Relevant bibliographies by topics / MOMENTS METHOD

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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 'MOMENTS METHOD'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "MOMENTS METHOD"

1

Jurczek, E. "Orthogonalized-moments method." Physical Review B 32, no. 6 (1985): 4208–11. http://dx.doi.org/10.1103/physrevb.32.4208.

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Morrison, Hugh, Matthew R. Kumjian, Charlotte P. Martinkus, Olivier P. Prat, and Marcus van Lier-Walqui. "A General N-Moment Normalization Method for Deriving Raindrop Size Distribution Scaling Relationships." Journal of Applied Meteorology and Climatology 58, no. 2 (2019): 247–67. http://dx.doi.org/10.1175/jamc-d-18-0060.1.

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AbstractA general drop size distribution (DSD) normalization method is formulated in terms of generalized power series relating any DSD moment to any number and combination of reference moments. This provides a consistent framework for comparing the variability of normalized DSD moments using different sets of reference moments, with no explicit assumptions about the DSD functional form (e.g., gamma). It also provides a method to derive any unknown moment plus an estimate of its uncertainty from one or more known moments, which is relevant to remote sensing retrievals and bulk microphysics sch
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Kliche, Donna V., Paul L. Smith, and Roger W. Johnson. "L-Moment Estimators as Applied to Gamma Drop Size Distributions." Journal of Applied Meteorology and Climatology 47, no. 12 (2008): 3117–30. http://dx.doi.org/10.1175/2008jamc1936.1.

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Abstract The traditional approach with experimental raindrop size data has been to use the method of moments in the fitting procedure to estimate the parameters for the raindrop size distribution function. However, the moment method is known to be biased and can have substantial errors. Therefore, the L-moment method, which is widely used by hydrologists, was investigated as an alternative. The L-moment method was applied, along with the moment and maximum likelihood methods, to samples taken from simulated gamma raindrop populations. A comparison of the bias and the errors involved in the L-m
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Headrick, Todd C. "A Characterization of Power Method Transformations throughL-Moments." Journal of Probability and Statistics 2011 (2011): 1–22. http://dx.doi.org/10.1155/2011/497463.

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Power method polynomial transformations are commonly used for simulating continuous nonnormal distributions with specified moments. However, conventional moment-based estimators can (a) be substantially biased, (b) have high variance, or (c) be influenced by outliers. In view of these concerns, a characterization of power method transformations byL-moments is introduced. Specifically, systems of equations are derived for determining coefficients for specifiedL-moment ratios, which are associated with standard normal and standard logistic-based polynomials of order five and three. Boundaries fo
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Jiade Yuan, Changqing Gu, and Guodong Han. "Efficient Generation of Method of Moments Matrices Using Equivalent Dipole-Moment Method." IEEE Antennas and Wireless Propagation Letters 8 (2009): 716–19. http://dx.doi.org/10.1109/lawp.2009.2024337.

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Gholizadeh, Mahdieh, Mohammad Hossein Gholizadeh, Hossein Ghayoumi Zadeh, and Mostafa Danaeian. "The noise reduction of medical radiography images using fractional moments." Medical Journal of Tabriz University of Medical Sciences and Health Services 42, no. 6 (2021): 649–58. http://dx.doi.org/10.34172/mj.2021.005.

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Background: This paper presents a method to improve medical radiography images based on the use of statistical signal moments. Methods: In this paper, the image with noise is considered as a statistical signal, and the noise reduction is performed by using fractional moments. The fractional moment’s method, on the one hand, has a speed similar to the moment method, and, on the other hand, has not the limitations of the moment method, which sometimes achieves inaccurate results. The proposed method is ultimately examined on radiographic images (CT). Results: The information obtained from the fr
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Dell'Aquila, Rosario. "Generalized Method of Moments." Journal of the American Statistical Association 101, no. 475 (2006): 1309–10. http://dx.doi.org/10.1198/jasa.2006.s120.

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Benoit, C., E. Royer, and G. Poussigue. "The spectral moments method." Journal of Physics: Condensed Matter 4, no. 12 (1992): 3125–52. http://dx.doi.org/10.1088/0953-8984/4/12/010.

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Mat Jan, Nur Amalina, Ani Shabri, and Ruhaidah Samsudin. "Handling non-stationary flood frequency analysis using TL-moments approach for estimation parameter." Journal of Water and Climate Change 11, no. 4 (2019): 966–79. http://dx.doi.org/10.2166/wcc.2019.055.

