Academic literature on the topic 'Performance metrics'

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Journal articles on the topic "Performance metrics"

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Mary, A. Viji Amutha, and Dr T. Jebarajan Dr. T. Jebarajan. "Performance Metrics of Clustering Algorithm." Indian Journal of Applied Research 4, no. 8 (2011): 165–67. http://dx.doi.org/10.15373/2249555x/august2014/47.

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Pijpers, Frank P. "Performance metrics." Astronomy & Geophysics 47, no. 6 (2006): 6.17–6.18. http://dx.doi.org/10.1111/j.1468-4004.2006.47617.x.

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M. Taaffe, Kevin, Robert William Allen, and Lindsey Grigg. "Performance metrics analysis for aircraft maintenance process control." Journal of Quality in Maintenance Engineering 20, no. 2 (2014): 122–34. http://dx.doi.org/10.1108/jqme-07-2012-0022.

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Purpose – Performance measurements or metrics are that which measure a company's performance and behavior, and are used to help an organization achieve and maintain success. Without the use of performance metrics, it is difficult to know whether or not the firm is meeting requirements or making desired improvements. During the course of this study with Lockheed Martin, the research team was tasked with determining the effectiveness of the site's existing performance metrics that are used to help an organization achieve and maintain success. Without the use of performance metrics, it is difficu
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Nochur, A., H. Vedam, and J. Koene. "Alarm Performance Metrics." IFAC Proceedings Volumes 34, no. 27 (2001): 203–8. http://dx.doi.org/10.1016/s1474-6670(17)33592-9.

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Loo, Jessica, Traci E. Clemons, Emily Y. Chew, Martin Friedlander, Glenn J. Jaffe, and Sina Farsiu. "Beyond Performance Metrics." Ophthalmology 127, no. 6 (2020): 793–801. http://dx.doi.org/10.1016/j.ophtha.2019.12.015.

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DeLozier, Randall, and Neil Snyder. "ENGINEERING PERFORMANCE METRICS." INCOSE International Symposium 3, no. 1 (1993): 599–605. http://dx.doi.org/10.1002/j.2334-5837.1993.tb01632.x.

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AbstractImplementation of a Total Quality Management (TQM) approach to engineering work required the development of a system of metrics which would serve as a meaningful management tool for evaluating effectiveness in accomplishing project objectives and in achieving improved customer satisfaction. A team effort was chartered with the goal of developing a system of engineering performance metrics which would measure customer satisfaction, quality, cost effectiveness, and timeliness. The approach to developing this system involved normal systems design phases including conceptual design, detail
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DePesa, Christopher D., Corrine Y. Jurgens, Christopher S. Lee, and Monica O'Reilly-Jacob. "Nurse Performance Metrics." JONA: The Journal of Nursing Administration 53, no. 2 (2023): 110–15. http://dx.doi.org/10.1097/nna.0000000000001251.

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Liu, Yangguang, Yangming Zhou, Shiting Wen, and Chaogang Tang. "A Strategy on Selecting Performance Metrics for Classifier Evaluation." International Journal of Mobile Computing and Multimedia Communications 6, no. 4 (2014): 20–35. http://dx.doi.org/10.4018/ijmcmc.2014100102.

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The evaluation of classifiers' performances plays a critical role in construction and selection of classification model. Although many performance metrics have been proposed in machine learning community, no general guidelines are available among practitioners regarding which metric to be selected for evaluating a classifier's performance. In this paper, we attempt to provide practitioners with a strategy on selecting performance metrics for classifier evaluation. Firstly, the authors investigate seven widely used performance metrics, namely classification accuracy, F-measure, kappa statistic,
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Baker, Noel C., and Patrick C. Taylor. "A Framework for Evaluating Climate Model Performance Metrics." Journal of Climate 29, no. 5 (2016): 1773–82. http://dx.doi.org/10.1175/jcli-d-15-0114.1.

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Abstract Given the large amount of climate model output generated from the series of simulations from phase 5 of the Coupled Model Intercomparison Project (CMIP5), a standard set of performance metrics would facilitate model intercomparison and tracking performance improvements. However, no framework exists for the evaluation of performance metrics. The proposed framework systematically integrates observations into metric assessment to quantitatively evaluate metrics. An optimal metric is defined in this framework as one that measures a behavior that is strongly linked to model quality in repr
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Li, Shanshan, and Weiyang Sun. "Image Encryption Performance Evaluation Based on Poker Test." Advances in Multimedia 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/6714164.

