Academic literature on the topic 'Multiple mean estimation'
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Journal articles on the topic "Multiple mean estimation"
Green, Edwin J., William E. Strawderman, Ralph L. Amateis, and Gregory A. Reams. "Improved Estimation for Multiple Means with Heterogeneous Variances." Forest Science 51, no. 1 (February 1, 2005): 1–6. http://dx.doi.org/10.1093/forestscience/51.1.1.
Full textLiu, Huan Bin. "Additive-Accelerated Mean Regression Model for Multiple Type Recurrent Events." Advanced Engineering Forum 6-7 (September 2012): 93–96. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.93.
Full textSedeeq, Bekhal Samad, Hogr Mohammed Qader, Azhy Akram Aziz, and 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, no. 64, 1 (December 31, 2023): 712–25. http://dx.doi.org/10.25130/tjaes.19.64.1.38.
Full textPinette, M. G., Y. Pan, S. G. Pinette, J. Blackstone, J. Garrett, and A. Cartin. "Estimation of fetal weight: mean value from multiple formulas." Journal of Ultrasound in Medicine 18, no. 12 (December 1999): 813–17. http://dx.doi.org/10.7863/jum.1999.18.12.813.
Full textKim, Jae-Hee, and Sooy-Oung Cheon. "Multiple Change-Point Estimation of Air Pollution Mean Vectors." Korean Journal of Applied Statistics 22, no. 4 (August 31, 2009): 687–95. http://dx.doi.org/10.5351/kjas.2009.22.4.687.
Full textRao, Zhushi, Qinzhong Shi, and Ichiro Hagiwara. "Optimal Estimation of Dynamic Loads for Multiple-Input System." Journal of Vibration and Acoustics 121, no. 3 (July 1, 1999): 397–401. http://dx.doi.org/10.1115/1.2893993.
Full textLee, Andrew Sanghyun, Yuandi Wu, Stephen Andrew Gadsden, and Mohammad AlShabi. "Interacting Multiple Model Estimators for Fault Detection in a Magnetorheological Damper." Sensors 24, no. 1 (December 31, 2023): 251. http://dx.doi.org/10.3390/s24010251.
Full textOmar Gan, Sarimah, and Sabri Ahmad. "ESTIMATION OF TRADE BALANCE USING MULTIPLE LINEAR REGRESSION MODEL." Labuan Bulletin of International Business and Finance (LBIBF) 16 (November 30, 2018): 44–52. http://dx.doi.org/10.51200/lbibf.v16i.1642.
Full textNeubauer, Jirí, and Vítezslav Veselý. "Detection of multiple changes in mean by sparse parameter estimation." Nonlinear Analysis: Modelling and Control 18, no. 2 (April 25, 2013): 177–90. http://dx.doi.org/10.15388/na.18.2.14021.
Full textNajlaa Ali Dhumad and 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, no. 4 (August 19, 2024): 234–47. http://dx.doi.org/10.62383/bilangan.v2i4.204.
Full textDissertations / Theses on the topic "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.
Full textThe 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.
Full textFermanian, 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.
Full textIn 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.
Full textThomas, Robin Rajan. "Optimisation of adaptive localisation techniques for cognitive radio." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/27076.
Full textDissertation (MEng)--University of Pretoria, 2012.
Electrical, Electronic and Computer Engineering
unrestricted
Vestin, Albin, and 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.
Full textHunter, Brandon. "Channel Probing for an Indoor Wireless Communications Channel." BYU ScholarsArchive, 2003. https://scholarsarchive.byu.edu/etd/64.
Full text"Distributed estimation in wireless sensor networks under a semi-orthogonal multiple access technique." Thesis, 2014. http://hdl.handle.net/10388/ETD-2014-09-1753.
Full textTenenbaum, Adam. "MSE-based Linear Transceiver Designs for Multiuser MIMO Wireless Communications." Thesis, 2011. http://hdl.handle.net/1807/31954.
Full textDutta, 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.
Full textBooks on the topic "Multiple mean estimation"
Yang, Ming-Chung. Estimation of multiple poisson means under entropy loss. 1986.
Find full textButz, Martin V., and Esther F. Kutter. Top-Down Predictions Determine Perceptions. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.003.0009.
Full textBook chapters on the topic "Multiple mean estimation"
Cetintav, Bekir, Gozde Ulutagay, Selma Gurler, and Neslihan Demirel. "Mean Estimation Based on FWA Using Ranked Set Sampling with Single and Multiple Rankers." In 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.
Full textAbdelhady, Aya Salama, Aboul Ella Hassanien, Yasser Mahmoud Awad, Moataz El-Gayar, and Aly Fahmy. "Automatic Sheep Weight Estimation Based on K-Means Clustering and Multiple Linear Regression." In 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.
Full textCarraro, Marco, Matteo Munaro, Alina Roitberg, and Emanuele Menegatti. "Improved Skeleton Estimation by Means of Depth Data Fusion from Multiple Depth Cameras." In Intelligent Autonomous Systems 14, 1155–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48036-7_85.
Full textBrüningk, Sarah C., and Gibin G. Powathil. "Modelling Direct and Indirect Effects of Radiation: Experimental, Clinical and Environmental Implications." In 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.
Full textLegaz-Aparicio, Álvar-Ginés, Rafael Verdú-Monedero, Juan Morales-Sánchez, Jorge Larrey-Ruiz, and Jesús Angulo. "Detection of Retinal Vessel Bifurcations by Means of Multiple Orientation Estimation Based on Regularized Morphological Openings." In IFMBE Proceedings, 317–20. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00846-2_79.
