Literatura académica sobre el tema "WEIGHTING METHOD"
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Artículos de revistas sobre el tema "WEIGHTING METHOD"
Zhongguo, Zheng. "Random weighting method forT statistic". Acta Mathematica Sinica 5, n.º 1 (marzo de 1989): 87–94. http://dx.doi.org/10.1007/bf02107626.
Texto completoZhang, Dixin. "PP multivariate random weighting method". Acta Mathematica Sinica 11, n.º 3 (septiembre de 1995): 256–66. http://dx.doi.org/10.1007/bf02265391.
Texto completoAli, Ghassan Khazal y Alexander Zamyatin. "A Supervised Term Relevance Weighting Method for Arabic Text Classification". Journal of Advanced Research in Dynamical and Control Systems 11, n.º 11 (20 de noviembre de 2019): 206–12. http://dx.doi.org/10.5373/jardcs/v11i11/20193189.
Texto completoLenzuni, Paolo. "On the Low Frequency Noise Assessment Method". Journal of Low Frequency Noise, Vibration and Active Control 22, n.º 2 (junio de 2003): 53–61. http://dx.doi.org/10.1260/026309203322770301.
Texto completoCebi, Selcuk y Cengiz Kahraman. "A new weighted fuzzy information axiom method in production research". Journal of Enterprise Information Management 32, n.º 1 (11 de febrero de 2019): 170–90. http://dx.doi.org/10.1108/jeim-03-2017-0046.
Texto completoZhao, Fuzhang. "Weighting Factors for Single-Step Trapezoidal Method". Journal of Heat Transfer 128, n.º 4 (7 de noviembre de 2005): 409–12. http://dx.doi.org/10.1115/1.2175155.
Texto completoZhao, Wenbin, Changlai Xiao, Yunxu Chai, Xiaoya Feng, Xiujuan Liang y Zhang Fang. "Application of a New Improved Weighting Method, ESO Method Combined with Fuzzy Synthetic Method, in Water Quality Evaluation of Chagan Lake". Water 13, n.º 10 (20 de mayo de 2021): 1424. http://dx.doi.org/10.3390/w13101424.
Texto completoKAWABE, Taketoshi, Toshio MATSUMURA, Kimio KANAI y Toshiyuki KITAMORI. "A Frequency Weighting Parameter Identification Method". Transactions of the Society of Instrument and Control Engineers 31, n.º 6 (1995): 773–79. http://dx.doi.org/10.9746/sicetr1965.31.773.
Texto completoHuang, Yi-Fung y Kun-Li Wen. "Weighting analysis by using grey method". Journal of Discrete Mathematical Sciences and Cryptography 11, n.º 1 (febrero de 2008): 33–58. http://dx.doi.org/10.1080/09720529.2008.10698165.
Texto completoWillems, F. M. J. "The context-tree weighting method: extensions". IEEE Transactions on Information Theory 44, n.º 2 (marzo de 1998): 792–98. http://dx.doi.org/10.1109/18.661523.
Texto completoTesis sobre el tema "WEIGHTING METHOD"
Calandruccio, Lauren. "Spectral weighting strategies for sentences measured by a correlational method". Related electronic resource:, 2007. http://proquest.umi.com/pqdweb?did=1342726281&sid=1&Fmt=2&clientId=3739&RQT=309&VName=PQD.
Texto completoJeon, Byung Ho. "Proposed automobile steering wheel test method for vibration". Thesis, Brunel University, 2010. http://bura.brunel.ac.uk/handle/2438/4623.
Texto completoChen, Ziyue. "Generalizing Results from Randomized Trials to Target Population via Weighting Methods Using Propensity Score". The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1503007759352248.
Texto completoAsgeirsson, David J. "Development of a Monte Carlo re-weighting method for data fitting and application to measurement of neutral B meson oscillations". Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/37021.
Texto completoDe, la Rey Tanja. "Two statistical problems related to credit scoring / Tanja de la Rey". Thesis, North-West University, 2007. http://hdl.handle.net/10394/3689.
Texto completoThesis (Ph.D. (Risk Analysis))--North-West University, Potchefstroom Campus, 2008.
Яременко, Наталія Сергіївна, Наталья Сергеевна Яременко y Nataliia Serhiivna Yaremenko. "Метод рандомізованих зведених показників визначення вагових коефіцієнтів в таксономічних показниках". Thesis, Запорізький національний університет, 2015. http://essuir.sumdu.edu.ua/handle/123456789/60125.
