Relevant bibliographies by topics / Evaluation 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 'Evaluation model'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Evaluation model"

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NICA, Panaite, and Silviu Mihail TITA. "Efficiency – Model for Scientific Research Evaluation." Revista Romaneasca pentru Educatie Multidimensionala 5, no. 1 (2013): 141–59. http://dx.doi.org/10.18662/rrem/2013.0501.10.

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Lahajnar, Sebastian, and Alenka Rožanec. "Initial Coin Offering (ICO) evaluation model." Investment Management and Financial Innovations 15, no. 4 (2018): 169–82. http://dx.doi.org/10.21511/imfi.15(4).2018.14.

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High-tech companies operating in the field of blockchain technology use the Initial Coin Offering (ICO) to raise start-up capital. It is a fairly new, non-standardized and poorly regulated way of collecting start-up funding that can bring high yields to investors in the short term, but investors also have to be ready to take on high risks. The purpose of this article is to define a decision model for the evaluation of ICO projects, which provides a systematic, transparent, methodological approach to making decisions on investing in them. For that purpose, the authors analyzed a number of facto
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Jericho, Y. Baybayan. "An Evaluation of General Mathematics Course using Countenance Stake Evaluation Model." International Journal of Current Science Research and Review 07, no. 12 (2024): 9189–96. https://doi.org/10.5281/zenodo.14584521.

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  Abstract : The entrance exam score results of students at one university in Central Mindanao, Philippines based from the OSAT – A Test revealed that most of the students belong to the dull normal to average IQ category. In this study, through countenance stake evaluation model by Robert Stake, the General Mathematics Couse at Senior High School was evaluated checking if the goals are being met through (1) identifying the suitability of learning planning and (2) the learning process, (3) the appropriateness of learning assessments, and (4) the student learning outcomes which involv
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Munro, Barbara Hazard. "Evaluation Model." Clinical Nurse Specialist 9, no. 3 (1995): 144. http://dx.doi.org/10.1097/00002800-199505000-00007.

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Masood Butt, Saad, Shahid Masood Butt, Azura Onn, Nadra Tabassam, and Mazlina Abdul Majid. "Usability Evaluation Techniques for Agile Software Model." Journal of Software 10, no. 1 (2015): 32–41. http://dx.doi.org/10.17706/jsw.10.1.32-41.

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Bar-Anan, Yoav, and Tal Moran. "Simple First: A Skeleton for an Evaluative Learning Model." Social Psychological Bulletin 13, no. (3) (2018): e28761. https://doi.org/10.5964/spb.v13i3.28761.

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Simple first is our name for a set of hypotheses that we have found useful in our research on evaluative learning. The hypotheses are: (1) It is easier to encode and retrieve information that two concepts are linked than information about how they are linked; (2) It is easier to store and retrieve information than to make an inference based on that information; (3) When people encounter an object and memory activates valence that is mentally linked to that object, they consider the activation valid evidence that the activated valence characterizes the object. We demonstrate how these hypothese
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Sparks, Elizabeth, Michelle Molina, Natalie Shepp, and Fiona Davey. "The Evaluation Skill-a-Thon: Evaluation Model for Meaningful Youth Engagement." Journal of Youth Development 16, no. 1 (2021): 100–125. http://dx.doi.org/10.5195/jyd.2021.968.

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Active engagement of youth participants in the evaluation process is an increasingly sought out method, but the field can still benefit from new methods that ease youth participatory evaluation implementation. Meaningful youth engagement in the evaluation process is particularly advantageous under the 4-H thriving model because of its potential to contribute to positive youth development, foster relationship building, enhance evaluation capacity, and improve program quality through improved evaluations. This program sought to facilitate actively engaging youth in the evaluation process by brea
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Lim, Hee-Jeong, Young-Hee Lee, and Hyo-Jung Kwon. "Evaluation of Community Land Model version 3.5-Dynamic Global Vegetation Model over Deciduous Forest in Gwangneung, Korea." Korean Journal of Agricultural and Forest Meteorology 12, no. 2 (2010): 95–106. http://dx.doi.org/10.5532/kjafm.2010.12.2.095.

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Turgut, Mehmet, and Alp Ustundag. "A Hybrid Risk Evaluation Model for Automotive Production." International Journal of Machine Learning and Computing 4, no. 5 (2014): 458–62. http://dx.doi.org/10.7763/ijmlc.2014.v4.454.

