunes, Alfonso. "Instrumental variables estimation in the presence of weak instruments." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1269521626.

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Eggink, Jana. "Instrument recognition and melody estimation in polyphonic music based on limited time-frequency representations." Thesis, University of Sheffield, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.425616.

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Tauro, Yvonne Agnes Pearl. "An Iterative Technique for Instrument Transformer Calibration and Line Parameter Estimation with Synchrophasor Measurements." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/77706.

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The introduction of synchrophasor technology to the realm of power systems has presented a myriad of novel approaches to age-old problems. In this thesis, the questions of instrument transformer calibration and transmission line parameter estimation have been examined. With synchrophasors offering real-time data for analysis, a solution to each individual problem seems feasible. A quandary however arises due to the fact that calibration methods depend on accurate knowledge of line parameters, and estimation of these parameters depend on calibrated measurements. Traditional methods of determini
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Pfab, Jonathan Francis. "Thermal Analysis of the Detector in the Radiation Budget Instrument (RBI)." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/82035.

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Earth radiation budget instruments are devices designed to study global climate change. These instruments use telescopes embarked on low-earth-orbit satellites to measure Earth emitted and reflected solar radiation. Radiation is sensed as temperature changes caused by radiation absorbed during scans of the earth on a delicate gold-black coated detector. This work is part of a larger effort to develop an end-to-end dynamic electro-thermal model, based on first-principles, for the next generation of earth radiation budget instruments, the Radiation Budget Instrument (RBI). A primary objective o
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Cabras, Paolo. "3D Pose estimation of continuously deformable instruments in robotic endoscopic surgery." Thesis, Strasbourg, 2016. http://www.theses.fr/2016STRAD007/document.

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Connaître la position 3D d’instruments robotisés peut être très utile dans le contexte chirurgical. Nous proposons deux méthodes automatiques pour déduire la pose 3D d’un instrument avec une unique section pliable et équipé avec des marqueurs colorés, en utilisant uniquement les images fournies par la caméra monoculaire incorporée dans l'endoscope. Une méthode basée sur les graphes permet segmenter les marqueurs et leurs coins apparents sont extraits en détectant la transition de couleur le long des courbes de Bézier qui modélisent les points du bord. Ces primitives sont utilisées pour estimer
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Jack, Karen. "La démence sénile en France : estimation du taux de prévalence actuel et validation d'un instrument de dépistage." Montpellier 1, 1995. http://www.theses.fr/1995MON1T008.

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Sanderson, Eleanor. "Testing for weak instruments in two-stage least squares estimation of linear instrumental variable models." Thesis, University of Bristol, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.690773.

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Instrumental Variable (IV) methods are widely used in the analysis of economic data when the explanatory variable of interest is endogenous and so OLS estimation of the model is biased. However, if the instruments used do not strongly predict the endogenous variable being instrumented then the IV estimator will also give biased results. Weak Instrument Asymptotic theory can be used to model the strength of the instruments in Two-Stage Least Squares (2SLS) IV models and critical values have been developed to test for Weak Instruments in models with one time period. In the first part of this the
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Avramidis, Stefanos. "Simulation and parameter estimation of spectrophotometric instruments ." Thesis, KTH, Numerical Analysis and Computer Science, NADA, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-12292.

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<p>The paper and the graphics industries use two instruments with different optical geometry (d/0 and 45/0) to measure the quality of paper prints. The instruments have been reported to yield incompatible measurements and even rank samples differently in some cases, causing communication problems between these sectors of industry.A preliminary investigation concluded that the inter-instrument difference could be significantly influenced by external factors (background, calibration, heterogeneity of the medium). A simple methodology for eliminating these external factors and thereby minimizing
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Books on the topic "An instrument of estimation"

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Hahn, Jinyong. IV estimation with valid and invalid instruments. Massachusetts Institute of Technology, Dept. of Economics, 2003.

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West, Kenneth D. Instrumental variables estimation of heteroskedastic linear models using all lags of instruments. National Bureau of Economic Research, 2007.

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Gerard J. van den Berg. An economic analysis of exclusion restrictions for instrumental variable estimation. IZA, 2007.

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Kuersteiner, Guido M. Optimal instrumental variables estimation for ARMA models. Dept. of Economics, Massachusetts Institute of Technology, 1999.

