Relevant bibliographies by topics / Numerical data analysis

Contents

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

Academic literature on the topic 'Numerical data analysis'

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

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Journal articles on the topic "Numerical data analysis"

1

Song, Daegene. "Data Analysis in an Entanglement Network Using Numerical Methods." NeuroQuantology 20, no. 2 (2022): 158–64. http://dx.doi.org/10.14704/nq.2022.20.2.nq22084.

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While the foundation of quantum theory has been debated, its pragmatism has made it enormously productive. Establishing secret keys over long distances has been realized in the real world. Once considered only a hype, quantum computers have also been implemented in laboratories and are performing computations that are superior to their classical counterparts. In this paper, building on previous work, three 2-level entangled states are studied. In particular, the extensive range of states that yield the near-optimal result when entanglement swapping is applied at joints is numerically examined.
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Boros, Endre, Peter L. Hammer, Toshihide Ibaraki, and Alexander Kogan. "Logical analysis of numerical data." Mathematical Programming 79, no. 1-3 (1997): 163–90. http://dx.doi.org/10.1007/bf02614316.

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Scott, Larkin B., and L. Ridgway Scott. "Efficient Methods for Data Smoothing." SIAM Journal on Numerical Analysis 26, no. 3 (1989): 681–92. http://dx.doi.org/10.1137/0726040.

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Eldén, Lars. "Numerical linear algebra in data mining." Acta Numerica 15 (May 2006): 327–84. http://dx.doi.org/10.1017/s0962492906240017.

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Ideas and algorithms from numerical linear algebra are important in several areas of data mining. We give an overview of linear algebra methods in text mining (information retrieval), pattern recognition (classification of handwritten digits), and PageRank computations for web search engines. The emphasis is on rank reduction as a method of extracting information from a data matrix, low-rank approximation of matrices using the singular value decomposition and clustering, and on eigenvalue methods for network analysis.
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Romanov, L. N. "Risk minimization for atmospheric data restoration." Numerical Analysis and Applications 2, no. 2 (2009): 173–78. http://dx.doi.org/10.1134/s1995423909020086.

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Hassouba, M. A., H. I. Al-Naggar, N. M. Al-Naggar, and C. Wilke. "Numerical Analysis and Simulation Analysis for Space-Time Data." Contributions to Plasma Physics 46, no. 10 (2006): 798–806. http://dx.doi.org/10.1002/ctpp.200610080.

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Wang, Y. B., and T. Wei. "Numerical differentiation for two-dimensional scattered data." Journal of Mathematical Analysis and Applications 312, no. 1 (2005): 121–37. http://dx.doi.org/10.1016/j.jmaa.2005.03.025.

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Mohammadi, Ali, Javad Shohani, and Rajabali Borzooei. "Numerical Taxonomy Analysis With Trapezoidal Fuzzy Data." Journal of Mathematics and Computer Science 02, no. 01 (2011): 100–110. http://dx.doi.org/10.22436/jmcs.002.01.11.

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Hare, Jonathan. "Simple numerical analysis of longboard speedometer data." Physics Education 48, no. 6 (2013): 723–30. http://dx.doi.org/10.1088/0031-9120/48/6/723.

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Smith, Dan S. P., Bruce M. Law, Martin Smock, and David P. Landau. "Numerical analysis of ellipsometric critical adsorption data." Physical Review E 55, no. 1 (1997): 620–36. http://dx.doi.org/10.1103/physreve.55.620.

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Dissertations / Theses on the topic "Numerical data analysis"

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Chen, Chuan. "Numerical algorithms for data processing and analysis." HKBU Institutional Repository, 2016. https://repository.hkbu.edu.hk/etd_oa/277.

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Magnetic nanoparticles (NPs) with sizes ranging from 2 to 20 nm in diameter represent an important class of artificial nanostructured materials, since the NP size is comparable to the size of a magnetic domain. They have potential applications in data storage, catalysis, permanent magnetic nanocomposites, and biomedicine. To begin with, a brief overview on the background of Fe-based bimetallic NPs and their applications for data-storage and catalysis was presented in Chapter 1. In Chapter 2, L10-ordered FePt NPs with high coercivity were directly prepared from a novel bimetallic acetylenic alt
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Young, Christopher J. "Development of Numerical Estimation: Data and Models." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1316454592.

