Gotowa bibliografia na temat „Multiple mean estimation”
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Artykuły w czasopismach na temat "Multiple mean estimation"
Green, Edwin J., William E. Strawderman, Ralph L. Amateis i Gregory A. Reams. "Improved Estimation for Multiple Means with Heterogeneous Variances". Forest Science 51, nr 1 (1.02.2005): 1–6. http://dx.doi.org/10.1093/forestscience/51.1.1.
Pełny tekst źródłaLiu, Huan Bin. "Additive-Accelerated Mean Regression Model for Multiple Type Recurrent Events". Advanced Engineering Forum 6-7 (wrzesień 2012): 93–96. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.93.
Pełny tekst źródłaSedeeq, Bekhal Samad, Hogr Mohammed Qader, Azhy Akram Aziz i Dlshad Mahmood Saleh. "Implementing a New Scale Technique in the M-Estimation Method to Estimate Parameters of Multiple Linear Regression: Simulation Study". Tikrit Journal of Administrative and Economic Sciences 19, nr 64, 1 (31.12.2023): 712–25. http://dx.doi.org/10.25130/tjaes.19.64.1.38.
Pełny tekst źródłaPinette, M. G., Y. Pan, S. G. Pinette, J. Blackstone, J. Garrett i A. Cartin. "Estimation of fetal weight: mean value from multiple formulas." Journal of Ultrasound in Medicine 18, nr 12 (grudzień 1999): 813–17. http://dx.doi.org/10.7863/jum.1999.18.12.813.
Pełny tekst źródłaKim, Jae-Hee, i Sooy-Oung Cheon. "Multiple Change-Point Estimation of Air Pollution Mean Vectors". Korean Journal of Applied Statistics 22, nr 4 (31.08.2009): 687–95. http://dx.doi.org/10.5351/kjas.2009.22.4.687.
Pełny tekst źródłaRao, Zhushi, Qinzhong Shi i Ichiro Hagiwara. "Optimal Estimation of Dynamic Loads for Multiple-Input System". Journal of Vibration and Acoustics 121, nr 3 (1.07.1999): 397–401. http://dx.doi.org/10.1115/1.2893993.
Pełny tekst źródłaLee, Andrew Sanghyun, Yuandi Wu, Stephen Andrew Gadsden i Mohammad AlShabi. "Interacting Multiple Model Estimators for Fault Detection in a Magnetorheological Damper". Sensors 24, nr 1 (31.12.2023): 251. http://dx.doi.org/10.3390/s24010251.
Pełny tekst źródłaOmar Gan, Sarimah, i Sabri Ahmad. "ESTIMATION OF TRADE BALANCE USING MULTIPLE LINEAR REGRESSION MODEL". Labuan Bulletin of International Business and Finance (LBIBF) 16 (30.11.2018): 44–52. http://dx.doi.org/10.51200/lbibf.v16i.1642.
Pełny tekst źródłaNeubauer, Jirí, i Vítezslav Veselý. "Detection of multiple changes in mean by sparse parameter estimation". Nonlinear Analysis: Modelling and Control 18, nr 2 (25.04.2013): 177–90. http://dx.doi.org/10.15388/na.18.2.14021.
Pełny tekst źródłaNajlaa Ali Dhumad i Abbas Lafta Kneehr. "Comparison Of Some Estimation Methods For The Estimators Of Marshall Olkin Distribution With Simulation". Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa 2, nr 4 (19.08.2024): 234–47. http://dx.doi.org/10.62383/bilangan.v2i4.204.
Pełny tekst źródłaRozprawy doktorskie na temat "Multiple mean estimation"
Potter, Chris. "Modeling Channel Estimation Error in Continuously Varying MIMO Channels". International Foundation for Telemetering, 2007. http://hdl.handle.net/10150/604490.
Pełny tekst źródłaThe accuracy of channel estimation plays a crucial role in the demodulation of data symbols sent across an unknown wireless medium. In this work a new analytical expression for the channel estimation error of a multiple input multiple output (MIMO) system is obtained when the wireless medium is continuously changing in the temporal domain. Numerical examples are provided to illustrate our findings.