Texto completoThe method of randomized aggregates for finding weighting coefficients when necessary convolution of standardized indicators given their unequal contribution to the integral index.
Col, Juliana Sipoli. "Coerência, ponderação de princípios e vinculação à lei: métodos e modelos". Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/2/2139/tde-29082013-132628/.
Texto completoThe subject of this study is rationality of judgments when there is collision of principles or conflict between principles and rules, which are hard cases, since there is no predetermined solution in legal system that allows only subsuming facts to the norm. Alternative methods are then examined. The first is the method of weighting and balancing proposed mainly by Robert Alexy, in spite of its variants. However, the difficulty to apply such method is theweightlessness between weighing and law binding, that is, the choice of weight of principles and its untying to the Law. The second model, called coherence model, intends to reach any rationality and provide criteria that could explain choices between conflicting values underlying Law and also the ascription of weights of the weighing and balancing method. In coherence model, it is studied especially its inferential version that explores coherence between rules and principles through abduction of principles from rules. These methods are tested in two decisions by Brazilian Supreme Court in cases of collision of principle, in Ellwanger and anencephalic abortion cases. That does not allow a general approach, but only specific outlines of the virtues and defects of these models of decision.
Gencturk, Bilgehan. "Nickel Resource Estimation And Reconciliation At Turkmencardagi Laterite Deposits". Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614978/index.pdf.
Texto completorkmenç
ardagi - Gö
rdes region. Since the nickel (Ni) grade recovered from drilling studies seem to be very low, a reconciliation pit having dimensions of 40 m x 40 m x 15 m in x-y-z directions was planned by Meta Nikel Kobalt Mining Company (META), the license owner of the mine, to produce nickel ore. 13 core drilling and 13 reverse circulation drilling (RC) and 26 column samplings adjacent to each drillholes were located in this area. Those three sampling results were compared to each other and as well as the actual production values obtained from reconciliation pit. On the other side 3D computer modeling was also used to model the nickel resource in Tü
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rdes laterites. The results obtained from both inverse distance weighting and kriging methods were compared to the results of actual production to find out the applicability of 3D modeling to laterite deposits. Modeling results showed that Ni grade of the reconciliation pit in Tü
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rdes, considering 0.5% Ni cut-off value, by using drillholes data, inverse distance weighting method estimates 622 tonnes with 0.553% Ni and kriging method estimates 749 tonnes with 0.527% Ni. The actual production pit results provided 4,882 tonnes of nickel ore with 0.649% Ni grade. These results show that grade values seem to be acceptable but in terms of tonnage, there are significant differences between theoretical estimated values and production values.
Lu, Ling y Bofeng Li. "Combining Different Feature Weighting Methods for Case Based Reasoning". Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-26603.
Texto completoChoo, Wei-Chong. "Volatility forecasting with exponential weighting, smooth transition and robust methods". Thesis, University of Oxford, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.489421.
Texto completoLibros sobre el tema "WEIGHTING METHOD"
1939-, Fix George J. y Langley Research Center, eds. Least squares finite element simulation of transonic flows. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1986.
Buscar texto completoDilsavor, Ronald Louis. Analysis of modified SMI method for adaptive array weight control. Washington, DC: National Aeronautics and Space Administration, 1989.
Buscar texto completoKesoretskikh, Ivan y Sergey Zotov. Landscape vulnerability: concept and assessment. ru: INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/1045820.
Texto completoLerch, F. J. Optimum data weighting and error calibration for estimation of gravitational parameters. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1989.
Buscar texto completoZardari, Noorul Hassan, Kamal Ahmed, Sharif Moniruzzaman Shirazi y Zulkifli Bin Yusop. Weighting Methods and their Effects on Multi-Criteria Decision Making Model Outcomes in Water Resources Management. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12586-2.
Texto completoOktay, Baysal y United States. National Aeronautics and Space Administration., eds. Investigation of dispersion-relation-preserving scheme and spectral analysis methods for acoustic waves. [Washington, D.C: National Aeronautics and Space Administration, 1995.
Buscar texto completoOktay, Baysal y United States. National Aeronautics and Space Administration., eds. Investigation of dispersion-relation-preserving scheme and spectral analysis methods for acoustic waves. [Washington, D.C: National Aeronautics and Space Administration, 1995.