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Koc, Birgul. "Numerical Analysis for Data-Driven Reduced Order Model Closures." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/103202.

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This dissertation contains work that addresses both theoretical and numerical aspects of reduced order models (ROMs). In an under-resolved regime, the classical Galerkin reduced order model (G-ROM) fails to yield accurate approximations. Thus, we propose a new ROM, the data-driven variational multiscale ROM (DD-VMS-ROM) built by adding a closure term to the G-ROM, aiming to increase the numerical accuracy of the ROM approximation without decreasing the computational efficiency. The closure term is constructed based on the variational multiscale framework. To model the closure term, we use d
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Jia, Hong. "Clustering of categorical and numerical data without knowing cluster number." HKBU Institutional Repository, 2013. http://repository.hkbu.edu.hk/etd_ra/1495.

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Fairbanks, James Paul. "Graph analysis combining numerical, statistical, and streaming techniques." Diss., Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/54972.

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Graph analysis uses graph data collected on a physical, biological, or social phenomena to shed light on the underlying dynamics and behavior of the agents in that system. Many fields contribute to this topic including graph theory, algorithms, statistics, machine learning, and linear algebra. This dissertation advances a novel framework for dynamic graph analysis that combines numerical, statistical, and streaming algorithms to provide deep understanding into evolving networks. For example, one can be interested in the changing influence structure over time. These disparate techniques each co
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Linnard, David Simon. "Long range seasonal weather prediction : data analysis and numerical experiments." Thesis, University of Exeter, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.237875.

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Duong, Viêt Dung. "Development of numerical approaches for nuclear magnetic resonance data analysis." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEN010/document.

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La résonance magnétique nucléaire (RMN) est devenue une des techniques spectroscopiques les plus puissantes et polyvalentes de la chimie analytique avec des applications multiples dans des différents domaines de la recherche. Cependant, un des inconvénients majeurs de la RMN est le processus fastidieux d'analyse de donnée qui nécessite fréquemment des interventions humaines. Ces dernières font diminuer non seulement l'efficacité et l'objectivité des études mais également renferment les champs d'applications potentielles de la RMN pour les non-initiés. Par conséquent, le développement des métho
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Siu, Ka Wai. "Numerical algorithms for data analysis with imaging and financial applications." HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/550.

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In this thesis, we study modellings and numerical algorithms to data analysis with applications to image processing and financial forecast. The thesis is composed of two parts, namely the tensor regression and data assimilation methods for image restoration.;We start with investigating the tensor regression problem in Chapter 2. It is a generalization of a classical regression in order to adopt and analyze much more information by using multi-dimensional arrays. Since the regression problem is subject to multiple solutions, we propose a regularized tensor regression model to the problem. By im
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Howe, Bill. "Gridfields: Model-Driven Data Transformation in the Physical Sciences." PDXScholar, 2006. https://pdxscholar.library.pdx.edu/open_access_etds/2676.

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Scientists' ability to generate and store simulation results is outpacing their ability to analyze them via ad hoc programs. We observe that these programs exhibit an algebraic structure that can be used to facilitate reasoning and improve performance. In this dissertation, we present a formal data model that exposes this algebraic structure, then implement the model, evaluate it, and use it to express, optimize, and reason about data transformations in a variety of scientific domains. Simulation results are defined over a logical grid structure that allows a continuous domain to be represente
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Noble, Christopher Aaron. "Analytical and Numerical Techniques for the Optimal Design of Mineral Separation Circuits." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/23224.

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The design of mineral processing circuits is a complex, open-ended process.  While several tools and methodologies are available, extensive data collection accompanied with trial-and-error simulation are often the predominant technical measures utilized throughout the process.  Unfortunately, this approach often produces sub-optimal solutions, while squandering time and financial resources.  This work proposes several new and refined methodologies intended to assist during all stages of circuit design.  First, an algorithm has been developed to automatically determine circuit analytical soluti
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Books on the topic "Numerical data analysis"

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Chartered Association of Certified Accountants., ed. Numerical analysis & data processing. 3rd ed. Brierley Price Prior, 1985.