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The fast development of image encryption requires performance evaluation metrics. Traditional metrics like entropy do not consider the correlation between local pixel and its neighborhood. These metrics cannot estimate encryption based on image pixel coordinate permutation. A novel effectiveness evaluation metric is proposed in this paper to address the issue. The cipher text image is transformed to bit stream. Then, Poker Test is implemented. The proposed metric considers the neighbor correlations of image by neighborhood selection and clip scan. The randomness of the cipher text image is tes
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Dissertations / Theses on the topic "Performance metrics"

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Sundfors, David. "Performance Metrics for Sustainability Value." Licentiate thesis, KTH, Bygg- och fastighetsekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-200315.

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The trend that started with Green Building has moved on into Sustainable Building. But how do we know that something is really sustainable? This project started out with the intention to find a small set of performance indicators for commercial buildings, which could be continuously measured and monitored over time, which would give a good indication of the level of sustainability of the building and as such, and be presented as an additional part in a valuation. Since it has been shown several times over by now that properties that can prove they are sustainable generate a higher market price
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Akcay, Koray. "Performance Metrics For Fundamental Estimation Filters." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606510/index.pdf.

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This thesis analyzes fundamental estimation filters &ndash<br>Alpha-Beta Filter, Alpha-Beta-Gamma Filter, Constant Velocity (CV) Kalman Filter, Constant Acceleration (CA) Kalman Filter, Extended Kalman Filter, 2-model Interacting Multiple Model (IMM) Filter and 3-model IMM with respect to their resource requirements and performance. In resource requirement part, fundamental estimation filters are compared according to their CPU usage, memory needs and complexity. The best fundamental estimation filter which needs very low resources is the Alpha-Beta-Filter. In performance evaluation part of th
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Tucker, Christopher John. "Performance metrics for network intrusion systems." Thesis, University of Plymouth, 2013. http://hdl.handle.net/10026.1/1547.

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Intrusion systems have been the subject of considerable research during the past 33 years, since the original work of Anderson. Much has been published attempting to improve their performance using advanced data processing techniques including neural nets, statistical pattern recognition and genetic algorithms. Whilst some significant improvements have been achieved they are often the result of assumptions that are difficult to justify and comparing performance between different research groups is difficult. The thesis develops a new approach to defining performance focussed on comparing intru
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Cirtita, Horatiu. "Performance Metrics in Downstream Supply Chain." Doctoral thesis, Università degli studi di Padova, 2008. http://hdl.handle.net/11577/3425091.

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In a downstream supply chain (DSC), consisting of manufacturers, transportation, distribution, and retail members, end customers expect timely, reliable and quality delivery of the right amount of products at low cost. The manufacturer, in its attempt to deliver the product through the DSC, however, must balance customer expectation with profitability. This balance can be achieved through a mix of strategies. One DSC strategy tool, the SCOR model, integrates and continuously improves the performance of the various DSC activities. The SCOR model metric system is considered a breakthrough gi
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Dietrich, Nathan S. "Performance metrics for correlation and tracking algorithms." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA391959.

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Wanderman-Milne, Skye A. "Virtualized application performance prediction using system metrics." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/77450.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 79-80).<br>Virtualized datacenter administrators would like to consolidate virtual machines (VMs) onto as few physical hosts as possible in order to decrease costs, but must leave enough physical resources for each VM to meet application service level objectives (SLOs). The threshold between good and bad performance in terms of resource settings, however, is hard to determine and rarely static du
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Burdett, Yan Liu. "Correlation of Software Quality Metrics and Performance." NSUWorks, 2012. http://nsuworks.nova.edu/gscis_etd/109.

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Performance is an aspect of software quality that is often not considered at early stages of software design. Common approaches to performance analysis include utilizing profiling tools after the software has been developed to find bottlenecks and executing simulation models that are either manually constructed or derived from UML design diagrams. Many projects attempt to correct performance issues by adding more powerful hardware instead of attacking the root cause. Software metrics have been used to predict many aspects of software quality such as maintainability and fault-tolerance by corre
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Jackson, Kenneth J. "Forecast error metrics for Navy inventory management performance." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5756.