Feng, Limin. "JAMES-STEIN TYPE COMPOUND ESTIMATION OF MULTIPLE MEAN RESPONSE FUNCTIONS AND THEIR DERIVATIVES". UKnowledge, 2013. http://uknowledge.uky.edu/statistics_etds/6.
Pełny tekst źródłaFermanian, Jean-Baptiste. "High dimensional multiple means estimation and testing with applications to machine learning". Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASM035.
Pełny tekst źródłaIn this thesis, we study the influence of high dimension in testing and estimation problems. We analyze the dimension dependence of the separation rate of a closeness test and of the quadratic risk of multiple vector estimation. We complement existing results by studying these dependencies in the case of non-isotropic distributions. For such distributions, the role of dimension is played by notions of effective dimension defined from the covariance of the distributions. This framework covers infinite-dimensional data such as kernel mean embedding, a machine learning tool we will be seeking to estimate. Using this analysis, we construct methods for simultaneously estimating mean vectors of different distributions from independent samples of each. These estimators perform better theoretically and practically than the empirical mean in unfavorable situations where the (effective) dimension is large. These methods make explicit or implicit use of the relative ease of testing compared with estimation. They are based on the construction of estimators of distances and moments of covariance, for which we provide non-asymptotic concentration bounds. Particular interest is given to the study of bounded data, for which a specific analysis is required. Our methods are accompanied by a minimax analysis justifying their optimality. In a final section, we propose an interpretation of the attention mechanism used in Transformer neural networks as a multiple vector estimation problem. In a simplified framework, this mechanism shares similar ideas with our approaches, and we highlight its denoising effect in high dimension
Tran, Nguyen Duy. "Performance bounds in terms of estimation and resolution and applications in array processing". Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2012. http://tel.archives-ouvertes.fr/tel-00777503.
Pełny tekst źródłaThomas, Robin Rajan. "Optimisation of adaptive localisation techniques for cognitive radio". Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/27076.
Pełny tekst źródłaDissertation (MEng)--University of Pretoria, 2012.
Electrical, Electronic and Computer Engineering
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Vestin, Albin, i Gustav Strandberg. "Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms". Thesis, Linköpings universitet, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.
Pełny tekst źródłaHunter, Brandon. "Channel Probing for an Indoor Wireless Communications Channel". BYU ScholarsArchive, 2003. https://scholarsarchive.byu.edu/etd/64.
Pełny tekst źródła"Distributed estimation in wireless sensor networks under a semi-orthogonal multiple access technique". Thesis, 2014. http://hdl.handle.net/10388/ETD-2014-09-1753.
Pełny tekst źródłaTenenbaum, Adam. "MSE-based Linear Transceiver Designs for Multiuser MIMO Wireless Communications". Thesis, 2011. http://hdl.handle.net/1807/31954.
Pełny tekst źródłaDutta, Amit Kumar. "Transceiver Design Based on the Minimum-Error-Probability Framework for Wireless Communication Systems". Thesis, 2015. http://etd.iisc.ac.in/handle/2005/3732.
Pełny tekst źródłaKsiążki na temat "Multiple mean estimation"
Yang, Ming-Chung. Estimation of multiple poisson means under entropy loss. 1986.
Znajdź pełny tekst źródłaButz, Martin V., i Esther F. Kutter. Top-Down Predictions Determine Perceptions. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.003.0009.
Pełny tekst źródłaCzęści książek na temat "Multiple mean estimation"
Cetintav, Bekir, Gozde Ulutagay, Selma Gurler i Neslihan Demirel. "Mean Estimation Based on FWA Using Ranked Set Sampling with Single and Multiple Rankers". W Information Processing and Management of Uncertainty in Knowledge-Based Systems, 790–97. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40581-0_64.
Pełny tekst źródłaAbdelhady, Aya Salama, Aboul Ella Hassanien, Yasser Mahmoud Awad, Moataz El-Gayar i Aly Fahmy. "Automatic Sheep Weight Estimation Based on K-Means Clustering and Multiple Linear Regression". W Advances in Intelligent Systems and Computing, 546–55. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99010-1_50.