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Tvrdoň, J. "Some model approaches of natural resources efficiency evaluation." Agricultural Economics (Zemědělská ekonomika) 51, No. 2 (2012): 47–50. http://dx.doi.org/10.17221/5075-agricecon.

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The article deals with problems of sustainable development of agriculture from the viewpoint of efficient use of environmental resources. Environmental resources are factors of creation both usual economic goods and stabilization of environment. Analysis proved that classical indicators of economic performance are necessary to be modified by the ecological threshold of economic activities. However its level is not fixed and follows factors introduced in the paper which arose in frame of solution of the Institutional Research Intention MSM 411100013.
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Dissertations / Theses on the topic "Evaluation model"

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Tudevdagva, Uranchimeg. "Structure Oriented Evaluation Model for E-Learning." Doctoral thesis, Universitätsbibliothek Chemnitz, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-146901.

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Volume 14 of publication series EINGEBETTETE, SELBSTORGANISIERENDE SYSTEME is devoted to the structure oriented evaluation of e-learning. For future knowledge society, beside creation of intelligent technologies, adapted methods of knowledge transfer are required. In this context e-learning becomes a key technology for development of any education system. E-learning is a complex process into which many different groups with specific tasks and roles are included. The dynamics of an e-learning process requires adjusted quality management. For that corresponding evaluation methods are needed. In
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Nordholm, Johan. "Model-Based Testing: An Evaluation." Thesis, Karlstad University, Faculty of Economic Sciences, Communication and IT, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-5188.

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<p>Testing is a critical activity in the software development process in order to obtain systems of high quality. Tieto typically develops complex systems, which are currently tested through a large number of manually designed test cases. Recent development within software testing has resulted in methods and tools that can automate the test case design, the generation of test code and the test result evaluation based on a model of the system under test. This testing approach is called model-based testing (MBT).</p><p>This thesis is a feasibility study of the model-based testing concept and has
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Klose, Daniel Peter. "Protein model construction and evaluation." Thesis, University College London (University of London), 2008. http://discovery.ucl.ac.uk/1444214/.

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The prediction of protein secondary and tertiary structure is becoming increasingly important as the number of sequences available to the biological community far exceeds the number of unique native structures. The following chapters describe the conception, construction, evaluation and application of a series of algorithms for the prediction and evaluation of two and three-dimensional protein structure. In chapter 1 a brief overview of protein structure and the resources required to predict protein features is given. Chapter 2 describes the investigation of sequence identity and alignments on
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Sharma, Nishchay. "Knock Model Evaluation – Gas Engine." Thesis, KTH, Maskinkonstruktion (Avd.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237133.

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Knocking is a type of abnormal combustion which depends on several physical factors and results in high frequency pressure oscillations inside the combustion chamber of a spark-ignited internal combustion engine (ICE). These oscillations can damage the engine and hamper its efficiency, which is why it is important for automakers to understand the knocking behavior so that it can be avoided during engine operation. Due to the catastrophic outcomes of knocking a lot of research has been done in the past on prediction of its occurrence. There can be several causes of knocking but when it occurs d
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Miroshnychenko, Dmytro. "Mechanical behaviour of PVC : model evaluation." Thesis, Loughborough University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250881.

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Al-Dawood, Abdullah Saad. "Transportation and economic development evaluation model." Diss., Virginia Tech, 1990. http://hdl.handle.net/10919/39905.

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The system dynamics methodology is used to develop a computer simulation model to determine whether to add lanes to a congested highway or build a new, more direct, facility. Fundamental to this evaluation is the incorporation of non-user measures of effectiveness to go with the traditional highway user measures of effectiveness, such as the Benefit-Cost Ratio. In the system dynamics methodology three alternative forms of the model of a system are used: verbal, visual, and mathematical. The verbal description is diagrammatic and shows cause-and-effect relationships between many variables in a
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Aldrete, Sánchez Rafael Manuel. "Feasibility evaluation model for toll highways /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Clark, Thomas K. "Logging Subsystem Performance: Model and Evaluation." PDXScholar, 1994. https://pdxscholar.library.pdx.edu/open_access_etds/4724.

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Transaction logging is an integral part of ensuring proper transformation of data from one state to another in modern data management. Because of this, the throughput of the logging subsystem can be critical to the throughput of an application. The purpose of this research is to break the log bottleneck at minimum cost. We first present a model for evaluating a logging subsystem, where a logging subsystem is made up of a log device, a log backup device, and the interconnect algorithm between the two, which we term the log backup method. Included in the logging model is a set of criteria for ev
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Sirikijpanichkul, Ackchai. "An agent-based location evaluation model." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/20672/1/Ackchai_Sirikijpanichkul_Thesis.pdf.

