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Relevant bibliographies by topics / Data input

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Academic literature on the topic 'Data input'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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Journal articles on the topic "Data input"

1

Gadelha, Isaque Araujo. "Artificial Intelligence Security through Input Data Quality Steps." Núcleo do Conhecimento 02, no. 12 (2023): 24–38. https://doi.org/10.32749/nucleodoconhecimento.com.br/computer-science/input-data.

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In times of digital transformation, data generation constitutes a new type of asset, as it requires new forms of organizational learning, giving rise to new business models. The focus of all this transformation is Artificial Intelligence (AI), a subfield of Computer Science responsible for creating computational resources with capabilities similar to human reasoning for automated problem-solving. Elements of mathematics and engineering are used to reproduce aspects of human intelligence, as well as insights from other areas such as philosophy, mathematics, economics, neuroscience, psychology,

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Zhu, D., S. A. Billings, M. A. Balikhin, S. Wing, and H. Alleyne. "Multi-input data derivedDstmodel." Journal of Geophysical Research: Space Physics 112, A6 (2007): n/a. http://dx.doi.org/10.1029/2006ja012079.

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Felkey, Bill G., and Brent I. Fox. "Expanding Data Input Options." Hospital Pharmacy 39, no. 8 (2004): 802–8. http://dx.doi.org/10.1177/001857870403900812.

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Johnson, Mark E., and Mansooreh Mollaghasemi. "Simulation input data modeling." Annals of Operations Research 53, no. 1 (1994): 47–75. http://dx.doi.org/10.1007/bf02136826.

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Friebelová, Jana, and Ludvík Friebel. "Data envelopment analysis and negative input data." Acta Universitatis Bohemiae Meridionalis 10, no. 2 (2012): 85–88. http://dx.doi.org/10.32725/acta.2007.026.

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Arsenault, Kristi R., Sujay V. Kumar, James V. Geiger, et al. "The Land surface Data Toolkit (LDT v7.2) – a data fusion environment for land data assimilation systems." Geoscientific Model Development 11, no. 9 (2018): 3605–21. http://dx.doi.org/10.5194/gmd-11-3605-2018.

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Abstract. The effective applications of land surface models (LSMs) and hydrologic models pose a varied set of data input and processing needs, ranging from ensuring consistency checks to more derived data processing and analytics. This article describes the development of the Land surface Data Toolkit (LDT), which is an integrated framework designed specifically for processing input data to execute LSMs and hydrological models. LDT not only serves as a preprocessor to the NASA Land Information System (LIS), which is an integrated framework designed for multi-model LSM simulations and data assi

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Shiraz, Rashed Khanjani, Madjid Tavana, and Debora Di Caprio. "Chance-constrained data envelopment analysis modeling with random-rough data." RAIRO - Operations Research 52, no. 1 (2018): 259–84. http://dx.doi.org/10.1051/ro/2016076.

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Data envelopment analysis (DEA) is a useful management tool for measuring the relative efficiency of decision making units (DMUs) which consumes multiple inputs to produce multiple outputs. Although precise input and output data are fundamentally indispensable in classical DEA models, real-world problems often involve random and/or rough input and output data. We present a chance-constrained DEA model with random and rough (random-rough) input and output data and propose a deterministic equivalent model with quadratic constraints to solve the model. The main contributions of this paper are fou

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Gunning-Schepers, Louise. "The input data for prevent." Health Policy 12, no. 1-2 (1989): 69–148. http://dx.doi.org/10.1016/0168-8510(89)90135-8.

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Cheng, Russell C. H., and Christine S. M. Currie. "Input modelling for multimodal data." Journal of the Operational Research Society 71, no. 6 (2019): 1038–52. http://dx.doi.org/10.1080/01605682.2019.1609887.

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PIRAMUTHU, S. "Input data for decision trees." Expert Systems with Applications 34, no. 2 (2008): 1220–26. http://dx.doi.org/10.1016/j.eswa.2006.12.030.

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Dissertations / Theses on the topic "Data input"

1

Mathers, Christian. "Data input for scientific visualization." Thesis, University of Hull, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417164.

