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Sample mean and sample covariance
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21	This discussion paper is/has been under review for the journal Nonlinear Processes in Geophysics (NPG). Please refer to the corresponding final paper in NPG if available. Discussion Paper Nonlin. Processes Geophys. Disc Add to Reading List Source URL: www.nonlin-processes-geophys-discuss.net Language: English - Date: 2015-03-20 02:27:39 Estimation theory Linear filters Covariance and correlation Data assimilation Kalman filter Variance Covariance Sample mean and sample covariance Normal distribution Statistics Control theory Bayesian statistics
22	Ch.1 Correlation & Regression 1.1 Mean and Variance [Book, Sect.1.1, 1.2] Let x be a random variable which takes on discrete values. For example, x can be the outcome of a die cast, where the possible values are xi = i, Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-08-04 13:56:58 Probability theory Summary statistics Statistical dependence Variance Covariance Correlation and dependence Standard deviation Normal distribution Sample mean and sample covariance Statistics Covariance and correlation Data analysis
23	Understanding centre and spread (year 13) Centre and spread are the two most basic concepts used for descriptive and comparative statistics. If we are describing one sample or comparing two samples, we want to be able Add to Reading List Source URL: www.aucklandmaths.org.nz Language: English - Date: 2014-05-28 04:45:40 Interquartile range Average Sample mean and sample covariance Standard deviation Median Sample maximum and minimum Arithmetic mean Sample Human height Statistics Summary statistics Means
24	Evol Biol[removed]:126–139 DOI[removed]s11692[removed]RESEARCH ARTICLE Evolvability of the Primate Pelvic Girdle Add to Reading List Source URL: sites.bu.edu Language: English - Date: 2014-01-30 22:06:42 Hip bone Ilium RV coefficient Ischium Hip Acetabulum Human pelvis Sample mean and sample covariance Correlation and dependence Pelvis Statistics Covariance and correlation
25	Journal of Econometrics, forthcoming. An Econometric Method of Correcting for Unit Nonresponse Bias in Surveys Anton Korinek, Johan A. Mistiaen and Martin Ravallion1 Add to Reading List Source URL: siteresources.worldbank.org Language: English - Date: 2006-04-17 13:50:34 Variance Missing data Generalized method of moments M-estimator Sample mean and sample covariance Identifiability Consistent estimator Covariance Statistics Estimation theory Sampling
26	Microsoft Word - BAI Zhidong (14 Jan[removed]docx Add to Reading List Source URL: lx2.saas.hku.hk Language: English - Date: 2015-01-12 21:15:41 Data analysis Matrices Summary statistics Covariance matrix Variance Covariance Sample mean and sample covariance Portfolio optimization Estimation theory Statistics Covariance and correlation Investment
27	Microsoft Word - BONDON Pascal + PASCAL frederic (24 Mar[removed]docx Add to Reading List Source URL: lx2.saas.hku.hk Language: English - Date: 2015-03-20 07:17:20 Summary statistics Data analysis Signal processing Autoregressive–moving-average model Covariance matrix Covariance Sample mean and sample covariance Estimation theory Central limit theorem Statistics Covariance and correlation Matrices
28	Ann Inst Stat Math[removed]:359–373 DOI[removed]s10463[removed]On generalized expectation-based estimation of a population spectral distribution from high-dimensional data Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2015-03-19 01:33:54 Statistical inference Data analysis Matrices Summary statistics Estimator Eigenvalues and eigenvectors Covariance matrix Sample mean and sample covariance Variance Statistics Algebra Estimation theory
29	Kalman Filtering: Part II Ensemble-based Kalman Filters Instructor: Istvan Szunyogh Lecture: July Add to Reading List Source URL: www.jcsda.noaa.gov Language: English - Date: 2007-08-01 13:59:02 Systems theory Control theory Robot control Covariance and correlation Linear filters Kalman filter Data assimilation Covariance Sample mean and sample covariance Statistics Estimation theory Cybernetics
30	A General Method for Approximating Nonlinear Transformations of Probability Distributions Simon Julier and Jerey K. Uhlmann Robotics Research Group Department of Engineering Science University of Oxford Add to Reading List Source URL: www.smpp.northwestern.edu Language: English - Date: 2001-09-14 13:39:08 Robot control Control theory Estimation theory Kalman filter Covariance Sample mean and sample covariance Variance Cholesky decomposition Normal distribution Statistics Linear filters Covariance and correlation