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Abstract Non-stationary flood frequency analysis (NFFA) plays an important role in addressing the issue of the stationary assumption (independent and identically distributed flood series) that is no longer valid in infrastructure-designed methods. This confirms the necessity of developing new statistical models in order to identify the change of probability functions over time and obtain a consistent flood estimation method in NFFA. The method of Trimmed L-moments (TL-moments) with time covariate is confronted with the L-moment method for the stationary and non-stationary generalized extreme v
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HOSNY, KHALID M. "EFFICIENT COMPUTATION OF LEGENDRE MOMENTS FOR GRAY LEVEL IMAGES." International Journal of Image and Graphics 07, no. 04 (2007): 735–47. http://dx.doi.org/10.1142/s021946780700288x.

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Direct computation of Legendre orthogonal moments requires huge arithmetic operations, which is very time consuming. Many works have described methods for reducing the computations involved in evaluating Legendre moments. Nevertheless, reduction computational complexity is still an open problem and needs more investigation. Existing algorithms mainly focused on binary images and compute Legendre moments using a set of geometric moments. We propose a fast and efficient method for computation of Legendre moments for binary and gray level images. A recurrence formula of one-dimensional Legendre m
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Dissertations / Theses on the topic "MOMENTS METHOD"

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Shin, Changmock. "Entropy Based Moment Selection in Generalized Method of Moments." NCSU, 2005. http://www.lib.ncsu.edu/theses/available/etd-06072005-112026/.

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GMM provides a computationally convenient estimation method and the resulting estimator can be shown to be consistent and asymptotically normal under the fairly moderate regularity conditions. It is widely known that the information content in the population moment condition has impacts on the quality of the asymptotic approximation to finite sample behavior. This dissertation focuses on a moment selection procedure that leads us to choose relevant (asymptotically efficient and non-redundant) moment conditions in the presence of weak identification. The contributions of this dissertation can b
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Lai, Yanzhao. "Generalized method of moments exponential distribution family." View electronic thesis (PDF), 2009. http://dl.uncw.edu/etd/2009-2/laiy/yanzhaolai.pdf.

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Virk, Bikram. "Implementing method of moments on a GPGPU using Nvidia CUDA." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33980.

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This thesis concentrates on the algorithmic aspects of Method of Moments (MoM) and Locally Corrected Nyström (LCN) numerical methods in electromagnetics. The data dependency in each step of the algorithm is analyzed to implement a parallel version that can harness the powerful processing power of a General Purpose Graphics Processing Unit (GPGPU). The GPGPU programming model provided by NVIDIA's Compute Unified Device Architecture (CUDA) is described to learn the software tools at hand enabling us to implement C code on the GPGPU. Various optimizations such as the partial update at every itera
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Li, Tao. "3D Capacitance Extraction With the Method of Moments." Digital WPI, 2010. https://digitalcommons.wpi.edu/etd-theses/86.

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In this thesis, the Method of Moments has been applied to calculate capacitance between two arbitrary 3D metal conductors or a capacitance matrix for a 3D multi-conductor system. Capacitance extraction has found extensive use for systems involving sets of long par- allel transmission lines in multi-dielectric environment as well as integrated circuit package including three-dimensional conductors located on parallel planes. This paper starts by reviewing fundamental aspects of transient electro-magnetics followed by the governing dif- ferential and integral equations to motivate the applicatio
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Liang, Yitian. "Generalized method of moments : theoretical, econometric and simulation studies." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/36866.

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The GMM estimator is widely used in the econometrics literature. This thesis mainly focus on three aspects of the GMM technique. First, I derive the prooves to study the asymptotic properties of the GMM estimator under certain conditions. To my best knowledge, the original complete prooves proposed by Hansen (1982) is not easily available. In this thesis, I provide complete prooves of consistency and asymptotic normality of the GMM estimator under some stronger assumptions than those in Hansen (1982). Second, I illustrate the application of GMM estimator in linear models. Specifically, I empha
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McLeod, James William. "An investigation of the CDF-based method of moments." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0009/MQ34121.pdf.

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Strydom, Willem Jacobus. "Recovery based error estimation for the Method of Moments." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/96881.

