Relevant bibliographies by topics / Summarizing the empirical model

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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 'Summarizing the empirical model'

Author: Grafiati
Published: 28 May 2022
Last updated: 30 July 2025

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Journal articles on the topic "Summarizing the empirical model"

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Kyoya, Shunki, and Kenji Yamanishi. "Summarizing Finite Mixture Model with Overlapping Quantification." Entropy 23, no. 11 (2021): 1503. http://dx.doi.org/10.3390/e23111503.

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Finite mixture models are widely used for modeling and clustering data. When they are used for clustering, they are often interpreted by regarding each component as one cluster. However, this assumption may be invalid when the components overlap. It leads to the issue of analyzing such overlaps to correctly understand the models. The primary purpose of this paper is to establish a theoretical framework for interpreting the overlapping mixture models by estimating how they overlap, using measures of information such as entropy and mutual information. This is achieved by merging components to re
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Gong, Yan, and Hua Li. "A Review of Achievement Goal Theory." International Research in Higher Education 9, no. 2 (2024): 14. https://doi.org/10.5430/irhe.v9n2p14.

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This article provides an overview of achievement goal theory, detailing its structure and summarizing empirical research on the relationships between achievement goals and motivation, emotion, cognition, and behavior. Furthermore, it examines the multiple achievement goal model and proposes directions for future research in this field.
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de Rooij, Mark, and Carolyn J. Anderson. "Visualizing, Summarizing, and Comparing Odds Ratio Structures." Methodology 3, no. 4 (2007): 139–48. http://dx.doi.org/10.1027/1614-2241.3.4.139.

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Abstract. The odds ratio is one of the main measures of association in 2 × 2 tables. For larger tables, summary measures of association have been proposed as well as modeling strategies, where the odds ratios can be deduced from the parameters of a model. We propose a computationally simple scaling methodology, which gives a summary measure of association and a visualization of the odds ratio structure. Different variants of the methodology are discussed and compared, both theoretically and empirically. The methodology is also generalized to multiple tables, where not only the structure of eac
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BUNESCU, Ionut, Stefan BOGOS, Teodor-Viorel CHELARU, Mihai-Vladut HOTHAZIE, and Mihai-Victor PRICOP. "Coherent solutions to roll damping derivatives evaluation for a generic rocket model." INCAS BULLETIN 15, no. 3 (2023): 19–30. http://dx.doi.org/10.13111/2066-8201.2023.15.3.2.

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This paper presents a coherent approach to evaluate the roll damping derivatives for the standard Basic Finner Model. The study compares and analyses the results obtained through a range of techniques, including experimental testing, numerical simulations and semi-empirical models. The study aims to evaluate the reliability and accuracy of these methods and to identify the factors that contribute to their sensitivity. The paper concludes by summarizing the findings of the study and discussing the implications of the results for the design and operation of rockets. The experimental and numerica
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Wang, Rong. "Feasibility Study of Collaborative Education Model in Higher Education under the Background of “Internet+”." Frontiers in Education Technology 7, no. 1 (2023): p1. http://dx.doi.org/10.22158/fet.v7n1p1.

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This study investigates the application of the collaborative education model in higher education within the “Internet+” context. It examines how rapid advancements in information technology have reshaped higher education, fostering the collaborative education model. The study combines literature review and empirical research to analyze the model’s core elements, implementation strategies, and impact on higher education. It delves into the transformations in teaching, learning, and management due to “Internet+”, and defines the collaborative education model’s concept, principles, and significan
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Jiang, He, Najam Nazar, Jingxuan Zhang, Tao Zhang, and Zhilei Ren. "PRST: A PageRank-Based Summarization Technique for Summarizing Bug Reports with Duplicates." International Journal of Software Engineering and Knowledge Engineering 27, no. 06 (2017): 869–96. http://dx.doi.org/10.1142/s0218194017500322.

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During software maintenance, bug reports are widely employed to improve the software project’s quality. A developer often refers to stowed bug reports in a repository for bug resolution. However, this reference process often requires a developer to pursue a substantial amount of textual information in bug reports which is lengthy and tedious. Automatic summarization of bug reports is one way to overcome this problem. Both supervised and unsupervised methods are effectively proposed for the automatic summary generation of bug reports. However, existing methods disregard the significance of dupl
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Masten, Matthew A., and Alexandre Poirier. "Salvaging Falsified Instrumental Variable Models." Econometrica 89, no. 3 (2021): 1449–69. http://dx.doi.org/10.3982/ecta17969.