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Daniel Távora de Queiroz Cobra. Estimation and correction of geometric distortions in side-scan sonar design. WHOI, 1990.

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Holly, Alberto. A note on instrumental variables and maximum likelihood estimation procedures. London School of Economics, 1986.

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Chang-Jin, Kim. Estimation of Markov regime-switching regression models with endogenous switching. Federal Reserve Bank of St. Louis, 2003.

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Toxics Link (Organization : India). Estimation of mercury usage and release from healthcare instruments in India. Toxics Link, 2011.

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G, Foote K., and International Council for the Exploration of the Sea., eds. Calibration of acoustic instruments for fish density estimation: A practical guide. International Council for the Exploration of the Sea, 1987.

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Inoue, Atsushi. Two-sample instrumental variables estimators. National Bureau of Economic Research, 2005.

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Book chapters on the topic "An instrument of estimation"

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Kügler, David, Martin Andrade Jastrzebski, and Anirban Mukhopadhyay. "Instrument Pose Estimation Using Registration for Otobasis Surgery." In Biomedical Image Registration. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92258-4_10.

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Kügler, David, Marc Uecker, Arjan Kuijper, and Anirban Mukhopadhyay. "AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59716-0_36.

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Masson, A., O. Santolı́k, M. G. G. T. Taylor, et al. "Electron Density Estimation in the Magnetotail: a Multi-Instrument Approach." In Astrophysics and Space Science Proceedings. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3499-1_18.

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Muratova, Anna, and Irina Ptukhina. "BIM as an Instrument of a Conceptual Project Cost Estimation." In Proceedings of EECE 2019. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42351-3_41.

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Lübben, Sonja, Wolfgang Müskens, and Olaf Zawacki-Richter. "Quality of OER: Test Theoretical Development and Validation of an Assessment Tool." In Distributed Learning Ecosystems. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-38703-7_8.

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AbstractDue to their dynamic development process, Open Educational Resources (OER) pose a special challenge regarding quality assurance. While there are many approaches to developing procedures for quality assurance, there is still a lack of suitable instruments to measure the quality of OER. Zawacki-Richter and Mayrberger (2017) integrated seven internationally used instruments for measuring the quality of OER into a comprehensive quality model for OER in higher education. Quality of OER is understood as a multidimensional construct within this model. The model formed the basis for the Instru
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Rieke, Nicola, David Joseph Tan, Federico Tombari, et al. "Real-Time Online Adaption for Robust Instrument Tracking and Pose Estimation." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46720-7_49.

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Inkmann, Joachim. "GMM Estimation with Optimal Instruments." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56571-7_8.

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Flores, Carlos A., and Xuan Chen. "Estimation and Inference." In Average Treatment Effect Bounds with an Instrumental Variable: Theory and Practice. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2017-0_6.

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Jiang, Wenxin, Alicja Wieczorkowska, and Zbigniew W. Raś. "Music Instrument Estimation in Polyphonic Sound Based on Short-Term Spectrum Match." In Foundations of Computational Intelligence Volume 2. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01533-5_10.

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Rieke, Nicola, David Joseph Tan, Federico Tombari, et al. "Abstract: Real-Time Online Adaption for Robust Instrument Tracking and Pose Estimation." In Informatik aktuell. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54345-0_75.

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Conference papers on the topic "An instrument of estimation"

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Haouari, Jihanne El, Jean-Yves Tourneret, Herwig Wendt, Jean-Michel Gaucel, and Christelle Pittet. "Estimation of Instrument Spectral Response Functions in Presence of Radiometric Errors." In 2024 32nd European Signal Processing Conference (EUSIPCO). IEEE, 2024. http://dx.doi.org/10.23919/eusipco63174.2024.10715283.

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Yang, Junjie, Zhihao Zhao, Mathias Maier, Kai Huang, Nassir Navab, and M. Ali Nasseri. "Shadow-Based 3D Pose Estimation of Intraocular Instrument Using Only 2D Images." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611011.

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Haouari, Jihanne El, Jean-Michel Gaucel, Christelle Pittet, Jean-Yves Tourneret, and Herwig Wendt. "Estimation of Instrument Spectral Response Functions Using Sparse Representations in a Dictionary." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640424.

