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Relevant bibliographies by topics / Forecasting the future

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Academic literature on the topic 'Forecasting the future'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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Journal articles on the topic "Forecasting the future"

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Eastman, Peggy. "Forecasting the Future." Oncology Times 28, no. 1 (2006): 28. http://dx.doi.org/10.1097/01.cot.0000289811.26994.52.

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Wilson, Kris M. "Forecasting the Future." Science Communication 24, no. 2 (2002): 246–68. http://dx.doi.org/10.1177/107554702237849.

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Hansen, Keith. "CTBT: Forecasting the future." Bulletin of the Atomic Scientists 61, no. 2 (2005): 50–57. http://dx.doi.org/10.2968/061002013.

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Slater, Stefan, and Ryan Baker. "Forecasting future student mastery." Distance Education 40, no. 3 (2019): 380–94. http://dx.doi.org/10.1080/01587919.2019.1632169.

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Lewis-Beck, Michael S., and Charles Tien. "The Future in Forecasting." American Politics Quarterly 24, no. 4 (1996): 468–91. http://dx.doi.org/10.1177/1532673x9602400405.

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Gardner, Everette S., and Spyros Makridakis. "The future of forecasting." International Journal of Forecasting 4, no. 3 (1988): 325–30. http://dx.doi.org/10.1016/0169-2070(88)90100-8.

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Ord, J. Keith. "Future developments in forecasting." International Journal of Forecasting 4, no. 3 (1988): 389–401. http://dx.doi.org/10.1016/0169-2070(88)90106-9.

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Hansen, Keith. "CTBT: FORECASTING the future." Bulletin of the Atomic Scientists 61, no. 2 (2005): 50–57. http://dx.doi.org/10.1080/00963402.2005.11460871.

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Woodell, Stanley R. J. "Forecasting our environmental future." Futures 21, no. 6 (1989): 647–58. http://dx.doi.org/10.1016/0016-3287(89)90049-9.

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Lenel, Laetitia. "Mapping the Future." Jahrbuch für Wirtschaftsgeschichte / Economic History Yearbook 59, no. 2 (2018): 377–413. http://dx.doi.org/10.1515/jbwg-2018-0013.

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Abstract The recognition of the key importance of economic stability after World War I sparked interest in business forecasting on both sides of the Atlantic. This article explores the creation and the rapid international and domestic dissemination of the Harvard Index of General Business Conditions in the early 1920s, which contemporaries celebrated as the first “scientific” approach to business forecasting. Drawing on multi-site archival research, the paper analyses the extension of the index by an information-exchange-based method in the 1920s and traces its influence on the survey-based fo

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Dissertations / Theses on the topic "Forecasting the future"

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Pedersen, Tore. "Affective Forecasting: Predicting Future Satisfaction with Public Transport." Licentiate thesis, Karlstad : Faculty of Economic Sciences, Communication and IT, Psychology, Karlstads universitet, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-4868.

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Freixieiro, Gomes de Mello Rafael. "Design-led future forecasting model for mobile communications." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/13142.

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Since the establishment of the wireless sector, design has been playing a wide range of roles. Specialized literature has been extensively reporting the use of this discipline associated with NPD, focusing on hardware and software development in the mobile communications. On the other hand, evidences of its use to support forecasting are scarce and generic. Finally, formal publications addressing future forecasting from a design perspective in the context of mobile communications have never been reported, leading to a knowledge gap that needs to be addressed. This research investigates the str

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Brooks, Lonny J. "Working in the future tense : materializing stories of emerging technologies and cyberculture at the Institute for the Future /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2004. http://wwwlib.umi.com/cr/ucsd/fullcit?p3144308.

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Tate, Charles Ulysses. "Mental simulation of the future : processes and principles /." view abstract or download file of text, 2006. http://proquest.umi.com/pqdweb?index=0&did=1251849171&SrchMode=1&sid=1&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1181338221&clientId=11238.