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What should researchers do when their baseline model is falsified? We recommend reporting the set of parameters that are consistent with minimally nonfalsified models. We call this the falsification adaptive set (FAS). This set generalizes the standard baseline estimand to account for possible falsification. Importantly, it does not require the researcher to select or calibrate sensitivity parameters. In the classical linear IV model with multiple instruments, we show that the FAS has a simple closed‐form expression that only depends on a few 2SLS coefficients. We apply our results to an empir
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Xia, Chunlian, and Jing Huang. "Construction of Inflation Forecasting Model Based on Ensemble Empirical Mode Decomposition and Bayesian Model." Journal of Sensors 2022 (July 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/8275259.

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The high explanatory power of the first-order lag term of inflation in the inflation explanatory factor is that, on the one hand, the calculation of annual inflation indicators makes the inflation values of adjacent months cover the high correlation caused by the common price increase, and on the other hand, it also shows that people’s perception of inflation is high. Some adaptability is expected. Although there are many Bayesian models available, due to the limitation of high-dimensional characteristics of the economy, most of the current inflation forecasting researches focus on a variety o
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Buntine, W. L. "Operations for Learning with Graphical Models." Journal of Artificial Intelligence Research 2 (December 1, 1994): 159–225. http://dx.doi.org/10.1613/jair.62.

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This paper is a multidisciplinary review of empirical, statistical learning from a graphical model perspective. Well-known examples of graphical models include Bayesian networks, directed graphs representing a Markov chain, and undirected networks representing a Markov field. These graphical models are extended to model data analysis and empirical learning using the notation of plates. Graphical operations for simplifying and manipulating a problem are provided including decomposition, differentiation, andthe manipulation of probability models from the exponential family. Two standard algorith
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Yu, Zhonggen, and Qin Zhu. "Schema Theory-Based Flipped Classroom Model Assisted With Technologies." International Journal of Information and Communication Technology Education 15, no. 2 (2019): 31–48. http://dx.doi.org/10.4018/ijicte.2019040103.

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The flipped model assisted with technologies has an edge over the non-flipped model. Through collecting, generalizing, systemizing, and summarizing around 70 publications from SSCI, A&HCI, and EI Compendex databases, it was concluded that the flipped approach could assimilate and adapt learners' schemata before class. In class, the pre-class schemata activation and construction have laid a solid foundation for students' in-class learning activities. Students could achieve successful schemata modification and reconstruction with the assistance of both their partners and teachers through col
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Dissertations / Theses on the topic "Summarizing the empirical model"

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Четвериков, С. Ф., та В. Ф. Осинин. "Исследование распределения среднего числа выбросов огибающей атмосферного ОНЧ-радиошума". Thesis, Сумский государственный университет, 2014. http://essuir.sumdu.edu.ua/handle/123456789/39377.

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Одной из важных статистических характеристик атмосферного ОНЧ – радиошума является амплитудное распределение N(V > V0) среднего числа выбросов превышений некоторого порогового значения V0 огибающей V в секунду.
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Schwann, Gregory Michael. "Housing demand : an empirical intertemporal model." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/27526.

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I develop an empirical model of housing demand which is based as closely as possible on a theoretical intertemporal model of consumer demand. In the empirical model, intertemporal behavior by households is incorporated in two ways. First, a household's expected length of occupancy in a dwelling is a parameter in the model; thus, households are able to choose when to move. Second, a household's decision to move and its choice of dwelling are based on the same intertemporal utility function. The parameters of the utility function are estimated using a switching regresion model in which the deci
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Matthews, Andrew. "An empirical model of Sahel climate." Thesis, University of East Anglia, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427090.

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Wang, Junyan. "Empirical Bayes Model Averaging in the Presence of Model Misfit." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469437723.

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Mariotto, Angela Bacellar. "Empirical Bayes inference and the linear model." Thesis, Imperial College London, 1989. http://hdl.handle.net/10044/1/47557.

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Ando, Juraj. "Heckscher-Ohlin Model - Theory and Empirical Performance." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-9135.

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The thesis is concerned with one of the building blocks of the classical theory of international trade, known as the Heckscher-Ohlin (H-O) model. It consists of two parts -- in the first one, the model is briefly introduced and related theorems - theoretical extensions of the model - are presented. This introduction is then followed by a discussion on the empirical performance of the model. In the second part, the factor price equalization theorem, closely related to the original H-O model, is both theoretically and empirically analysed.
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Campbell, Alyce. "An empirical study of a financial signalling model." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26969.

