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Mean integrated squared error
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1	Estimating and Combining Uncertainties 8th Annual ITEA Instrumentation Workshop Park Plaza Hotel and Conference Center, Lancaster Ca. 5 May 2004 Howard Castrup, Ph.D. President, Integrated Sciences Group Add to Reading List Source URL: www.isgmax.com Language: English - Date: 2009-11-19 22:38:00 Uncertainty Errors and residuals in statistics Observational error Standard deviation Normal distribution Variance Mean squared error Estimation theory Standard error Statistics Measurement Measurement uncertainty
2	Analyzing Uncertainty for Risk Management1 Howard Castrup, Ph.D. President, Integrated Sciences Group Bakersfield, CASummary Add to Reading List Source URL: www.isgmax.com Language: English - Date: 2009-11-19 22:38:00 Uncertainty Errors and residuals in statistics Normal distribution Observational error Confidence interval Standard deviation Mean squared error Variance Statistical hypothesis testing Statistics Measurement Measurement uncertainty
3	Banco Central de Chile Documentos de Trabajo Central Bank of Chile Working Papers N° 669 Julio 2012 Add to Reading List Source URL: www.bcentral.cl Language: English - Date: 2012-07-18 18:27:45 Econometrics Unit root Mean squared prediction error Forecasting Autoregressive integrated moving average Statistics Time series analysis Statistical forecasting
4	Statistics & Operations Research Transactions SORT[removed]July-December 2010, [removed]ISSN: [removed]www.idescat.cat/sort/ Statistics & Add to Reading List Source URL: www.idescat.cat Language: English - Date: 2010-12-27 07:49:56 Statistical theory Statistical inference Kernel density estimation Maximum likelihood Normal distribution Mean integrated squared error Estimator Log-normal distribution Uniform distribution Statistics Non-parametric statistics Estimation theory
5	PDF Document Add to Reading List Source URL: www.federalreserve.gov Language: English - Date: 2001-09-12 17:45:18 Density estimation Nonparametric regression Mean integrated squared error Kernel Normal distribution Estimator Variance Estimation theory Gaussian function Statistics Non-parametric statistics Kernel density estimation
6	Bootstrap MSE Estimators to Obtain Bandwidth for Kernel Density Estimation Jeffrey C. Miecznikowski† University at Buffalo, Roswell Park Cancer Institute, Buffalo, NY, USA. Dongliang Wang University at Buffalo, Roswell Add to Reading List Source URL: sphhp.buffalo.edu Language: English - Date: 2014-07-04 07:13:22 Non-parametric statistics Statistical theory Data analysis Bootstrapping Kernel density estimation Estimator Maximum likelihood Mean integrated squared error Mean squared error Statistics Estimation theory Statistical inference
7	Very fast optimal bandwidth selection for univariate kernel density estimation VIKAS CHANDRAKANT RAYKAR and RAMANI DURAISWAMI Perceptual Interfaces and Reality Laboratory Department of Computer Science and Institute for Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-06-28 18:53:06 Density estimation Estimation theory Maximum likelihood Normal distribution Mean integrated squared error Kernel Gaussian function Closed and exact differential forms Variance Statistics Non-parametric statistics Kernel density estimation
8	Abbreviations and Acronyms Following are commonly used symbols. I give preference to Latin letters rather than Greek. Symbol Add to Reading List Source URL: armstrong.wharton.upenn.edu Language: English - Date: 2012-04-19 13:52:27 Mean squared error Mean absolute error Root-mean-square deviation Absolute deviation Errors and residuals in statistics Regression analysis Exponential smoothing Approximation error Autoregressive integrated moving average Statistics Time series analysis Mean absolute percentage error

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