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Parametric model
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411	3.5 Global Analysis[removed]Introduction The 4-dimensional variational data assimilation (4D-Var) system for the JMA Global Spectral Model (GSM) has been in operation since February 2005 in place of the 3-dimensional vari Add to Reading List Source URL: www.jma.go.jp Language: English - Date: 2011-03-21 11:00:00 Estimation theory Statistical models Parametric statistics Data assimilation Linear regression Variance Dimensional analysis Vorticity Dummy variable Statistics Regression analysis Econometrics
412	A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coecients Javier Portilla and Eero P. Simoncelli Center for Neural Science, and Courant Institute of Mathematical Sciences, New York University, Ne Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2003-12-08 11:07:20 Principle of maximum entropy Entropy Statistical ensemble X0 Statistical theory Statistics Probability and statistics
413	[removed]Lec. 3: Experimental Design Principles[removed]I. Review of Statistical Principles: One-Way ANOVA (§7.2) A. Ideal Model: Each member of a population has a potential quantitative outcome Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-09-01 13:33:13 Statistical inference Statistical tests Parametric statistics Null hypothesis Statistical power F-test Multiple comparisons Statistical hypothesis testing Analysis of variance Statistics Hypothesis testing Design of experiments
414	Fitting Length-Weight Relationships with Linear Regression Using the Log-Transformed Allometric Model with Bias-Correction Jon Brodziak Add to Reading List Source URL: www.pifsc.noaa.gov Language: English - Date: 2012-09-06 05:47:37 Econometrics Parametric statistics Actuarial science Maximum likelihood Linear regression Normal distribution Ordinary least squares Allometry Poisson regression Statistics Estimation theory Regression analysis
415	JMLR: Workshop and Conference Proceedings vol[removed]–13 The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators Fares Hedayati Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2012-07-19 21:33:48 Maximum likelihood Fisher information Parametric model Estimation theory Statistics Statistical theory
416	Active Contours (SNAKES) • Back to boundary detection – This time using perceptual grouping. • This is non-parametric – We’re not looking for a contour of a specific Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2003-03-20 11:02:30 Routing algorithms Search algorithms Combinatorial optimization Computer vision Network theory Shortest path problem A* search algorithm Active contour model Dynamic programming Mathematics Applied mathematics Theoretical computer science
417	Making Sense of Isolationism: Foreign Policy Mood as a Multilevel Phenomenon Supplementary Appendix (Updated: December 14, 2012) Joshua D. Kertzer Contents Add to Reading List Source URL: people.fas.harvard.edu Language: English - Date: 2014-07-07 14:24:16 Analysis of variance Parametric statistics Design of experiments Multilevel model Hierarchical database model Economic model Logistic regression Statistics Statistical models Regression analysis
418	Capital asset pricing model with fuzzy returns and hypothesis testing Alfred Mbairadjim M. Lameta Université Montpellier I Add to Reading List Source URL: umanitoba.ca Language: English - Date: 2014-08-19 17:08:43 Parametric statistics Regression analysis Econometrics Capital asset pricing model Beta Ordinary least squares Covariance Multivariate random variable Linear regression Statistics Mathematical finance Estimation theory
419	IRRA at TREC 2010: Index Term Weighting by Divergence From Independence Model 1 Bekir Taner Din¸cer Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2011-02-23 10:42:22 Natural language processing Statistical natural language processing Tf*idf DFR Search engine indexing N-gram Non-parametric statistics Index term Information science Information retrieval Science
420	Dynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant Process : with Applications to Evolutionary Clustering Amr Ahmed Eric Xing School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-02-01 08:51:44 Markov models Multivariate statistics Data mining K-means clustering Data stream clustering Mixture model Dirichlet process Hidden Markov model Spectral clustering Statistics Machine learning Cluster analysis

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