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Brennan and Kraus (1982,1986) developed a costless signalling model which can explain why managers issue hybrid securities—convertibles(CB's) or bond-warrant packages(BW's). The model predicts that when the true standard deviation (σ) of the distribution of future firm value is unknown to the market, the firm's managers will issue a hybrid with specific characteristics such that the security's full information value is at a minimum at the firm's true σ. In this fully revealing equilibrium market price is equal to this minimum value. In this study, first the mathematical properties of the hypo
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Gazerani, Alireza. "Empirical estimation of affine Gaussian term structure model." Thesis, University of Ottawa (Canada), 2008. http://hdl.handle.net/10393/27981.

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Karabona, Patrick, and Alina Koutun. "An Empirical Study of the Solow Growth Model." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-20002.

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Verì, Daniele. "Empirical Model Learning for Constrained Black Box Optimization." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25704/.

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Black box optimization is a field of the global optimization which consists in a family of methods intended to minimize or maximize an objective function that doesn’t allow the exploitation of gradients, linearity or convexity information. Beside that the objective is often a problem that requires a significant amount of time/resources to query a point and thus the goal is to go as close as possible to the optimum with the less number of iterations possible. The Emprical Model Learning is a methodology for merging Machine Learning and optimization techniques like Constraint Programming
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Books on the topic "Summarizing the empirical model"

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Thompson, James R., ed. Empirical Model Building. John Wiley & Sons, Inc., 1989. http://dx.doi.org/10.1002/9780470316788.

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R, Thompson James. Empirical model building. Wiley, 1989.

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C, White, and United States. National Aeronautics and Space Administration., eds. Transition mixing study empirical model report. Garrett Engine Division, Allied-Signal Aerospace Company, 1988.

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C, White, and United States. National Aeronautics and Space Administration., eds. Transition mixing study empirical model report. Garrett Engine Division, Allied-Signal Aerospace Company, 1988.

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Whitley, John. An empirical model of household arrears. Bank of England, 2004.

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Box, George E. P. Empirical model-building and response surfaces. Wiley, 1987.

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Fund, International Monetary. An empirical "dependent economy" model for Pakistan. International Monetary Fund, 1991.

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Bendegem, Jean Paul van. Finite, empirical mathematics, outline of a model. Rijksuniversiteit te Gent, 1987.

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H, Bakker. Enthalpies in alloys: Miedemas̓ semi-empirical model. Trans Tech Publications, 1998.

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Christakis, Nicholas A. An empirical model for strategic network formation. National Bureau of Economic Research, 2010.

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Book chapters on the topic "Summarizing the empirical model"

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Makhavikova, Hanna. "Empirical Model." In Contributions to Economics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91878-5_4.

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Mathews, Grant, and Guobao Tang. "Summarizing the Standard Model Lagrangian." In Introduction to Particle Physics and Cosmology. CRC Press, 2025. https://doi.org/10.1201/9781032683546-9.

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Doornbos, Eelco. "Empirical Model Calibration." In Thermospheric Density and Wind Determination from Satellite Dynamics. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25129-0_6.

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Badiru, Adedeji B. "Empirical Model Building." In Data Analytics. CRC Press, 2020. http://dx.doi.org/10.1201/9781003083146-2.

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Hernandez, Pedro M. "Empirical Model I." In Child Support and the Educational Attainment of Young Adults. Routledge, 2021. http://dx.doi.org/10.4324/9781315790398-4.

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Hernandez, Pedro M. "Empirical Model II." In Child Support and the Educational Attainment of Young Adults. Routledge, 2021. http://dx.doi.org/10.4324/9781315790398-5.

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Zimmerman, Dale L. "Empirical BLUE and BLUP." In Linear Model Theory. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52063-2_17.

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Zimmerman, Dale L. "Empirical BLUE and BLUP." In Linear Model Theory. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52074-8_17.

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Thakur, Ajit K. "Model: Mechanistic vs Empirical." In New Trends in Pharmacokinetics. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-8053-5_3.

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Wülferth, Hagen. "Empirical Results of Model." In Contributions to Management Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35837-1_6.

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Conference papers on the topic "Summarizing the empirical model"

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Xu, Shize, Shanshan Wang, and Yan Zhang. "Summarizing Complex Events: a Cross-Modal Solution of Storylines Extraction and Reconstruction." In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2013. http://dx.doi.org/10.18653/v1/d13-1127.