Full textRastogi, Krati, and Divya Lohani. "Edge Computing-Based Internet of Things Framework for Indoor Occupancy Estimation." In 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.
Full textBrown, Philip J. "Regularized multiple regression." In Measurement, Regression, and Calibration, 51–84. Oxford University PressOxford, 1994. http://dx.doi.org/10.1093/oso/9780198522454.003.0004.
Full textKovačević, Branko, Zoran Banjac, and 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." In Kalman Filters -Theory, Applications, and Optimization [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1004294.
Full textEid, Abdulrahman M., Ali Bou Nassif, Chaouki Ghenai, Heba Y. Youssef, Latifa A. Alkhaja, and Hajar H. Almazrouei. "Machine Learning-Based SOC Prediction for Lithium-ion Batteries in Electric Vehicles." In Chronicle of Computing. Oklahoma International Publishing, 2024. http://dx.doi.org/10.55432/978-1-6692-0007-9_12.
Full textAggarwal, Ritu, and Suneet Kumar. "Missing Value Imputation and Estimation Methods for Arrhythmia Feature Selection Classification Using Machine Learning Algorithms." In Machine Learning Methods for Engineering Application Development, 145–63. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9879815079180122010013.
Full textConference papers on the topic "Multiple mean estimation"
Guibert, Alexandre, Álvaro Díaz-Flores, Anirban Chaudhuri, and H. Alicia Kim. "Multifidelity Uncertainty Quantification in Battery Performance for eVTOL Flights Under Material and Loading Uncertainties." In 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.
Full textSekokotoana, Lehlohonolo Edwin, Fambirai Takawira, and Olutayo Oyeyemi Oyerinde. "Least Mean Squares Channel Estimation for Downlink Non-Orthogonal Multiple Access." In 2019 IEEE AFRICON. IEEE, 2019. http://dx.doi.org/10.1109/africon46755.2019.9133868.
Full textWilson, D. Keith, Chris L. Pettit, and Vladimir Ostashev. "Bayesian estimation of mean transmission loss along multiple paths with randomly scattered signals." In 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.
Full textBen Hassen, Sonia, Faouzi Bellili, Abdelaziz Samet, and Sofiene Affes. "Estimation of Angular Spreads and Mean Angles of Arrival for Multiple Incoherently-Distributed Noncircular Sources." In 2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB). IEEE, 2015. http://dx.doi.org/10.1109/icuwb.2015.7324449.
Full textAlecsa, Cristian Daniel. "G-KMM: A Flexible Kernel Mean Matching Optimization Method for Density Ratio Estimation Involving Multiple Train & Test Datasets." In 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.
Full textYoung, Monica J., Mark N. Glauser, Hiroshi Higuchi, and Jeffrey Taylor. "Towards Sensing and Control of Separation in Subsonic Flows." In ASME/JSME 2003 4th Joint Fluids Summer Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/fedsm2003-45586.
Full textHamadate, Naoya, Keiichi Watanuki, and Kazunori Kaede. "Confidence Estimation in Multiple Choice Questions Using Eye Movements." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001801.
Full textHardesty, R. M., and Barry J. Rye. "Simulations of discrete spectral peak estimators for single and multiple lidar pulse returns." In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/clr.1991.tha2.
Full textOba, Ryoya, Keiichi Watanuki, Kazunori Kaede, and Yusuke Osawa. "Feature Selection for Machine Learning-Based Core Body Temperature Estimation Using Hand-Measurable Biological Information." In AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004362.
Full textPinardi, Daniel, Angelo Farina, Marco Binelli, and Andrea Toscani. "Estimation of Diagonal Volterra Kernels of an Audio System During Normal Operation with Multiple Least Mean Squares Adaptive Filters." In 2023 Immersive and 3D Audio: from Architecture to Automotive (I3DA). IEEE, 2023. http://dx.doi.org/10.1109/i3da57090.2023.10289311.
Full textReports on the topic "Multiple mean estimation"
DiGrande, Laura, Sue Pedrazzani, Elizabeth Kinyara, Melanie Hymes, Shawn Karns, Donna Rhodes, and 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, May 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0045.2105.
Full textTarko, Andrew P., Mario Romero, Cristhian Lizarazo, and Paul Pineda. Statistical Analysis of Safety Improvements and Integration into Project Design Process. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317121.
Full textClarke, Paul S., Tom M. Palmer, and Frank Windmeijer. Estimating structural mean models with multiple instrumental variables using the generalised method of moments. Institute for Fiscal Studies, August 2011. http://dx.doi.org/10.1920/wp.cem.2011.2811.
Full textHibbert, Angela, and Begona Pérez Gómez. Operational monitoring systems available at the three sites. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d5.9.
Full textMizrach, Amos, Michal Mazor, Amots Hetzroni, Joseph Grinshpun, Richard Mankin, Dennis Shuman, Nancy Epsky, and Robert Heath. Male Song as a Tool for Trapping Female Medflies. United States Department of Agriculture, December 2002. http://dx.doi.org/10.32747/2002.7586535.bard.
Full textGrundy, Helen H., Lucy C. Brown, Mark Sykes, M. Rosario Romero, and Dominic Anderson. Review of allergen analytical testing methodologies. Food Standards Agency, September 2023. http://dx.doi.org/10.46756/sci.fsa.noe660.
Full textBonfil, David J., Daniel S. Long, and Yafit Cohen. Remote Sensing of Crop Physiological Parameters for Improved Nitrogen Management in Semi-Arid Wheat Production Systems. United States Department of Agriculture, January 2008. http://dx.doi.org/10.32747/2008.7696531.bard.
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