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Negri, Virginia, Alessandro Mingotti, Roberto Tinarelli, and Lorenzo Peretto. "Temperature-Based Accuracy Estimation on Instrument Transformers via Neural Networks and Microcontrollers." In 2024 IEEE 14th International Workshop on Applied Measurements for Power Systems (AMPS). IEEE, 2024. http://dx.doi.org/10.1109/amps62611.2024.10706689.

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Jiang, Tao, Xiaobing Yu, Li Yu, Ji Fan, Chenyuan Hu, and Huafeng Liu. "Gravity Gradiometer Output Noise Suppression Based on Minimum Mean Square Error Estimation." In 2024 Academic Conference of China Instrument and Control Society (ACCIS). IEEE, 2024. https://doi.org/10.1109/accis62068.2024.10948597.

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Li, Zhuolong, Beiting Xi, Yingao Qu, and Jingjing Cheng. "An Improved Lateral Vibration Displacement Estimation of Drilling Strings Based on Double Accelerometers Installed Symmetrically." In 2024 Academic Conference of China Instrument and Control Society (ACCIS). IEEE, 2024. https://doi.org/10.1109/accis62068.2024.10948670.

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Strunz, Harry C., Troy Baker, and David Ethridge. "Estimation of stellar instrument magnitudes." In Optical Engineering and Photonics in Aerospace Sensing, edited by George E. Sevaston and Richard H. Stanton. SPIE, 1993. http://dx.doi.org/10.1117/12.157085.

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Fabel, Stephan, Kyungim Baek, and Peter Berkelman. "Robotic-surgical instrument wrist pose estimation." In 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010). IEEE, 2010. http://dx.doi.org/10.1109/iembs.2010.5627598.

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Eckardt, Andreas, Stefan Hofer, Christian Neumann, and Wolfgang Skrbek. "SNR estimation for advanced hyperspectral space instrument." In Optics & Photonics 2005, edited by Marija Strojnik. SPIE, 2005. http://dx.doi.org/10.1117/12.609236.

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Orieux, F., T. Rodet, and J. F. Giovannelli. "Instrument parameter estimation in bayesian convex deconvolution." In 2010 17th IEEE International Conference on Image Processing (ICIP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icip.2010.5651917.

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Reports on the topic "An instrument of estimation"

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Angrist, Joshua, Guido Imbens, and Alan Krueger. Jackknife Instrumental Variables Estimation. National Bureau of Economic Research, 1995. http://dx.doi.org/10.3386/t0172.

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Kim, Dongwoo, Denis Chetverikov, and Daniel Wilhelm. Nonparametric instrumental variable estimation. The IFS, 2017. http://dx.doi.org/10.1920/wp.cem.2017.4717.

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West, Kenneth, Ka-fu Wong, and Stanislav Anatolyev. Instrumental Variables Estimation of Heteroskedastic Linear Models Using All Lags of Instruments. National Bureau of Economic Research, 2007. http://dx.doi.org/10.3386/t0338.

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West, Kenneth, Ka-fu Wong, and Stanislav Anatolyev. Instrumental Variables Estimation of Heteroskedastic Linear Models Using All Lags of Instruments. National Bureau of Economic Research, 2007. http://dx.doi.org/10.3386/w13134.

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Koedel, Cory, and Julian Betts. Value-Added to What? How a Ceiling in the Testing Instrument Influences Value-Added Estimation. National Bureau of Economic Research, 2009. http://dx.doi.org/10.3386/w14778.

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D'Haultfoeuille, Xavier, Arnaud Maurel, Xiaoyun Qiu, and Yichong Zhang. Estimating Selection Models without Instrument with Stata. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w25823.

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Chetverikov, Denis, and Daniel Wilhelm. Nonparametric instrumental variable estimation under monotonicity. Institute for Fiscal Studies, 2015. http://dx.doi.org/10.1920/wp.cem.2015.3915.

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Wilhelm, Daniel, and Denis Chetverikov. Nonparametric instrumental variable estimation under monotonicity. The IFS, 2016. http://dx.doi.org/10.1920/wp.cem.2016.4816.

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Newey, Whitney K., and James L. Powell. Instrumental variables estimation for nonparametric models. The IFS, 2017. http://dx.doi.org/10.1920/wp.cem.2017.0717.

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Chetverikov, Denis, and Daniel Wilhelm. Nonparametric instrumental variable estimation under monotonicity. The IFS, 2017. http://dx.doi.org/10.1920/wp.cem.2017.1417.

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