Pełny tekst źródłaCarraro, Marco, Matteo Munaro, Alina Roitberg i Emanuele Menegatti. "Improved Skeleton Estimation by Means of Depth Data Fusion from Multiple Depth Cameras". W Intelligent Autonomous Systems 14, 1155–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48036-7_85.
Pełny tekst źródłaBrüningk, Sarah C., i Gibin G. Powathil. "Modelling Direct and Indirect Effects of Radiation: Experimental, Clinical and Environmental Implications". W NATO Science for Peace and Security Series A: Chemistry and Biology, 69–87. Dordrecht: Springer Netherlands, 2022. http://dx.doi.org/10.1007/978-94-024-2101-9_5.
Pełny tekst źródłaLegaz-Aparicio, Álvar-Ginés, Rafael Verdú-Monedero, Juan Morales-Sánchez, Jorge Larrey-Ruiz i Jesús Angulo. "Detection of Retinal Vessel Bifurcations by Means of Multiple Orientation Estimation Based on Regularized Morphological Openings". W IFMBE Proceedings, 317–20. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00846-2_79.
Pełny tekst źródłaRastogi, Krati, i Divya Lohani. "Edge Computing-Based Internet of Things Framework for Indoor Occupancy Estimation". W Research Anthology on Edge Computing Protocols, Applications, and Integration, 619–43. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5700-9.ch031.
Pełny tekst źródłaBrown, Philip J. "Regularized multiple regression". W Measurement, Regression, and Calibration, 51–84. Oxford University PressOxford, 1994. http://dx.doi.org/10.1093/oso/9780198522454.003.0004.
Pełny tekst źródłaKovačević, Branko, Zoran Banjac i Tomislav Unkašević. "Perspective Chapter: Approximate Kalman Filter Using M-Robust Estimate Dynamic Stochastic Approximation with Parallel Adaptation of Unknown Noise Statistics by Huber’s M-Robust Parameter Estimator". W Kalman Filters -Theory, Applications, and Optimization [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1004294.
Pełny tekst źródłaEid, Abdulrahman M., Ali Bou Nassif, Chaouki Ghenai, Heba Y. Youssef, Latifa A. Alkhaja i Hajar H. Almazrouei. "Machine Learning-Based SOC Prediction for Lithium-ion Batteries in Electric Vehicles". W Chronicle of Computing. Oklahoma International Publishing, 2024. http://dx.doi.org/10.55432/978-1-6692-0007-9_12.
Pełny tekst źródłaAggarwal, Ritu, i Suneet Kumar. "Missing Value Imputation and Estimation Methods for Arrhythmia Feature Selection Classification Using Machine Learning Algorithms". W Machine Learning Methods for Engineering Application Development, 145–63. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9879815079180122010013.
Pełny tekst źródłaStreszczenia konferencji na temat "Multiple mean estimation"
Guibert, Alexandre, Álvaro Díaz-Flores, Anirban Chaudhuri i H. Alicia Kim. "Multifidelity Uncertainty Quantification in Battery Performance for eVTOL Flights Under Material and Loading Uncertainties". W Vertical Flight Society 80th Annual Forum & Technology Display, 1–8. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1167.
Pełny tekst źródłaSekokotoana, Lehlohonolo Edwin, Fambirai Takawira i Olutayo Oyeyemi Oyerinde. "Least Mean Squares Channel Estimation for Downlink Non-Orthogonal Multiple Access". W 2019 IEEE AFRICON. IEEE, 2019. http://dx.doi.org/10.1109/africon46755.2019.9133868.
Pełny tekst źródłaWilson, D. Keith, Chris L. Pettit i Vladimir Ostashev. "Bayesian estimation of mean transmission loss along multiple paths with randomly scattered signals". W 176th Meeting of Acoustical Society of America 2018 Acoustics Week in Canada. Acoustical Society of America, 2018. http://dx.doi.org/10.1121/2.0000968.