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Thesis (Ph. D.)--University of Oregon, 2006.<br>Typescript. Includes vita and abstract. Includes bibliographical references (leaves 152-158). Also available for download via the World Wide Web; free to University of Oregon users.

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Chong, Yuk-lan, and 莊玉蘭. "Review and analyze the IPCC future climate change projections." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B4673434X.

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Laham, Simon M. Psychology Faculty of Science UNSW. "Feeling the future: the role of current emotions in affective forecasting." Awarded by:University of New South Wales. School of Psychology, 2005. http://handle.unsw.edu.au/1959.4/23369.

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The aim of this thesis was to examine the effects of people???s current moods and emotions on affective forecasting. The primary hypothesis was mood congruence: people currently feeling happy were expected to generate relatively positive affective forecasts and people currently feeling sad were expected to generate relatively negative forecasts compared to people currently in a neutral state. In addition, a moderated mood congruence hypothesis, predicted by the Affect Infusion Model (AIM, Forgas, 1995), stating that mood congruence effects are more pronounced under conditions of constructive p

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Engelbrektsson, Gustaf. "Forecasting future delivery orders to support vehicle routing and selection." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-236482.

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Courier companies receive delivery orders at different times in advance. Some orders are known long beforehand, some arise with a very short notice. Currently the order delegation, deciding which car is going to drive which order, is performed completely manually by a (TL) where the TL use their experience to guess upcoming orders. If delivery orders could be predicted beforehand, algorithms could create suggestions for vehicle routing and vehicle selection. This thesis used the data set from a Stockholm based courier company. The Stockholm area was divided into zones using agglomerative clust

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Andriyas, Sanyogita. "Analysis of Irrigation Decision Behavior and Forecasting Future Irrigation Decisions." DigitalCommons@USU, 2012. https://digitalcommons.usu.edu/etd/1359.

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Farmers play a pivotal role in food production. To be economically successful, farmers must make many decisions during the course of a growing season about the allocation of inputs to production. For farmers in arid regions, one of these decisions is whether to irrigate. This research is the first of its kind to investigate the reasons that drive a farmer to make irrigation decisions and use those reasons/factors to forecast future irrigation decisions. This study can help water managers and canal operators to estimate short-term irrigation demands, thereby gaining information that might be us

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Aronsson, Henrik. "Modeling strategies using predictive analytics : Forecasting future sales and churn management." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167130.

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This project was carried out for a company named Attollo, a consulting firm specialized in Business Intelligence and Corporate Performance Management. The project aims to explore a new area for Attollo, predictive analytics, which is then applied to Klarna, a client of Attollo. Attollo has a partnership with IBM, which sells services for predictive analytics. The tool that this project is carried out with, is a software from IBM: SPSS Modeler. Five different examples are given of what and how the predictive work that was carried out at Klarna consisted of. From these examples, the different pr

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Shepero, Mahmoud. "Modeling and forecasting the load in the future electricity grid : Spatial electric vehicle load modeling and residential load forecasting." Licentiate thesis, Uppsala universitet, Fasta tillståndets fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-359432.

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The energy system is being transitioned to increase sustainability. This transition has been accelerated by the increased awareness about the adverse effects of the greenhouse gas (GHG) emissions into the atmosphere. The transition includes switching to electricity as the energy carrier in some sectors, e.g., transportation, increasing the contribution of renewable energy sources (RES) to the grid, and digitalizing the grid services. Electric vehicles (EVs) are promoted and subsidized in many countries among the sustainability initiatives. Consequently, the global sales of EVs rapidly increase

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Books on the topic "Forecasting the future"

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Gardner, Everette S. "The future of forecasting". INSEAD, 1986.

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1950-, Härter Manfred, ed. The Future of forecasting. TÜV Rheinland, 1991.

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Ball, James T. Our future travel. Trafford, 2005.

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Frey, Thomas J. Nanotechnology: The future. CRC Press, 2008.

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Lardy, Nicholas R. The future of China. The National Bureau of Asian Research, 1992.