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Approved for public release; distribution is unlimited.<br>This research establishes metrics for determining overall Navy secondary inventory forecasting accuracy when compared to actual demands at the Naval Inventory Control Point (NAVICP). Specifically, two performance metrics are introduced: the average performance index (API) and the median absolute deviation performance index (MPI). API measures forecasting accuracy of secondary inventory when compared against demand or forecast performance over a four-quarter period. MPI measures the quarterly variability of forecast errors over th
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Forman, Rachel Emily. "Objective performance metrics for improved space telerobotics training." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/68408.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 47-50).<br>NASA astronauts undergo many hours of formal training and self-study to gain proficiency in space teleoperation tasks. After each lesson, instructors score an astronaut's performance in several broad skill categories, including 'General Situational Awareness', 'Maneuvers/Task Performance', and 'Hand- Controller Techniques'. A plus, check, or minus indicates that the student is ahead of, at, or behind th
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Wolbert, Daniel (Daniel Joseph). "Utilization of visual metrics to drive intended performance." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/39689.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2007.<br>Includes bibliographical references.<br>In recent years the American industrial landscape has undergone tremendous change as companies have worked to adopt Lean practices. This transformation has been difficult, but necessary, as American companies work to remain competitive with foreign competitors. A key enabler of these Lean transformations has been t
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Books on the topic "Performance metrics"

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Boyd, William J., Ann Brockhaus, Matthew R. Chini, et al., eds. Industrial Hygiene Performance Metrics. American Industrial Hygiene Association, 2001. http://dx.doi.org/10.3320/978-1-931504-12-6.

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American Industrial Hygiene Association. Metrics Subcommittee., ed. Industrial hygiene performance metrics. American Industrial Hygiene Association, 2001.

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Lehmann, Donald R. Marketing metrics and financial performance. Marketing Science Institute, 2006.

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Albert, Sylvie, and Manish Pandey. Performance Metrics for Sustainable Cities. Routledge, 2021. http://dx.doi.org/10.4324/9781003096566.

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Samur, Evren. Performance Metrics for Haptic Interfaces. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4225-6.

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Lehmann, Donald R. Marketing metrics and financial performance. Marketing Science Institute, 2006.

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Lehmann, Donald R. Marketing metrics and financial performance. Marketing Science Institute, 2006.

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service), SpringerLink (Online, ed. Performance Metrics for Haptic Interfaces. Springer London, 2012.

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Touran, Northeastern University Ali. Performance Metrics for Publicâ€"Private Partnerships. Transportation Research Board, 2021. http://dx.doi.org/10.17226/26171.

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Kounev, Samuel, Ian Gorton, and Kai Sachs, eds. Performance Evaluation: Metrics, Models and Benchmarks. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69814-2.

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Book chapters on the topic "Performance metrics"

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Goldshtein, Sasha, Dima Zurbalev, and Ido Flatow. "Performance Metrics." In Pro .NET Performance. Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4459-2_1.

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Tokhi, M. O., M. A. Hossain, and M. H. Shaheed. "Performance Metrics." In Parallel Computing for Real-time Signal Processing and Control. Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-0087-4_4.

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Carstens, Deborah Sater, and Gary L. Richardson. "Performance Metrics." In Project Management Tools and Techniques. CRC Press, 2019. http://dx.doi.org/10.1201/9780429263163-17.

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Sproull, Bob. "Performance Metrics." In Learning from the Past, Present, and Future to Drive Profits to New Levels. Productivity Press, 2023. http://dx.doi.org/10.4324/9781003462385-19.

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Sproull, ByBob. "Performance Metrics." In The Focus and Leverage Improvement Book. Productivity Press, 2018. http://dx.doi.org/10.4324/9780429444456-10.

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Leasure, Bruce, David J. Kuck, Sergei Gorlatch, et al. "Performance Metrics." In Encyclopedia of Parallel Computing. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-09766-4_2182.

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Kurtz, David. "Performance Metrics." In PeopleSoft for the Oracle DBA. Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-3708-2_9.

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Eeckhout, Lieven. "Performance Metrics." In Computer Architecture Performance Evaluation Methods. Springer International Publishing, 2010. http://dx.doi.org/10.1007/978-3-031-01727-8_2.

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Racicot, Alicia. "Performance Metrics." In Strength and Conditioning for the Human Weapon System. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87305-8_5.

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Link, Albert N., and John T. Scott. "Performance Evaluation Metrics." In Public Accountability. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5639-8_4.

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Conference papers on the topic "Performance metrics"

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Evang, Jan Marius, Alojz Gomola, and Tarik Čičić. "Anycast Metrics and Performance Tuning." In 2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE, 2024. http://dx.doi.org/10.23919/softcom62040.2024.10721670.