Pełny tekst źródłaBen Hassen, Sonia, Faouzi Bellili, Abdelaziz Samet i Sofiene Affes. "Estimation of Angular Spreads and Mean Angles of Arrival for Multiple Incoherently-Distributed Noncircular Sources". W 2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB). IEEE, 2015. http://dx.doi.org/10.1109/icuwb.2015.7324449.
Pełny tekst źródłaAlecsa, Cristian Daniel. "G-KMM: A Flexible Kernel Mean Matching Optimization Method for Density Ratio Estimation Involving Multiple Train & Test Datasets". W 12th International Conference on Soft Computing, Artificial Intelligence and Applications. Academy & Industry Research Collaboration Center, 2023. http://dx.doi.org/10.5121/csit.2023.132422.
Pełny tekst źródłaYoung, Monica J., Mark N. Glauser, Hiroshi Higuchi i Jeffrey Taylor. "Towards Sensing and Control of Separation in Subsonic Flows". W ASME/JSME 2003 4th Joint Fluids Summer Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/fedsm2003-45586.
Pełny tekst źródłaHamadate, Naoya, Keiichi Watanuki i Kazunori Kaede. "Confidence Estimation in Multiple Choice Questions Using Eye Movements". W 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001801.
Pełny tekst źródłaHardesty, R. M., i Barry J. Rye. "Simulations of discrete spectral peak estimators for single and multiple lidar pulse returns". W Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/clr.1991.tha2.
Pełny tekst źródłaOba, Ryoya, Keiichi Watanuki, Kazunori Kaede i Yusuke Osawa. "Feature Selection for Machine Learning-Based Core Body Temperature Estimation Using Hand-Measurable Biological Information". W AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004362.
Pełny tekst źródłaPinardi, Daniel, Angelo Farina, Marco Binelli i Andrea Toscani. "Estimation of Diagonal Volterra Kernels of an Audio System During Normal Operation with Multiple Least Mean Squares Adaptive Filters". W 2023 Immersive and 3D Audio: from Architecture to Automotive (I3DA). IEEE, 2023. http://dx.doi.org/10.1109/i3da57090.2023.10289311.
Pełny tekst źródłaRaporty organizacyjne na temat "Multiple mean estimation"
DiGrande, Laura, Sue Pedrazzani, Elizabeth Kinyara, Melanie Hymes, Shawn Karns, Donna Rhodes i Alanna Moshfegh. Field Interviewer– Administered Dietary Recalls in Participants’ Homes: A Feasibility Study Using the US Department of Agriculture’s Automated Multiple-Pass Method. RTI Press, maj 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0045.2105.
Pełny tekst źródłaTarko, Andrew P., Mario Romero, Cristhian Lizarazo i Paul Pineda. Statistical Analysis of Safety Improvements and Integration into Project Design Process. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317121.
Pełny tekst źródłaClarke, Paul S., Tom M. Palmer i Frank Windmeijer. Estimating structural mean models with multiple instrumental variables using the generalised method of moments. Institute for Fiscal Studies, sierpień 2011. http://dx.doi.org/10.1920/wp.cem.2011.2811.
Pełny tekst źródłaHibbert, Angela, i Begona Pérez Gómez. Operational monitoring systems available at the three sites. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d5.9.
Pełny tekst źródłaMizrach, Amos, Michal Mazor, Amots Hetzroni, Joseph Grinshpun, Richard Mankin, Dennis Shuman, Nancy Epsky i Robert Heath. Male Song as a Tool for Trapping Female Medflies. United States Department of Agriculture, grudzień 2002. http://dx.doi.org/10.32747/2002.7586535.bard.
Pełny tekst źródłaGrundy, Helen H., Lucy C. Brown, Mark Sykes, M. Rosario Romero i Dominic Anderson. Review of allergen analytical testing methodologies. Food Standards Agency, wrzesień 2023. http://dx.doi.org/10.46756/sci.fsa.noe660.
Pełny tekst źródłaBonfil, David J., Daniel S. Long i Yafit Cohen. Remote Sensing of Crop Physiological Parameters for Improved Nitrogen Management in Semi-Arid Wheat Production Systems. United States Department of Agriculture, styczeń 2008. http://dx.doi.org/10.32747/2008.7696531.bard.
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