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Hiemstra, Glen. Turning the Future Into Revenue. John Wiley & Sons, Ltd., 2006.

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McCarthy, Kevin F. California's democratic future. Rand, 1986.

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Morlidge, Steve. Future ready: How to master business forecasting. Wiley, 2010.

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Morlidge, Steve. Future ready: How to master business forecasting. Wiley, 2010.

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Morlidge, Steve. Future ready: How to master business forecasting. Wiley, 2010.

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Book chapters on the topic "Forecasting the future"

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Bishop, Peter C., and Andy Hines. "Forecasting." In Teaching about the Future. Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9781137020703_8.

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Meldrum, Mike, and Malcolm McDonald. "Forecasting Future Sales." In Key Marketing Concepts. Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-13877-7_41.

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Saaty, Thomas L., and Luis G. Vargas. "Knowing the Future." In Prediction, Projection and Forecasting. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-015-7952-0_1.

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Zheng, Xiaolian, and Ben M. Chen. "Future Research." In Stock Market Modeling and Forecasting. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5155-5_8.

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Dannecker, Lars. "Conclusion and Future Work." In Energy Time Series Forecasting. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-11039-0_7.

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Zheng, Yafei, Kin Keung Lai, and Shouyang Wang. "Conclusions and future research." In Forecasting Air Travel Demand. Routledge, 2018. http://dx.doi.org/10.4324/9781351215503-9.

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Bluestein, Howard B. "Forecasting and future work." In Severe Convective Storms and Tornadoes. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-05381-8_7.

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Westland, Stephen, and Caroline Hemingray. "The future of fashion forecasting." In Fashion Trends and Forecasting. Routledge, 2025. https://doi.org/10.4324/9781003415589-13.

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Okunev, Rhoda. "Forecasting: Planning for Future Scenarios." In Analytics for Retail. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-7830-7_11.

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Wright, George. "Using Judgement to Anticipate the Future." In Knowledge and Space. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-76841-5_2.

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Abstract This chapter discusses judgmental probability forecasting, judgmental adjustments to time series forecasting, the Delphi method, and the intuitive logics method of developing scenarios. I describe and discuss the use of scenarios in a practical case example, and I discuss this range of judgment methods as alternative ways of forecasting and anticipating the future. We will see that judgmental probability forecasting, adjustments to time series, and Delphi are focussed on forecasting single quantities, or outcomes. By contrast, scenario thinking produces broad-brush anticipations of th

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Conference papers on the topic "Forecasting the future"

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Hsieh, Elvis, Preston Fu, and Jonathan Chen. "Reasoning and Tools for Human-Level Forecasting." In Proceedings of the Workshop on the Future of Event Detection (FuturED). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.futured-1.5.

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Jain, Ashish, Pankaj Gupta, Hemlatha Kaur Saran, Devendra Singh Parmar, Jai Prakash Bhati, and Daksh Rawat. "Forecasting Future Sales Using Linear Regression Approach." In 2024 International Conference on Cybernation and Computation (CYBERCOM). IEEE, 2024. https://doi.org/10.1109/cybercom63683.2024.10803255.

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Giganti, Antonio, Sara Mandelli, Paolo Bestagini, et al. "Back to the Future: GNN-Based No₂ Forecasting Via Future Covariates." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642608.

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Cao, Guoer. "Forecasting the Future Development of ABCtronics: A Comprehensive Analysis." In International Conference on Data Science and Engineering. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0012850300004547.

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Mir, Taifa Ayoub, Deepak Banerjee, Rahul Chauhan, and Mukesh Singh. "Forecasting Future Trajectories in Rubber Technology Using Machine Learning." In 2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS). IEEE, 2024. http://dx.doi.org/10.1109/iciteics61368.2024.10625155.

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Preeti, Nikhil Sharma, and Vikash Garg. "Forecasting the Future: Exploring Advanced Trends in Digital Education." In 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE). IEEE, 2024. https://doi.org/10.1109/aece62803.2024.10911732.