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Truck transportation is considered as a favourable mode by shippers to carry freight at most ranges of distance as it has more flexibility in fleet size, capacity, scheduling, routing, and access. Although truck is considered as the popular mode for freight transportation, road-rail intermodal freight transportation becomes an attractive alternative to road only mode since the latter has no longer assured a reliable service due to traffic congestion problem. It also raises public concern in environmental and road safety impacts. Intermodal freight transportation is defined as a system that car
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Sirikijpanichkul, Ackchai. "An agent-based location evaluation model." Queensland University of Technology, 2008. http://eprints.qut.edu.au/20672/.

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Truck transportation is considered as a favourable mode by shippers to carry freight at most ranges of distance as it has more flexibility in fleet size, capacity, scheduling, routing, and access. Although truck is considered as the popular mode for freight transportation, road-rail intermodal freight transportation becomes an attractive alternative to road only mode since the latter has no longer assured a reliable service due to traffic congestion problem. It also raises public concern in environmental and road safety impacts. Intermodal freight transportation is defined as a system that car
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Books on the topic "Evaluation model"

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McMasters, Alan W. Wholesale provisioning models: Model evaluation. Naval Postgraduate School, 1986.

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Lafleur, Clay. Program review model. Simcoe County Board of Education, 1990.

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Pembangunan, Universitas Indonesia Pusat Penelitian Pranata. Studi penyusunan model-model evaluasi hasil pembangunan daerah: Laporan akhir. Pusat Penelitian Pranata Pembangunan, Lembaga Penelitian, Universitas Indonesia, 1999.

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(Firm), Sierra Research. Evaluation of MOBILE vehicle emission model. U.S. Department of Transportation, Federal Highway Administration, 1994.

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Planlægningsafdelingen, Denmark Vejdirektoratet, ed. The Danish highway investment evaluation model. Planning Dept., 1992.

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United States. Federal Highway Administration., ed. Evaluation of MOBILE vehicle emission model. U.S. Dept. of Transportation, Federal Highway Administration, 1994.

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1951-, Morris G. E., and Atmospheric Research and Exposure Assessment Laboratory (U.S.), eds. Rocky Mountain acid deposition model assessment model assessment: ARM3 model performance evaluation : project summary. U.S. Environmental Protection Agency, Atmospheric Research and Exposure Assessment Laboratory, 1990.

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Cacina, Nasuh. Test and evaluation of surf forecasting model. Naval Postgraduate School, 1989.

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Kennedy, Thomas L. Southern African transport: An analytical model. Africa Institute of South Africa, 1990.

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Amey, Peter. Development and evaluation of a crime management model. Home Office Police Research Group, 1996.

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Book chapters on the topic "Evaluation model"

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Cavanagh, Stephen J. "Evaluation." In Orem’s Model in Action. Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-11909-7_8.

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Gass, Saul I. "Model evaluation." In Encyclopedia of Operations Research and Management Science. Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_629.

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Gettelman, Andrew, and Richard B. Rood. "Model Evaluation." In Earth Systems Data and Models. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48959-8_9.

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Von Gadow, Klaus, and Gangying Hui. "Model evaluation." In Modelling Forest Development. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4816-0_6.

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Mislevy, Robert J., Geneva Haertel, Michelle Riconscente, Daisy Wise Rutstein, and Cindy Ziker. "Model Evaluation." In Assessing Model-Based Reasoning using Evidence- Centered Design. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52246-3_9.

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Fürnkranz, Johannes, Philip K. Chan, Susan Craw, et al. "Model Evaluation." In Encyclopedia of Machine Learning. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_550.

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Aliabadi, Amir A. "Model Evaluation." In Turbulence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95411-6_19.

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Webb, Geoffrey I. "Model Evaluation." In Encyclopedia of Machine Learning and Data Science. Springer US, 2023. http://dx.doi.org/10.1007/978-1-4899-7502-7_555-2.

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Ghayoumi, Mehdi. "Model Evaluation." In Generative Adversarial Networks in Practice. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003281344-3.

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Kakarla, Ramcharan, Sundar Krishnan, Balaji Dhamodharan, and Venkata Gunnu. "Model Evaluation." In Applied Data Science Using PySpark. Apress, 2024. https://doi.org/10.1007/979-8-8688-0820-3_6.