Buscar texto completoBranson, Nicola. Re-weighting the OHS and LFS national household survey data to create a consistent series over time: A cross entropy estimation approach. Cape Town: Southern Africa Labour and Development Research Unit, University of Cape Town, 2009.
Buscar texto completoChristine, Bachrach, National Survey of Family Growth (U.S.) y National Center for Health Statistics (U.S.), eds. National survey of family growth, cycle III: Sample design, weighting, and variance estimation : this report describes the procedures used to select the sample. Hyattsville, Md: U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Statistics, 1985.
Buscar texto completoWright, A. G. Measurement of low light flux. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199565092.003.0007.
Texto completoCapítulos de libros sobre el tema "WEIGHTING METHOD"
Li, Fangchao, Jingxiang Gao, Zengke Li, Yifei Yao, Ren Wang y Ruoxi Li. "Stratified Weighting Method Based on Posterior Residual Error". En Lecture Notes in Electrical Engineering, 455–65. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0014-1_38.
Texto completoLiu, Hu-Chen. "FMEA Using Combination Weighting and Fuzzy VIKOR Method". En FMEA Using Uncertainty Theories and MCDM Methods, 183–98. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1466-6_12.
Texto completoZhu, Songyang y Xiaoqing Bai. "TOPSIS Scoring Method for Industrial Users Based on DEMATEL-EWM Weighting Method". En Lecture Notes in Electrical Engineering, 187–98. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1439-5_16.
Texto completoKinnunen, Tomi y Pasi Fränti. "Speaker Discriminative Weighting Method for VQ-Based Speaker Identification". En Lecture Notes in Computer Science, 150–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45344-x_22.
Texto completoWei, Bifan, Boqin Feng, Feijuan He y Xiaoyu Fu. "An Extended Supervised Term Weighting Method for Text Categorization". En Proceedings of the International Conference on Human-centric Computing 2011 and Embedded and Multimedia Computing 2011, 87–99. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2105-0_11.
Texto completoChang, Pao-Long, Chiung-Wen Hsu y Chih-Min Hsiung. "Assessment of Hydrogen Storage Technologies by Using Compromised Weighting Method". En Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012), 907–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33012-4_90.
Texto completoKennedy, Alistair y Stan Szpakowicz. "A Supervised Method of Feature Weighting for Measuring Semantic Relatedness". En Advances in Artificial Intelligence, 222–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21043-3_27.
Texto completoXiang, Wei-Ning. "Balancing Measurement Precision with Cognitive Efforts in Weighting Method Selection". En Integrated Land Use and Environmental Models, 159–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05109-2_9.
Texto completoRădulescu, Constanta Zoie y Marius Rădulescu. "A Hybrid Method for Cloud Quality of Service Criteria Weighting". En AIRO Springer Series, 425–32. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00473-6_45.
Texto completoXu, Xiaolin y Jiali Feng. "Improvement on Attribute Weighting in Attribute Coordinate Comprehensive Evaluation Method". En Communications in Computer and Information Science, 85–94. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81635-3_8.
Texto completoActas de conferencias sobre el tema "WEIGHTING METHOD"
Kim, Hee Sun y Zsolt Talata. "Context Set Weighting method". En 2016 IEEE International Symposium on Information Theory (ISIT). IEEE, 2016. http://dx.doi.org/10.1109/isit.2016.7541493.
Texto completoPery, Marcin. "Dynamic Weighting New method of weighting panels with large numbers of weighting parameters". En 2014 Federated Conference on Computer Science and Information Systems. IEEE, 2014. http://dx.doi.org/10.15439/2014f488.
Texto completoSuh, Donghyok y Kunsoo Oh. "Weighting Method in the Risk Recognition". En Advanced Information Technology and Sensor Application 2014. Science & Engineering Research Support soCiety, 2014. http://dx.doi.org/10.14257/astl.2014.53.66.
Texto completoZhao, Fuzhang. "Optimal Weighting Factor for Single-Step Trapezoidal Method". En ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41109.
Texto completoKiselyov, Boris S., Nickolay Y. Kulakov, Andrei L. Mikaelian, Vladimir A. Shkitin y Sergei Glebov. "Pattern-weighting method for optical associative memory". En Topical Meeting on Optical Computing, editado por Andrey M. Goncharenko, Fedor V. Karpushko, George V. Sinitsyn y Sergey P. Apanasevich. SPIE, 1993. http://dx.doi.org/10.1117/12.147842.