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Romeike, Ralf. "Output statt Input." Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2013/6431/.

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Die in der Fachdidaktik Informatik im Zusammenhang mit den Bildungsstandards seit Jahren diskutierte Outputorientierung wird mittelfristig auch für die Hochschullehre verbindlich. Diese Änderung kann als Chance aufgefasst werden, aktuellen Problemen der Informatiklehre gezielt entgegenzuwirken. Basierend auf der Theorie des Constructive Alignment wird vorgeschlagen, im Zusammenhang mit der Outputorientierung eine Abstimmung von intendierter Kompetenz, Lernaktivität und Prüfung vorzunehmen. Zusätzlich profitieren Lehramtsstudenten von den im eigenen Lernprozess erworbenen Erfahrungen im Umgang

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Єфіменко, Тетяна Михайлівна, Татьяна Михайловна Ефименко, Tetiana Mykhailivna Yefimenko, Олена Владиславівна Коробченко, Елена Владиславовна Коробченко, and Olena Vladyslavivna Korobchenko. "Informational Extreme Cluster Analysis of Input Data." Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/47076.

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The categorical model and decision support system learning algorithm are considered in the article. Proposed algorithm allows to create decision support system, which is functioning in a clusteranalysis state. Synthesis of the decision support system is based on maximization of informational system ability due to making additional information restrictions in the learning process.

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Löfving, Erik. "Organizing physical flow data : from input-output tables to data warehouses /." Linköping : Dept. of Mathematics, Univ, 2005. http://www.bibl.liu.se/liupubl/disp/disp2005/stat5s.pdf.

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Lind, Eric J., Steve Murray, Ilya Stevens, and Nick Drozdowski. "SENSATE-LINER EPLRS TELEMETERED DATA INPUT FOR ENCOMPASS." International Foundation for Telemetering, 2001. http://hdl.handle.net/10150/607669.

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International Telemetering Conference Proceedings / October 22-25, 2001 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>A systems engineering development for acquisition, transmission, processing, dissemination and display of information vital to combat casualty care and related first responder activities is presented. It utilizes a synergistic combination of two existing state-of-the-art Defense Advanced Research Projects Agency/Space and Naval Warfare Systems Center San Diego (DARPA/SSCSD) technologies (Sensate-Liner and ENCOMPASS) coupled via the Enhanced Position Location Repor

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Ettefaghian, Alireza. "Automated input data management in manufacturing process simulation." Thesis, University of Greenwich, 2015. http://gala.gre.ac.uk/14122/.

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Input Data Management (IDM) is a time consuming and costly process for Discrete Event Simulation (DES) projects. Input Data Management is considered as the basis of real-time process simulation (Bergmann, Stelzer and Strassburger, 2011). According to Bengtsson et al. (2009), data input phase constitutes on the average about 31% of the time of an entire simulation project. Moreover, the lack of interoperability between manufacturing applications and simulation software leads to a high cost to users in developing custom-built interfaces (NIST, 2011). Therefore, a standard structure is needed to

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Chan, Kam-kong Angus. "Learning Chinese keyboarding skill Cangjie input method /." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B40040100.

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Zhang, Shuyuan. "AlphaZero with Input Convex Neural Networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281860.

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Modelling and solving real-life problems using reinforcement learning (RL) approaches is a typical and important branch in the world of artificial intelligence (AI). For playing board games, AlphaZero has been proved to be successful in games such as Go, Chess, and Shogi against professional human players or other AI counterparts. The very basic components of AlphaZero algorithm are MCTS tree search and deep neural networks for state value and policy prediction. These deep neural networks are designed to fit the mapping function between a state and its value/policy to make the initialization o

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Pedrosa, Diogo de Carvalho. "Data input and content exploration in scenarios with restrictions." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-13042015-144651/.

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As technology evolves, new devices and interaction techniques are developed. These transformations create several challenges in terms of usability and user experience. Our research faces some challenges for data input or content exploration in scenarios with restrictions. It is not our intention to investigate all possible scenarios, but we deeply explore a broad range of devices and restrictions. We start with a discussion about the use of an interactive coffee table for exploration of personal photos and videos, also considering a TV set as an additional screen. In a second scenario, we pres

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Pierrou, Cajsa, and Oskar Malmström. "Adversarial Input Vulnerabilities in Data Structures Taught at KTH." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302415.

