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Statistic
Results: 1825

#	Item
641	1 Learning Graphical Model Parameters with Approximate Marginal Inference Justin Domke, NICTA & Australia National University Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2013-09-04 21:04:45 Expectation–maximization algorithm Maximum likelihood Bayes estimator Loss function Sufficient statistic Belief propagation Statistics Estimation theory Statistical theory
642	Microsoft Word - sample_program.doc Add to Reading List Source URL: ds.data.jma.go.jp Language: English - Date: 2012-01-06 04:13:11 Least squares Ordinary least squares Linear least squares Errors and residuals in statistics Variance Forecasting T-statistic Poisson regression Statistics Regression analysis Linear regression
643	SSF Guidance Material – Using Geographic Boundaries and Classifications with Statistics A typical statistic gives a numerical answer to a three-layered question:  What was observed?  Where was it observed ? Add to Reading List Source URL: www.nss.gov.au Language: English - Date: 2015-01-29 20:54:00 Spatial data analysis Mesh blocks Geocoding Statistical geography Region Data set Census in Australia Statistics Geography Geographic information systems
644	MAI Statistic[removed]Chart)-SC.xls Add to Reading List Source URL: www.mardep.gov.hk - Date: 2012-12-17 07:10:31
645	MAI Statistic[removed]Chart)-TC.xls Add to Reading List Source URL: www.mardep.gov.hk - Date: 2012-12-17 07:10:29
646	MAI Statistic[removed]Chart)-SC.xls Add to Reading List Source URL: www.mardep.gov.hk - Date: 2012-12-17 07:10:31
647	MAI Statistic[removed]Chart)-TC.xls Add to Reading List Source URL: www.mardep.gov.hk - Date: 2012-12-17 07:10:29
648	MAI Statistic[removed]Chart)-SC.xls Add to Reading List Source URL: www.mardep.gov.hk - Date: 2012-12-17 07:10:31
649	MAI Statistic[removed]Chart)-TC.xls Add to Reading List Source URL: www.mardep.gov.hk - Date: 2014-07-25 06:43:28
650	Microsoft Word - Session 15-1 Institutionalization of environment statistic… Add to Reading List Source URL: unstats.un.org Language: English - Date: 2005-04-07 10:33:02 Information Demography Data Scientific method Water quality United States Environmental Protection Agency Census Sampling Official statistics Statistics Science Survey methodology

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