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Mean squared error
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201	DOUBLE PEAK DETECTION IN XY THROUGH NEURAL NETWORKS FOR XENON10 Marc Z. Miskin August 3, 2007 ABSTRACT: To reduce the background stemming from multiple scattering events, a neural network (NN) was developed to distinguis Add to Reading List Source URL: www.nevis.columbia.edu Language: English - Date: 2007-08-03 13:32:07 Econometrics Network architecture Networks Mean squared error Tropospheric scatter Perceptron Color Topology Statistics Neural networks Computational neuroscience
202	Rejoinder: Matched Pairs and the Future of Cluster-Randomized Experiments Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2013-02-14 13:06:09 Randomized controlled trial Linear regression Estimation theory Experiment Bias of an estimator Randomization Maximum likelihood Mean squared error Blocking Statistics Design of experiments Randomized experiment
203	Annual Evaluation of Models-3 CMAQ Using 2001 Simulation Add to Reading List Source URL: www.epa.gov Language: English - Date: 2012-02-01 09:09:22 Mean squared error Particulates Errors and residuals in statistics Simulation Scientific modelling Statistics Root-mean-square deviation Estimation theory
204	Uncertainty Over Models and Data: The Rise and Fall of American Inflation Add to Reading List Source URL: www.federalreserve.gov Language: English - Date: 2009-10-26 12:28:56 Regression analysis Data analysis Estimation theory Uncertainty Forecasting Errors and residuals in statistics Mean squared error Economic model Parameter Statistics Measurement Statistical theory
205	Prediction Error Estimation: A Comparison of Resampling Methods Annette M. Molinaro ∗ Biostatistics Branch Division of Cancer Epidemiology and Genetics, NCI, NIH Richard Simon Add to Reading List Source URL: linus.nci.nih.gov Language: English - Date: 2013-03-12 10:01:36 Estimation theory Data analysis Monte Carlo methods Cross-validation Resampling Bootstrapping Mean squared error Regression analysis Estimator Statistics Statistical inference Computational statistics
206	Sociological Methods & Research http://smr.sagepub.com/ The Bias and Efficiency of Incomplete-Data Estimators in Small Univariate Normal Samples Add to Reading List Source URL: www.utexas.edu Language: English - Date: 2014-03-07 12:02:05 Point estimation Bias of an estimator Mean squared error M-estimator Minimum-variance unbiased estimator Maximum likelihood Efficiency Bayes estimator Sample maximum and minimum Statistics Estimation theory Estimator
207	ESTIMATORS AND THE ESTIMATION PROCESS by Charles R. Perry, Jr. The objective of any survey is to provide information on the characteristics of the population by examining a subset of the population. By analyzing the data Add to Reading List Source URL: nass.usda.gov Language: English - Date: 2012-02-23 10:28:32 Statistical theory Robust regression M-estimators Estimator Mean squared error Efficiency Sample size determination Sampling Point estimation Statistics Estimation theory Statistical inference
208	Generic Pest Forecast System (GPFS): Modeling Exotic Species Add to Reading List Source URL: www.pestrisk.org Language: English - Date: 2013-11-20 18:48:00 Mean squared error IBM General Parallel File System Mean absolute error Errors and residuals in statistics Statistics Estimation theory Time series analysis
209	Annual Evaluation of Models-3 CMAQ Using 2001 Simulation Add to Reading List Source URL: www.epa.gov Language: English - Date: 2012-02-01 09:09:22 Mean squared error Particulates Errors and residuals in statistics Simulation Scientific modelling Statistics Root-mean-square deviation Estimation theory
210	C 2008 The Authors Tellus (2008), 60A, 361–371 C 2008 Blackwell Munksgaard Add to Reading List Source URL: www.cmar.csiro.au Language: English - Date: 2008-05-19 21:46:31 Control theory Bayesian statistics Statistical forecasting Ensemble Kalman filter Kalman filter Data assimilation Root-mean-square deviation Mean squared error Forecasting Statistics Estimation theory Linear filters

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