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Féron, Damien, Didier Crusset, and Jean-Marie Gras. "Corrosion Issues in the French High-Level Nuclear Waste Program." In CORROSION 2008. NACE International, 2008. https://doi.org/10.5006/c2008-08rts06.

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Abstract This paper gives an overview of the main corrosion issues related to the French programme of the geological disposal of high-level nuclear wastes (HLNW). In addition to summarizing some specificities of the “dossier 2005 Argile” (clay underground repository concept, HLNW mainly composed of glass matrix, …), the French approach for the selection of the material (non-alloy steel) of HLNW overpacks is underlined with (i) the combination of experimental works and semi-empirical modelling for estimation of service life-times, (ii) mechanistically based modelling for more robust and reliabl
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Muthukumar, D. Surendiran, B. Karthik, K. Pavani, K. Uday Kiran, and Ch Akhilesh Reddy. "A Framework for Analyzing and Summarizing News and Articles using Large Language Model." In 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS). IEEE, 2024. https://doi.org/10.1109/icuis64676.2024.10866258.

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Amulya, Godi, Goli Venkata Sai Manjunath, Jamana Upendra, B. V. Prasanthi, Sanapathi Anusha, and Pedamallu Krishna Madhuri. "A Unified Model for Summarizing and Querying Multi-Format Content in English using Natural Language Processing." In 2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC). IEEE, 2025. https://doi.org/10.1109/isacc65211.2025.10969255.

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Pham, Minh-Quang, Sathish Indurthi, Shamil Chollampatt, and Marco Turchi. "Select, Prompt, Filter: Distilling Large Language Models for Summarizing Conversations." In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.emnlp-main.753.

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Hsu, Ting-Yao, Yoshi Suhara, and Xiaolan Wang. "Summarizing Community-based Question-Answer Pairs." In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.emnlp-main.250.

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Luo, Wencan, and Diane Litman. "Summarizing Student Responses to Reflection Prompts." In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2015. http://dx.doi.org/10.18653/v1/d15-1227.

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Mehnaz, Laiba, Debanjan Mahata, Rakesh Gosangi, et al. "GupShup: Summarizing Open-Domain Code-Switched Conversations." In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.emnlp-main.499.

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Fayzullin, M., V. S. Subrahmanian, A. Picariello, and M. L. Sapino. "The CPR model for summarizing video." In the first ACM international workshop. ACM Press, 2003. http://dx.doi.org/10.1145/951676.951679.

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Li, Jing, Wei Gao, Zhongyu Wei, Baolin Peng, and Kam-Fai Wong. "Using Content-level Structures for Summarizing Microblog Repost Trees." In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2015. http://dx.doi.org/10.18653/v1/d15-1259.

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Reports on the topic "Summarizing the empirical model"

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Mawad, Ramy, Hussein M. Farid, Mohamed Yousef, and Shahinaz Yousef. Empirical CME-SSC listing model. Edited by Lotfia Elnadi. Journal of Modern trends in physics research, 2014. http://dx.doi.org/10.19138/mtpr/(14)130-136.

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Petravic, M., and G. Kuo-Petravic. Empirical particle transport model for tokamaks. Office of Scientific and Technical Information (OSTI), 1986. http://dx.doi.org/10.2172/5272204.

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Tur, Moshe, and Israel Oznovich. An Empirical Model of FUV Auroral Intensity. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada253688.

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Baker, Ernest L., James Pham, and Tan Vuong. An Empirical Shaped Charge Jet Breakup Model. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada604020.

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Christakis, Nicholas, James Fowler, Guido Imbens, and Karthik Kalyanaraman. An Empirical Model for Strategic Network Formation. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w16039.

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Agarwal, Nikhil. An Empirical Model of the Medical Match. National Bureau of Economic Research, 2014. http://dx.doi.org/10.3386/w20767.

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Fowler, James, Karthik Kalyanaraman, Guido Imbens, and Nicholas Christakis. An empirical model for strategic network formation. Institute for Fiscal Studies, 2010. http://dx.doi.org/10.1920/wp.cem.2010.1610.

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Albelo-Cortes, Josean, Laith Alqawasmi, Jared Jacobowitz, and Neal Hubbard. Empirical Model of Puncture Energy for Metals. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1817295.

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Lundberg, Dennis L., K. T. Holland, and John C. Church. Validation of the Semi-Empirical Longshore Current Model. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada361204.

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Bagger, Jesper, and Rasmus Lentz. An Empirical Model of Wage Dispersion with Sorting. National Bureau of Economic Research, 2014. http://dx.doi.org/10.3386/w20031.

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