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1938-, Woolf Emile, Tanna Suresh, and Singh Karam, eds. Numerical analysis and data processing. Macdonald & Evans, 1986.

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Hamming, R. W. Introduction to applied numerical analysis. Dover Publications, 2012.

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Lindfield, G. R. Microcomputers in numerical analysis. E. Horwood, 1989.

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Ronald), Kincaid David (David, ed. Numerical mathematics and computing. 7th ed. Brooks/Cole, Cengage Learning, 2013.

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Optiz, Otto, ed. Conceptual and Numerical Analysis of Data. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-75040-3.

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Howard, P. J. A. Numerical analysis of soil physiological data. Institute of Terrestrial Ecology, Merlewood Research Station, 1985.

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Kirkby, Dave. Handling data. Heinemann Library, 2000.

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Hamming, R. W. Introduction to applied numerical analysis. Hemisphere Pub. Corp., 1989.

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Gerald, Curtis F. Applied numerical analysis. 5th ed. Addison-Wesley, 1994.

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Book chapters on the topic "Numerical data analysis"

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Jenkins, L. M. "Data analysis." In Numerical Techniques. CRC Press, 2023. http://dx.doi.org/10.1201/9781003422013-4.

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Johansson, Robert. "Data Processing and Analysis." In Numerical Python. Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0553-2_12.

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Johansson, Robert. "Data Processing and Analysis." In Numerical Python. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-4246-9_12.

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Johansson, Robert. "Data Processing and Analysis." In Numerical Python. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0413-7_12.

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Mastroeni, Isabella. "Numerical Power Analysis." In Programs as Data Objects. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44978-7_8.

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Borcard, Daniel, François Gillet, and Pierre Legendre. "Exploratory Data Analysis." In Numerical Ecology with R. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7976-6_2.

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Barthélemy, Jean-Pierre, and François Brucker. "Average Consensus in Numerical Taxonomy and Some Generalizations." In Data Analysis. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-58250-9_8.

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Plonka, Gerlind, Daniel Potts, Gabriele Steidl, and Manfred Tasche. "Fast Fourier Transforms for Nonequispaced Data." In Numerical Fourier Analysis. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04306-3_7.

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Plonka, Gerlind, Daniel Potts, Gabriele Steidl, and Manfred Tasche. "Fast Fourier Transforms for Nonequispaced Data." In Numerical Fourier Analysis. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35005-4_7.

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Borcard, Daniel, François Gillet, and Pierre Legendre. "Spatial Analysis of Ecological Data." In Numerical Ecology with R. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7976-6_7.

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Conference papers on the topic "Numerical data analysis"

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Watson, G. A., Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Robust Solutions to Linear Data Fitting Problems." In Numerical Analysis and Applied Mathematics. AIP, 2007. http://dx.doi.org/10.1063/1.2790151.

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Oliveira, Teresa A., Theodore E. Simos, George Psihoyios, Ch Tsitouras, and Zacharias Anastassi. "Symposium: Statistical Modeling and Data Analysis." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3637922.

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Soetaert, Karline, Dick van Oevelen, Theodore E. Simos, George Psihoyios, Ch Tsitouras, and Zacharias Anastassi. "Modelling Marine Biological and Biogeochemical Data." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3636664.

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Khoromskij, B. N., and A. Litvinenko. "Data Sparse Computation of the Karhunen‐Loève Expansion." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2008. American Institute of Physics, 2008. http://dx.doi.org/10.1063/1.2990920.

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AbuDahab, Khalil, Dong-ling Xu, and John Keane. "Induction of belief decision trees from data." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756644.

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Celis, O. Salazar, A. Cuyt, and J. Van Deun. "Symbolic and Interval Rational Interpolation: the Problem of Unattainable Data." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2008. American Institute of Physics, 2008. http://dx.doi.org/10.1063/1.2990963.

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Rudić, Gordana, Theodore E. Simos, George Psihoyios, Ch Tsitouras, and Zacharias Anastassi. "Constraints Modeling in FRBR Data Model Using OCL." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3636857.