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The ever growing amount of data being collected online has led to a need for efficient methods of processing large data sets. One proposed and commonly implemented method is the use of Probabilistic Data Structures (PDSs). However, researchers have in recent years proposed attacks exploiting rudimentary adversarial input vulnerabilities in multiple PDSs. The simplicity of these attacks implies that the security of PDSs, and maybe data structures in general, have not been considered properly from an adversarial perspective. A possible reason for this may be a lack of education pertaining to dat

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Books on the topic "Data input"

1

Books, Time-Life, ed. Input/output. Time-Life Books, 1986.

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OCLC. Bibliographic input standards. 5th ed. OCLC, 1992.

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Canada, Atomic Energy of. Input Data Guide For Swift-sd. s.n, 1985.

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R, Weise David, and Pacific Southwest Forest and Range Experiment Station (Berkeley, Calif.), eds. DESIGN, a program to create data entry programs. Pacific Southwest Research Station, 1994.

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R, Weise David, and Pacific Southwest Forest and Range Experiment Station (Berkeley, Calif.), eds. DESIGN, a program to create data entry programs. Pacific Southwest Research Station, 1994.

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Asia-Pacific, Meeting of Statisticians on Input-Output Tables (1984 Tokyo Japan). Input-output models: Theory, data, and application. Institute of Developing Economies, 1985.

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Wuerth, J. Michael. DESIGN: A program to create data entry programs. U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Research Station, 1994.

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Prabhakar, Balaji. Multicast scheduling for input-queued switches. Hewlett Packard, 1996.

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9

Belles, Robert C. Environmental early warning systems (EEWS): Data input manual. US Army Corps of Engineers, Construction Engineering Research Laboratory, 1987.

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M, Ivy Elizabeth, and National Institute of Standards and Technology (U.S.), eds. Input data for multizone airflow and IAQ analysis. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2001.

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Book chapters on the topic "Data input"

1

Acton, Ciaran, Robert Miller, John Maltby, and Deirdre Fullerton. "Data Input." In SPSS for Social Scientists. Macmillan Education UK, 2009. http://dx.doi.org/10.1007/978-1-137-01390-3_3.

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Miller, Robert L., Ciaran Acton, Deirdre A. Fullerton, John Maltby, and Jo Campling. "Data Input." In SPSS for Social Scientists. Macmillan Education UK, 2002. http://dx.doi.org/10.1007/978-0-230-62968-4_3.

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Trapp, Stefan, and Michael Matthies. "Data Input." In Chemodynamics and Environmental Modeling. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80429-8_16.

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Haslwanter, Thomas. "Data Input." In An Introduction to Statistics with Python. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97371-1_3.

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Weik, Martin H. "input data." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_9072.

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Haslwanter, Thomas. "Data Input." In An Introduction to Statistics with Python. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28316-6_3.

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Taylor, Graham. "Data Input Methods." In Making Sense of Information Technology. Macmillan Education UK, 1988. http://dx.doi.org/10.1007/978-1-349-10649-3_3.

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Nelli, Fabio. "Handling Input Data." In Create Web Charts With jqPlot. Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0862-5_12.

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Thatcher, Jim. "Accessible Data Input." In Constructing Accessible Web Sites. Apress, 2002. http://dx.doi.org/10.1007/978-1-4302-1116-7_7.

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Nelli, Fabio. "Handling Input Data." In Beginning JavaScript Charts. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-6290-9_17.

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Conference papers on the topic "Data input"

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Fotiadis, Filippos, and Kyriakos G. Vamvoudakis. "Input-Output Data-Driven Sensor Selection." In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886647.

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Baril, Dominic, Simon-Pierre Deschênes, Luc Coupal, et al. "DRIVE: Data-driven Robot Input Vector Exploration." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611172.

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Mishra, Vikas Kumar, Sandesh Athni Hiremath, and Naim Bajcinca. "Data-driven simultaneous input and state estimation." In 2025 33rd Mediterranean Conference on Control and Automation (MED). IEEE, 2025. https://doi.org/10.1109/med64031.2025.11073482.