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Sobral, Pedro, Rafael Teixeira, Ricardo Marques, Nuno Figueiredo, Mário Antunes, and Diogo Gomes. "Improving Automotive Aftermarket Forecasting with MLOps." In 2024 11th International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, 2024. http://dx.doi.org/10.1109/ficloud62933.2024.00065.

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Cui, Christopher Genzhuo. "Forecasting Future EV Sales: A Comparative Study of Model Performance." In International Conference on Data Analysis and Machine Learning. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013487700004619.

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Hrithik, P. M., Rakesh Malhan, Manik Rakhra, Rashmi Mathur, Richa Nandra, and Rakhi Nagpal. "Analysis of Mortality Patterns and Forecasting Future Trends: Actuarial Statistical Approaches." In 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS). IEEE, 2024. https://doi.org/10.1109/ictacs62700.2024.10841310.

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Dinh, Tan Ngoc, Hoang Minh Nguyen, Stanley Luong, Mehdi Seyedmahmoudian, Jaideep Chandran, and Alex Stojcevski. "Applying Deep Learning for Forecasting Future Payload Size in Internet Traffic." In 2024 International Conference on Advanced Technologies for Communications (ATC). IEEE, 2024. https://doi.org/10.1109/atc63255.2024.10908164.

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Reports on the topic "Forecasting the future"

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Bartels, P., H. Rijgersberg, J. Groot, H. Bos-Brouwers, and B. van Gogh. Future Food Basket : methodology for the forecasting of the future food demand. Wageningen Food & Biobased Research, 2018. http://dx.doi.org/10.18174/456661.

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Diebold, Francis. The Past, Present, and Future of Macroeconomic Forecasting. National Bureau of Economic Research, 1997. http://dx.doi.org/10.3386/w6290.

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Tremblay, Bruno. Forecasting Future Sea Ice Conditions: A Lagrangian Approach. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada617626.

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Moore, Breanna Moore, Christian Ruhl Ruhl, and Jared Rosen Rosen. How to See the Future : Forecasting and Global Policy. Perry World House, University of Pennsylvania, 2021. http://dx.doi.org/10.15868/socialsector.39696.

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Ciganda, Daniel, Julia Hellstrand, and Mikko Myrskylä. Future fertility scenarios in Finland: a computational forecasting approach. Max Planck Institute for Demographic Research, 2023. http://dx.doi.org/10.4054/mpidr-wp-2023-010.

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Fisher, Andmorgan, Taylor Hodgdon, and Michael Lewis. Time-series forecasting methods : a review. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49450.

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Time-series forecasting techniques are of fundamental importance for predicting future values by analyzing past trends. The techniques assume that future trends will be similar to historical trends. Forecasting involves using models fit on historical data to predict future values. Time-series models have wide-ranging applications, from weather forecasting to sales forecasting, and are among the most effective methods of forecasting, especially when making decisions that involve uncertainty about the future. To evaluate forecast accuracy and to compare among models fitted to a time series, thre

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Page, Michael, Catherine Aiken, and Dewey Murdick. Future Indices: How Crowd Forecasting Can Inform the Big Picture. Center for Security and Emerging Technology, 2020. http://dx.doi.org/10.51593/20200093.

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Foretell is CSET's crowd forecasting pilot project focused on technology and security policy. It connects historical and forecast data on near-term events with the big-picture questions that are most relevant to policymakers. This issue brief uses recent forecast data to illustrate Foretell’s methodology.

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Tremblay, Bruno. Forecasting Future Sea Ice Conditions in the MIZ: A Langrangian Approach. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada572580.

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Tremblay, Bruno. Forecasting Future Sea Ice Conditions in the MIZ: A Lagrangian Approach. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada601203.

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Brockmann, Hilke, and Jutta Gampe. The cost of population aging: forecasting future hospital expenses in Germany. Max Planck Institute for Demographic Research, 2005. http://dx.doi.org/10.4054/mpidr-wp-2005-007.

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