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Root-mean-square deviation
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291	Assimilation of Terrestrial Water Storage from GRACE in a Snowdominated Basin Barton Forman, Rolf Reichle, and Matthew Rodell (Code[removed]Overview: Passive microwave (e.g. AMSR-E) and visible spectrum (e.g. MODIS) measu Add to Reading List Source URL: gmao.gsfc.nasa.gov Language: English - Date: 2011-08-04 17:47:18 Physical geography Gravity Recovery and Climate Experiment Snow Root-mean-square deviation Data assimilation Surface runoff Water resources Water cycle Drainage basin Water Earth Hydrology
292	Using Empiric Semantic Correlation to Interpret Temporal Assertions in Clinical Texts Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Physical quantities Means Standard deviation Bond duration Time Root mean square Duration Standard error Frequency Statistics Summary statistics Data analysis
293	Microsoft Word - MMIFStat.Users.Guide[removed]doc Add to Reading List Source URL: www.epa.gov Language: English - Date: 2012-02-14 10:59:44 Econometrics Parametric statistics Least squares Root-mean-square deviation Errors and residuals in statistics Mean squared error T-statistic Linear regression Statistics Regression analysis Estimation theory
294	Guidance for Limited Use Alternate Test Procedure Applications for ASTM Method D7575 for Oil and Grease; March 2013 Add to Reading List Source URL: water.epa.gov Language: English - Date: 2013-09-20 15:53:49 Data collection Quality control Test method Root-mean-square deviation Spreadsheet Statistics Measurement Tests
295	Digital Elevation Model using ISTAR(an EDI application) and GPRO(a Horizons application) The ISTAR process is very efficient in the use of existing DEM data as well as the creation of new DEM data from autocorrelation m Add to Reading List Source URL: gis.utah.gov Language: English - Date: 2012-05-09 18:15:28 Topography Surveying Remote sensing USGS DEM Digital elevation model SOCET SET Root-mean-square deviation Datum Elevation Cartography Geodesy Measurement
296	INTRODUCTION A set of procdures was developed to compare the geometry of systematic NLAPS and LPGS images. Eleven scenes were then processed and comparison results were generated. The two systems compared favorably and b Add to Reading List Source URL: landsat.usgs.gov Language: English - Date: 2010-12-28 10:26:30 Root-mean-square deviation Error Measurement Standard deviation Correlation and dependence Errors and residuals in statistics Correlation Deviation Intelligence quotient Statistics Data analysis Covariance and correlation
297	Microsoft Word - T10-151_figures.docx Add to Reading List Source URL: www.fs.fed.us Language: English - Date: 2012-09-27 18:09:06 Data analysis Analysis of variance Sampling Survey methodology Mean squared error Errors and residuals in statistics Variance Root-mean-square deviation Coefficient of determination Statistics Regression analysis Least squares
298	North American Journal of Fisheries Management 30:565–587, 2010 Ó Copyright by the American Fisheries Society 2010 DOI: [removed]M09[removed]Article] Add to Reading List Source URL: www.fs.fed.us Language: English - Date: 2012-08-17 19:30:06 Hydrology Geomorphology Limnology Rivers Water streams Root-mean-square deviation Environmental monitoring Large woody debris Level of measurement Statistics Earth Environment
299	Supplement of Hydrol. Earth Syst. Sci., 18, 2657–2667, 2014 http://www.hydrol-earth-syst-sci.net[removed]doi:[removed]hess[removed]supplement © Author(s[removed]CC Attribution 3.0 License. Supplement of Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-07-24 06:37:37 Covariance and correlation Measurement Statistical dependence Bootstrapping Correlation and dependence Confidence interval Resampling Root-mean-square deviation Forecasting Statistics Statistical inference Data analysis
300	PDF Document Add to Reading List Source URL: media.wiley.com Language: English - Date: 2013-09-18 07:15:44 Solutions Medicinal chemistry Equilibrium chemistry Solubility Linear regression Root-mean-square deviation Partition coefficient Training set Box plot Statistics Econometrics Regression analysis

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