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D’Amore, L., R. Arcucci, L. Marcellino, et al. "A Parallel Three-dimensional Variational Data Assimilation Scheme." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3636965.

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Smaglichenko, Tatyana A., Theodore E. Simos, George Psihoyios, Ch Tsitouras, and Zacharias Anastassi. "Modification of Gaussian Elimination to the Complex Seismic Data." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3637779.

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Gonçalves, A. Manuela, Marco Costa, Theodore E. Simos, George Psihoyios, Ch Tsitouras, and Zacharias Anastassi. "Using Udometric Network Data to Estimate an Environmental Covariate." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3637929.

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Reports on the topic "Numerical data analysis"

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Jha, Alok K. Spar Floating Platform: Numerical Analysis and Comparison with Data. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada390462.

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Christodoulou, Christos. Ionosphere-Thermosphere Coupling - Data Analysis and Numerical Simulation Study. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada599154.

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Piro, Dominic, Kyle A. Brucker, Thomas T. O'Shea, et al. Joint High Speed Sealift (JHSS) Segmented Model Test Data Analysis and Validation of Numerical Simulations. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada576106.

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Watts, Christopher A. Chaos and simple determinism in reversed field pinch plasmas: Nonlinear analysis of numerical simulation and experimental data. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10189484.

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Martin, M. P. Analysis of Low-Frequency Unsteadiness in Shock and Turbulent Boundary Layer Interactions Using Direct Numerical Simulation Data. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada547547.

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Blundell, S. User guide : the DEM Breakline and Differencing Analysis Tool—gridded elevation model analysis with a convenient graphical user interface. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45040.

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Gridded elevation models of the earth’s surface derived from airborne lidar data or other sources can provide qualitative and quantitative information about the terrain and its surface features through analysis of the local spatial variation in elevation. The DEM Breakline and Differencing Analysis Tool was developed to extract and display micro-terrain features and vegetative cover based on the numerical modeling of elevation discontinuities or breaklines (breaks-in-slope), slope, terrain ruggedness, local surface optima, and the local elevation difference between first surface and bare earth
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Gandelman, Néstor, Flavia Roldán, and Sofía Viera. An Examination of Numerical Portability in Mobile Communication in Uruguay. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013380.

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This paper examines the effects of the introduction of mobile number portability (MNP) using data from Uruguay. MNP allows customers to switch mobile providers while retaining their phone number, thereby reducing switching costs and potentially enhancing competition. Our analysis reveals that firms responded by increasing the share of postpaid contracts, partially countering the exogenous reduction in switching costs with new endogenous barriers. We find that while market concentration increased in terms of subscriber share, it decreased for data traffic, reflecting differing customer behavior
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Hoch, Brendon, and Samantha Cook. A 10-Year monthly climatology of wind direction : case-study assessment. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/46912.

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A 10-year monthly climatology of wind direction in compass degrees is developed utilizing datasets from the National Oceanic Atmospheric Administration, Climate Forecast System. Data retrieval methodologies, numerical techniques, and scientific analysis packages to develop the climatology are explored. The report describes the transformation of input data in Gridded Binary format to the Geographic Tagged Image File Format to support geospatial analyses. The specific data sources, software tools, and data-verification techniques are outlined.
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Gruber, Arnold, Wang Zonghao, Albert Thomasell, et al. The Impact of NOAA Satellite Soundings on the Numerical Analysis and Forecast System of the People's Republic of China. Part 1. FGGE Data. Part 2. December 1987 Data. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada227463.

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McAlpin, Jennifer N., and Cassandra G. Ross. Houston Ship Channel Expansion Channel Improvement Project (ECIP) Numerical Modeling Report : Increased Channel Width Analysis. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39739.

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The Houston Ship Channel is one of the busiest deep -draft navigation channels in the United States and must be able to accommodate larger vessel dimensions over time. The U.S. Army Engineer District, Galveston (SWG) requested the U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory perform hydrodynamic and sediment modeling of proposed modifications along the Houston Ship Channel. The modeling results are necessary to provide data for salinity and sediment transport analysis a s well as ship simulation studies. SWG provided a project alternative that includes
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