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Thesis (MEng)--Stellenbosch University, 2015.<br>ENGLISH ABSTRACT: The Method of Moments (MoM) is routinely used for the numerical solution of electromagnetic surface integral equations. Solution errors are inherent to any numerical computational method, and error estimators can be effectively employed to reduce and control these errors. In this thesis, gradient recovery techniques of the Finite Element Method (FEM) are formulated within the MoM context, in order to recover a higher-order charge of a Rao-Wilton-Glisson (RWG) MoM solution. Furthermore, a new recovery procedure, based spec
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Arvas, Serhend. "A method of moments analysis of microstructured optical fibers." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2009. http://wwwlib.umi.com/cr/syr/main.

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CUNHA, JOAO MARCO BRAGA DA. "ESTIMATING ARTIFICIAL NEURAL NETWORKS WITH GENERALIZED METHOD OF MOMENTS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26922@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>As Redes Neurais Artificiais (RNAs) começaram a ser desenvolvidas nos anos 1940. Porém, foi a partir dos anos 1980, com a popularização e o aumento de capacidade dos computadores, que as RNAs passaram a ter grande relevância. Também nos anos 1980, houve dois outros acontecimentos acadêmicos relacionados ao presente trabalho: (i) um grande crescimento do interesse de econometristas por modelos não lineares, que culminou nas abordagens economét
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Kluskens, Michael S. "Method of moments analysis of scattering by chiral media /." The Ohio State University, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487688507504775.

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Books on the topic "MOMENTS METHOD"

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Generalized method of moments. Oxford University Press, 2005.

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The Method of moments in electromagnetics. CRC Press/Taylor & Francis, 2014.

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Gibson, Walton C. The method of moments in electromagnetics. Chapman & Hall/CRC, 2008.

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Shaeffer, John F. MOM3D method of moments code: Theory manual. Lockheed Advanced Development Co., 1992.

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Bourlier, Christophe, Nicolas Pinel, and Gildas Kubické. Method of Moments for 2D Scattering Problems. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118648674.

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Deshpande, Manohar D. Analysis of electromagnetic scattering from irregularly shaped, thin, metallic flat plates. Langley Research Center, 1993.

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Reddy, C. J. Analysis of three-dimensional-cavity-backed aperture antennas using a combined finite element method/method of moments/geometrical theory of diffraction technique. Langley Research Center, 1995.

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Bossaerts, Peter. "Method of moments tests of contingent claims asset pricing models". INSEAD, 1986.

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Stark, A. F. Coupled cluster theory, sum rules and the method of moments. UMIST, 1995.

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Bourlier, Christophe. Method of moments for 2D scattering problems: Basic concepts and applications. ISTE Ltd, 2013.

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Book chapters on the topic "MOMENTS METHOD"

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Archambeault, Bruce, Colin Brench, and Omar M. Ramahi. "Method of Moments." In EMI/EMC Computational Modeling Handbook. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1557-9_4.

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Haas, Fernando. "The Moments Method." In Quantum Plasmas. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8201-8_9.

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Karnovsky, Igor A., and Evgeniy Lebed. "Krein Moments Method." In Theory of Vibration Protection. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28020-2_11.

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Archambeault, Bruce, Omar M. Ramahi, and Colin Brench. "Method of Moments." In EMI/EMC Computational Modeling Handbook. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-5124-6_4.

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Cercignani, Carlo, and Gilberto Medeiros Kremer. "Method of Moments." In The Relativistic Boltzmann Equation: Theory and Applications. Birkhäuser Basel, 2002. http://dx.doi.org/10.1007/978-3-0348-8165-4_6.

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Barkeshli, Kasra, and Sina Khorasani. "Method of Moments." In Advanced Electromagnetics and Scattering Theory. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11547-4_9.

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Qin, Jing. "Generalized Method of Moments." In Biased Sampling, Over-identified Parameter Problems and Beyond. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4856-2_7.

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Rylander, Thomas, Pär Ingelström, and Anders Bondeson. "The Method of Moments." In Computational Electromagnetics. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5351-2_7.

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Wansbeek, Tom J. "Generalized Method of Moments." In International Series in Quantitative Marketing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53469-5_15.

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Gibson, Walton C. "The Method of Moments." In The Method of Moments in Electromagnetics, 3rd ed. CRC Press, 2021. http://dx.doi.org/10.1201/9780429355509-2.

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Conference papers on the topic "MOMENTS METHOD"

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Hu, Hongchang. "Method of weighted moments." In 2012 IEEE Symposium on Robotics and Applications (ISRA). IEEE, 2012. http://dx.doi.org/10.1109/isra.2012.6219223.

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Song, J. M., W. W. Shu, and W. C. Chew. "Numerical resonances in method of moments." In 2007 IEEE Antennas and Propagation Society International Symposium. IEEE, 2007. http://dx.doi.org/10.1109/aps.2007.4396633.