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Ge, Lei, and Haoran Xu. "The Impact of Education Input on China's Economic Growth." In International Conference on Data Science and Engineering. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0012823800004547.

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Wang, Songhao, Haowei Wang, Jianglin Xia, and Xiuqin Xu. "Simulation Optimization With Non-Stationary Streaming Input Data." In 2024 Winter Simulation Conference (WSC). IEEE, 2024. https://doi.org/10.1109/wsc63780.2024.10838631.

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Bajelani, Mohammad, and Klaske van Heusden. "Data-Driven Safety Filter: An Input-Output Perspective." In 2024 American Control Conference (ACC). IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10644850.

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Hassan Ghuloum Mohamed, Ruwda Abdalla, Milica Labudović, Dragan Golubović, and Nataša Vlahović. "HFSWR Input Data Visualization and Multi-Target Simulation." In 2024 32nd Telecommunications Forum (TELFOR). IEEE, 2024. https://doi.org/10.1109/telfor63250.2024.10819184.

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Gheorghiu, Octavian. "Mix Reality, Data and Experiences." In Design Computation Input/Output 2022. Design Computation, 2022. http://dx.doi.org/10.47330/dcio.2022.pepg4740.

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The workshop will explore the workflow of preparing and transferring data from CAD packages to the Unity Game engine. A 3d model of a house will be prepared for the mix reality experiences, going through the process of optimising the model geometry, adding textures and optimising the output required for mobile devices. In the game engine, we will prepare a diorama model that can be shared either as an augmented reality experience or as a virtual reality experience. We will be exploring how to add time base effects and create a user interface for the mix reality experiences.

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Hanna, Sean. "Collaboration and Creativity: AI, Models, and Heterogeneous Data Sources." In Design Computation Input/Output 2021. Design Computation, 2021. http://dx.doi.org/10.47330/dcio.2021.bqwa4589.

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Speed, Chris. "Designing from/with/by Data: Revisiting the ablative framework for Design Computation." In Design Computation Input/Output 2020. Design Computation Ltd., 2020. http://dx.doi.org/10.47330/dcio.2020.tjhp6808.

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Reports on the topic "Data input"

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Yen, Molly M. Data Input for RADARPD. Window Version,. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada289016.

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KUFAHL, M. A. Hydrogen Generation Rate Model Calculation Input Data. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/803014.

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Hunt, Brian D., Aubrey Celia Eckert-Gallup, Lainy Dromgoole Cochran, et al. Error Analysis of CM Data Products Input Distributions. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1365477.

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Sullivan, T. M. Disposal Unit Source Term (DUST) data input guide. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10162170.

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Persily, Andrew K., and Elizabeth M. Ivy. Input data for multizone airflow and IAQ analysis. National Institute of Standards and Technology, 2001. http://dx.doi.org/10.6028/nist.ir.6585.

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Zirkind, Naomi. Allan Variance Calculation for Nonuniformly Spaced Input Data. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada616850.

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Barlow, Jay. SWFSC Marine Mammal Abundance Data for Input into LMRIS. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada399279.

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Augustine, Chad, and Nathan Blair. Storage Futures Study: Storage Technology Modeling Input Data Report. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1785959.

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Huff, Karen, Robert McDougall, Terrie Walmsley, and Angel Aguiar. Contributing Input-Output Tables to the GTAP Data Base. GTAP Technical Paper, 2000. http://dx.doi.org/10.21642/gtap.tp01.

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This document is written for those who wish to contribute to the GTAP data base, whether by providing an input-output table for a country not separately represented in the data base, or by updating the table for a region that is already represented. It provides specifications and advice on the structure of the table, sectoral classification, treatment of imports, and other key points. It also describes what we at the Center for Global Trade Analysis do once we receive your table. This version has been revised for use by contributors to release 11 of the GTAP data base. In particular, all conco

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Johannesson, G., T. McCollom, and C. Barr. Spatial Statistical Procedures to Validate Input Data in Energy Models. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/900145.

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