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Estimation theory
Results: 8035

#	Item
861	Event-Based State Estimation with Variance-Based Triggering Sebastian Trimpe, Member, IEEE, and Raffaello D’Andrea, Fellow, IEEE Abstract—An event-based state estimation scenario is considered where multiple distribu Add to Reading List Source URL: www.idsc.ethz.ch Language: English - Date: 2015-06-18 23:43:26 Estimation theory Robot control Kalman filter Normal distribution Variance Estimator State observer Statistics Control theory Statistical inference
862	March 7th , 2014 Kobe Convention Center 4th Research Meeting of Ultra-high Precision Meso-scale Weather Prediction Add to Reading List Source URL: www.jamstec.go.jp Language: English - Date: 2014-06-27 02:35:03 Control theory Cybernetics Linear filters Systems theory Data assimilation Statistical forecasting XT Ensemble Kalman filter Kalman filter Statistics Bayesian statistics Estimation theory
863	Q IWA Publishing 2006 Journal of Hydroinformatics \| 08.3 \| Groundwater pollution risk using a modified Latin hypercube sampling Add to Reading List Source URL: www.iwaponline.com Language: English - Date: 2006-06-12 11:39:02 Importance sampling Variance reduction Variance Latin hypercube sampling Hydrogeology Normal distribution Estimation theory Sensitivity analysis Standard error Statistics Statistical inference Data analysis
864	The assimilation of AIRS radiance data at ECMWF A.P. McNally, P.D. Watts, J.A. Smith European Centre for Medium-range Weather Forecasts Reading, RG2-9AX, UK Introduction The NASA AQUA spacecraft was launched in May 2002 Add to Reading List Source URL: cimss.ssec.wisc.edu Language: English - Date: 2004-04-17 11:23:16 Statistics Estimation theory Weather prediction Atmospheric radiative transfer codes RTTOV Weather forecasting Data assimilation Advanced Microwave Sounding Unit Weather Atmospheric sciences Meteorology Statistical forecasting
865	Online Appendix for “Managerial risk-taking incentives and corporate pension policy” by Divya Anantharaman and Yong Gyu Lee This document provides supplemental analyses and robustness tests to the main results presen Add to Reading List Source URL: jfe.rochester.edu Language: English - Date: 2015-01-12 10:29:46 Estimation theory Fixed effects model Variable Asset allocation Mathematics Regression analysis Statistics Analysis of variance
866	New Subsampling Algorithms for Fast Least Squares Regression Paramveer S. Dhillon1 Yichao Lu2 Dean Foster2 Lyle Ungar1 1 Add to Reading List Source URL: www.pdhillon.com Language: English - Date: 2013-10-17 13:01:12 Parametric statistics Probability theory Multivariate statistics Randomized algorithm Ordinary least squares Linear regression Multivariate random variable Variance Algorithm Statistics Estimation theory Regression analysis
867	INTERNATIONAL JOURNAL OF CLIMATOLOGY Int. J. ClimatolPublished online in Wiley InterScience (www.interscience.wiley.com) DOI: jocShort Communication Add to Reading List Source URL: hadobs.metoffice.com Language: English - Date: 2009-01-30 11:33:32 Time series analysis Econometrics Climate history Trend estimation Regression analysis Linear regression Temperature record Climate Forecasting Statistics Estimation theory Statistical forecasting
868	Learning to imitate stochastic time series in a compositional way by chaos Accepted in Neural Networks Jun Namikawa Add to Reading List Source URL: www.tech.plym.ac.uk Language: English - Date: 2011-03-23 09:51:20 Markov models Estimation theory Kullback–Leibler divergence Thermodynamics Recurrent neural network Long short term memory Hidden Markov model Maximum likelihood Markov chain Statistics Neural networks Statistical theory
869	Ghostscript wrapper for C:rstumentspsjginal-1.pdf Add to Reading List Source URL: ageconsearch.umn.edu Language: English - Date: 2011-09-29 14:45:52 Estimation theory Heteroscedasticity-consistent standard errors Generalized method of moments Linear regression Instrumental variable Estimator Heteroscedasticity T-statistic Maximum likelihood Statistics Econometrics Regression analysis
870	Spatial-temporal association between ﬁne particulate matter and daily mortality 1 Jungsoon Choi, Montserrat Fuentes, and Brian J. Reich Abstract Fine particulate matter (PM2.5 ) is a mixture of pollutants that has been Add to Reading List Source URL: www4.stat.ncsu.edu Language: English - Date: 2007-11-15 16:40:56 Actuarial science Estimation theory Linear regression Nonparametric regression Air pollution Poisson regression Generalized linear model Spatial epidemiology Statistics Regression analysis Econometrics

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