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Nair, N. V., and B. Shanker. "Implementation of Generalized Method of Moments." In 2009 IEEE Antennas and Propagation Society International Symposium (APSURSI). IEEE, 2009. http://dx.doi.org/10.1109/aps.2009.5171540.

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Dault, D., and B. Shanker. "A penalty method for the Generalized Method of Moments." In 2014 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2014. http://dx.doi.org/10.1109/aps.2014.6905408.

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Brench, Colin E. "Method of moments use, validation and limitations." In 2008 IEEE International Symposium on Electromagnetic Compatibility - EMC 2008. IEEE, 2008. http://dx.doi.org/10.1109/isemc.2008.4652201.

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Masek, Michal, Miloslav Capek, Lukas Jelinek, and Kurt Schab. "Utilization of Symmetries in Method of Moments." In 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting. IEEE, 2019. http://dx.doi.org/10.1109/apusncursinrsm.2019.8888654.

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D'Ambrosio, K., R. Pirich, K. Petkov, and A. Kaufman. "Method of Moments software for GPU hardware." In Expo on Emerging Technologies for a Smarter World (CEWIT 2011). IEEE, 2011. http://dx.doi.org/10.1109/cewit.2011.6135878.

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Bose, Arup, Rajat Subhra Hazra, and Koushik Saha. "Patterned Random Matrices and Method of Moments." In Proceedings of the International Congress of Mathematicians 2010 (ICM 2010). Published by Hindustan Book Agency (HBA), India. WSPC Distribute for All Markets Except in India, 2011. http://dx.doi.org/10.1142/9789814324359_0142.

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KURYLEV, Y. "MOMENTS' METHOD FOR INVERSE BOUNDARY VALUE PROBLEMS." In Proceedings of the Sixth International Workshop. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812702593_0034.

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Lee, Ikjin, Kyung K. Choi, and Liu Du. "Alternative Methods for Reliability-Based Robust Design Optimization Including Dimension Reduction Method." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99732.

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The objective of reliability-based robust design optimization (RBRDO) is to minimize the product quality loss function subject to probabilistic constraints. Since the quality loss function is usually expressed in terms of the first two statistical moments, mean and variance, many methods have been proposed to accurately and efficiently estimate the moments. Among the methods, the univariate dimension reduction method (DRM), performance moment integration (PMI), and percentile difference method (PDM) are recently proposed methods. In this paper, estimation of statistical moments and their sensi
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Reports on the topic "MOMENTS METHOD"

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Gallant, Ron, Raffaella Giacomini, and Giuseppe Ragusa. Generalized method of moments with latent variables. Institute for Fiscal Studies, 2013. http://dx.doi.org/10.1920/wp.cem.2013.5013.

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Taylor, Douglas. Hybrid Version of Method of Moments Computer Code: IBC3D. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada363040.

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Wilhelm, Daniel. Optimal bandwidth selection for robust generalized method of moments estimation. Cemmap, 2014. http://dx.doi.org/10.1920/wp.cem.2014.1514.

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Burnside, Craig, and Martin Eichenbaum. Small Sample Properties of Generalized Method of Moments Based Wald Tests. National Bureau of Economic Research, 1994. http://dx.doi.org/10.3386/t0155.

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Lynch, Anthony, and Jessica Wachter. Using Samples of Unequal Length in Generalized Method of Moments Estimation. National Bureau of Economic Research, 2008. http://dx.doi.org/10.3386/w14411.

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Glynn, Peter W., and Donald L. Iglehart. Estimation of Steady-State Central Moments by the Regenerative Method of Simulation. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada161435.

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Clark, W. Multiple coil pulsed magnetic resonance method to measure the SSC bending magnet multipole moments. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/7107279.

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Clark, W. G. (Multiple coil pulsed magnetic resonance method to measure the SSC bending magnet multipole moments). Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6233086.

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Clarke, Paul S., Tom M. Palmer, and Frank Windmeijer. Estimating structural mean models with multiple instrumental variables using the generalised method of moments. Institute for Fiscal Studies, 2011. http://dx.doi.org/10.1920/wp.cem.2011.2811.

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Neely, Christopher J. A Reconsideration of the Properties of the Generalized Method of Moments in Asset Pricing Models. Federal Reserve Bank of St. Louis, 1994. http://dx.doi.org/10.20955/wp.1994.010.

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