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Conference papers on the topic "Evaluation model"

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Ulke, Bastian, Friedrich Steimann, and Ralf Lammel. "Partial Evaluation of OCL Expressions." In 2017 ACM/IEEE 20th International Conference on Model-Driven Engineering Languages and Systems (MODELS). IEEE, 2017. http://dx.doi.org/10.1109/models.2017.31.

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Ruiz, Jenny, and Monique Snoeck. "Adapting Kirkpatrick's evaluation model to technology enhanced learning." In MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems. ACM, 2018. http://dx.doi.org/10.1145/3270112.3270114.

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Hegde, V. R. "Impact Evaluation of Interventions for Groundwater Recharge." In River Rejuvenation Kumudvathi Model. The Geological Society of India, 2020. http://dx.doi.org/10.17491/cgsi/2020/156158.

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Sun, Hao, and Oral Büyüköztürk. "Bayesian model updating using incomplete modal data without mode matching." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Tribikram Kundu. SPIE, 2016. http://dx.doi.org/10.1117/12.2219300.

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Schmerr, Lester W. "A Localized Multi-Gaussian Ultrasonic Beam Model." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2004. http://dx.doi.org/10.1063/1.1711605.

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Brand, Thomas, and Holger Giese. "Modeling Approach and Evaluation Criteria for Adaptable Architectural Runtime Model Instances." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2019. http://dx.doi.org/10.1109/models.2019.00006.

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Raeisdanaei, Ali, Logan Murphy, Alessio Di Sandro, Mehrnoosh Askarpour, Torin Viger, and Marsha Chechik. "Evaluation of Automotive OTA Updates Using Assurance Cases." In MODELS Companion '24: ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems. ACM, 2024. http://dx.doi.org/10.1145/3652620.3687815.

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Kim, Hak-Joon. "Model Predictions to the 2005 Ultrasonic Benchmark Problems." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2006. http://dx.doi.org/10.1063/1.2184743.

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Bulat, Violeta. "Benefits of logic model for program evaluation planning." In International Scientific Conference "The contemporary issues of the socio-humanistic sciences", XIV edition. Free International University of Moldova, 2024. https://doi.org/10.54481/pcss2023.39.

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The cornerstone of an effective evaluation is an intimate understanding of the program under consideration. Hence, logic models can be very useful in evaluation planning since they provide the evaluator with a visual depiction of how the program is supposed to work. Logic models can help evaluators better match the evaluation to the program by helping them focus on critical components of the program. As an advance organizer, the logic model aids the evaluator to focus on the important elements of the program and to identify what evaluation questions should be asked and why, as well as what mea
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Melapudi, Vikram R. "Ray-Rracing Model for Terahertz Imaging of SOFI Inspection." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2006. http://dx.doi.org/10.1063/1.2184566.

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Reports on the topic "Evaluation model"

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McKay, S., Nate Richards, and Todd Swannack. Ecological model development : evaluation of system quality. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45380.

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Ecological models are used throughout the US Army Corps of Engineers (USACE) to inform decisions related to ecosystem restoration, water operations, environmental impact assessment, environmental mitigation, and other topics. Ecological models are typically developed in phases of conceptualization, quantification, evaluation, application, and communication. Evaluation is a process for assessing the technical quality, reliability, and ecological basis of a model and includes techniques such as calibration, verification, validation, and review. In this technical note (TN), we describe an approac
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Lu, Ning, and Hong Qiao. Composite Load Model Evaluation. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/926124.

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Barchet, W. R., R. L. Dennis, S. K. Seilkop, et al. The EMEFS model evaluation. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/6004604.

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Martin, Paul J. Model Performance and Evaluation. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada629080.

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Simpson, B. C., and D. J. McCain. Historical model evaluation data requirements. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/70804.

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Haidvogel, Dale B., and Kate Hedstrom. Ocean Model Evaluation Web Site. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada629851.

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Haidvogel, Dale B. Ocean Model Evaluation Web Site. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada625349.

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Edenburn, M. W., M. L. Bunting, and A. C. Jr Payne. CTBT Integrated Verification System Evaluation Model. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/548603.

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Whiteside, Tad, Thong Hang, and Gregory Flach. Evaluation of help model replacement codes. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/1237315.

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Foster, K. T. RAS Division model evaluation database tools. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10195819.

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