Texto completoGao, B. B., S. S. Gao, Y. Yang y H. F. Yan. "Random weighting method for estimating sampling distributions". En International Conference on Advances in Management Engineering and Information Technology. Southampton, UK: WIT Press, 2015. http://dx.doi.org/10.2495/ameit140411.
Texto completoDong, Yunfeng y Shen Wang. "A New Weighting Method for Antenna Clusters". En 2022 16th European Conference on Antennas and Propagation (EuCAP). IEEE, 2022. http://dx.doi.org/10.23919/eucap53622.2022.9769080.
Texto completoHuang, Yuan Mao y Chung-Cheng Liao. "On Evaluation Method During Conceptual Design". En ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/dtm-14542.
Texto completoEnqvist, Martin. "A weighting method for approximate nonlinear system identification". En 2007 46th IEEE Conference on Decision and Control. IEEE, 2007. http://dx.doi.org/10.1109/cdc.2007.4434685.
Texto completoLiu, Xuefei y Linlin Lu. "A Weighting Threshold Optimization Method in Speech Recognition". En 2009 Asia-Pacific Conference on Information Processing, APCIP. IEEE, 2009. http://dx.doi.org/10.1109/apcip.2009.213.
Texto completoInformes sobre el tema "WEIGHTING METHOD"
Chisholm, E. y T. G. Kolda. New Term Weighting Formulas for the Vector Space Method in Information Retrieval. Office of Scientific and Technical Information (OSTI), marzo de 1999. http://dx.doi.org/10.2172/5698.
Texto completoIlchenko, Yuriy. Measurement of the Top Quark Mass in Dilepton Final States with the Neutrino Weighting Method. Office of Scientific and Technical Information (OSTI), diciembre de 2012. http://dx.doi.org/10.2172/1128089.
Texto completoIrimata, Katherine, Yulei He, Van Parsons, Hee-Choon Shin y Guangyu Zhang. Calibration Weighting Methods for the National Center for Health Statistics Research and Development Survey. National Center for Health Statistics (U.S.), marzo de 2023. http://dx.doi.org/10.15620/cdc:123463.
Texto completoTsidylo, Ivan M., Serhiy O. Semerikov, Tetiana I. Gargula, Hanna V. Solonetska, Yaroslav P. Zamora y Andrey V. Pikilnyak. Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic. CEUR Workshop Proceedings, junio de 2021. http://dx.doi.org/10.31812/123456789/4370.
Texto completoKiedrowski, Brian C. Adjoint Weighting Methods Applied to Monte Carlo Simulations of Applications and Experiments in Nuclear Criticality. Office of Scientific and Technical Information (OSTI), marzo de 2014. http://dx.doi.org/10.2172/1122890.
Texto completoGreenblatt, Jeffery B., Hung-Chia Yang, Louis-Benoit Desroches, Scott J. Young, Bereket Beraki, Sarah K. Price, Stacy Pratt, Henry Willem y Sally M. Donovan. U.S. residential consumer product information: Validation of methods for post-stratification weighting of Amazon Mechanical Turk surveys. Office of Scientific and Technical Information (OSTI), abril de 2013. http://dx.doi.org/10.2172/1171750.
Texto completoOlefirenko, Nadiia V., Ilona I. Kostikova, Nataliia O. Ponomarova, Kateryna O. Lebedieva, Vira M. Andriievska y Andrey V. Pikilnyak. Training elementary school teachers-to-be at Computer Science lessons to evaluate e-tools. [б. в.], julio de 2020. http://dx.doi.org/10.31812/123456789/3890.
Texto completoDutra, Lauren M., Matthew C. Farrelly, Brian Bradfield, Jamie Ridenhour y Jamie Guillory. Modeling the Probability of Fraud in Social Media in a National Cannabis Survey. RTI Press, septiembre de 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0046.2109.
Texto completoJob, Jacob. Mesa Verde National Park: Acoustic monitoring report. National Park Service, julio de 2021. http://dx.doi.org/10.36967/nrr-2286703.
Texto completoDriving Confidence in a Connected Vehicle Environment: A Case Study of Expressway Work Zone. SAE International, diciembre de 2020. http://dx.doi.org/10.4271/2020-01-5210.
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