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Kruger, Nimrod, Sami El Arja, Evie Andrew, Travis Monk, and Andre van Schaik. "Performance metrics for neuromorphic imaging." In Quantum Sensing and Nano Electronics and Photonics XXI, edited by Manijeh Razeghi, Giti A. Khodaparast, and Miriam S. Vitiello. SPIE, 2025. https://doi.org/10.1117/12.3041873.

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De Vylder, Jonas, Peter Ouillette, Bart Diricx, Johan Rostang, Tom Kimpe, and Mustafa Yousif. "Perceived color contrast metrics for clinical images." In Image Perception, Observer Performance, and Technology Assessment, edited by Jovan G. Brankov and Mark A. Anastasio. SPIE, 2025. https://doi.org/10.1117/12.3046943.

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Mackey, Jamie. "UDOT Signal Performance Metrics: New and Upcoming Metrics." In Automated Traffic Signal Performance Measure Workshop. Purdue University, 2016. http://dx.doi.org/10.5703/1288284316023.

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Talbot, R. G., Chris R. Benn, and Rene G. M. Rutten. "Telescope performance metrics." In Astronomical Telescopes and Instrumentation, edited by Peter J. Quinn. SPIE, 2002. http://dx.doi.org/10.1117/12.460734.

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Stevenson, Scott. "Maintaining Signal Performance Metrics." In Automated Traffic Signal Performance Measure Workshop. Purdue University, 2016. http://dx.doi.org/10.5703/1288284316040.

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Huang, Hui-Min, and Seungbin Moon. "Session details: Measures & metrics." In PerMIS '10: Performance Metrics for Intelligent Systems. ACM, 2010. http://dx.doi.org/10.1145/3260126.

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Farnsworth, Grant. "UDOT Automated Freeway Performance Metrics." In Automated Traffic Signal Performance Measure Workshop. Purdue University, 2016. http://dx.doi.org/10.5703/1288284316026.

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Mackey, Jamie. "UDOT Signal Performance Metrics: Configuration." In Automated Traffic Signal Performance Measure Workshop. Purdue University, 2016. http://dx.doi.org/10.5703/1288284316039.

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Konell, Jeremiah P., Jack Van Schenck, Joseph P. Bratton, and Steven J. Polasik. "Practical IMP Performance Metrics." In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64528.

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Annually or as events occur, operators submit data to various regulatory agencies about the operation, maintenance and extent of their assets. Many of these figures are used by the public, non-profit organizations and private companies to independently conduct assessments about operators, ranging from safety to quality assurance to scope and nature of product deliveries. The Pipeline Hazardous Materials Safety Administration (PHMSA), the National Energy Board (NEB), and other industry organizations have recently put an emphasis on more meaningful metrics by releasing guidelines and leading dis
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Reports on the topic "Performance metrics"

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Stephan, E. IP Performance Metrics (IPPM) Metrics Registry. RFC Editor, 2005. http://dx.doi.org/10.17487/rfc4148.

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Duffield, N., A. Morton, and J. Sommers. Loss Episode Metrics for IP Performance Metrics (IPPM). RFC Editor, 2012. http://dx.doi.org/10.17487/rfc6534.

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Dietz, R., and R. Cole. Transport Performance Metrics MIB. RFC Editor, 2005. http://dx.doi.org/10.17487/rfc4150.

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Bagnulo, M., B. Claise, P. Eardley, A. Morton, and A. Akhter. Registry for Performance Metrics. RFC Editor, 2021. http://dx.doi.org/10.17487/rfc8911.

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Demichelis, C., and P. Chimento. IP Packet Delay Variation Metric for IP Performance Metrics (IPPM). RFC Editor, 2002. http://dx.doi.org/10.17487/rfc3393.

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Almes, G., S. Kalidindi, and M. Zekauskas. A One-Way Delay Metric for IP Performance Metrics (IPPM). Edited by A. Morton. RFC Editor, 2016. http://dx.doi.org/10.17487/rfc7679.

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Almes, G., S. Kalidindi, and M. Zekauskas. A One-Way Loss Metric for IP Performance Metrics (IPPM). Edited by A. Morton. RFC Editor, 2016. http://dx.doi.org/10.17487/rfc7680.

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Koles, G., R. Hitchcock, and M. Sherman. Metrics for building performance assurance. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/374167.

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Paxson, V., G. Almes, J. Mahdavi, and M. Mathis. Framework for IP Performance Metrics. RFC Editor, 1998. http://dx.doi.org/10.17487/rfc2330.

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Pressel, D. M. Performance Metrics for Parallel Systems. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada373437.

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