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Analysis of covariance
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241	Exploratory spatiotemporal data analysis and modelling of public confidence in the police in central London Williams D1, Haworth J†1 and Cheng T‡1 1 Department of Civil, Environmental and Geomatic Engineering, Univ Add to Reading List Source URL: leeds.gisruk.org Language: English* - Date: 2015-04-19 18:20:17 Time series analysis Covariance and correlation Geography Variogram Spatial analysis Indicators of spatial association Autocorrelation Correlogram Semivariance Statistics Geostatistics Spatial data analysis
242	PDF Document Add to Reading List Source URL: www.esp.org Language: English - Date: 2010-05-11 22:25:57 Econometrics Covariance and correlation Least squares Partial correlation G factor Correlation and dependence Linear least squares Ordinary least squares Analysis of variance Statistics Regression analysis Parametric statistics
243	PDF Document Add to Reading List Source URL: volcanoes.usgs.gov Language: English - Date: 2012-09-02 11:49:32 Variance Covariance matrix Degrees of freedom Statistics Data analysis Quadtree
244	PDF Document Add to Reading List Source URL: gss.civilservice.gov.uk Language: English - Date: 2014-02-07 05:34:08 Multivariate statistics Statistical tests Econometrics Analysis of covariance One-way ANOVA F-test Multivariate analysis of variance Dummy variable Linear regression Statistics Analysis of variance Regression analysis
245	PDF Document Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2011-11-17 13:32:24 Errors and residuals in statistics Linear regression Coefficient of determination Analysis of variance Qualitative data Regression model validation Least squares Statistics Regression analysis Analysis of covariance
246	IAPT: The correlation coefficient Martin Bland The correlation coefficient Correlation coefficients are used to measure the strength of the relationship or association between two quantitative variables. For example, Tab Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2009-03-02 06:59:41 Data analysis Parametric statistics Correlation and dependence Pearson product-moment correlation coefficient Scatter plot Variance Regression analysis Standard deviation Variable Statistics Covariance and correlation Statistical dependence
247	PDF Document Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:07 Pearson product-moment correlation coefficient Correlation Covariance Matrix Regression analysis Variance Sum of squares Statistics Covariance and correlation Correlation and dependence
248	Retrieval and Variability of Stratospheric Aerosols from SCIAMACHY Limb-scatter Observations L. A. Brinkhoff1, A. Rozanov1, F. Ernst1, C. von Savigny2, R. Hommel1, H. Bovensmann1, and J. P. Burrows1 Add to Reading List Source URL: www.iup.uni-bremen.de Language: English - Date: 2013-07-01 10:04:41 Algebra of random variables Covariance SCIAMACHY Optimal estimation Statistics Covariance and correlation Data analysis
249	Multiple Linear Regression in XLSTAT demoReg2.xls Data to run a multiple linear regression An Excel sheet with both the data and results can be downloaded by clicking here. The data have been obtained in Lewis T. and Tay Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-11-17 13:31:04 Simple linear regression Analysis of covariance Errors and residuals in statistics Coefficient of determination XLSTAT Bootstrapping Least squares Statistics Regression analysis Linear regression
250	IAPT: Regression Regression analyses Regression is the rather strange name given to a set of methods for predicting one variable from another. The data shown in Table 1 and come from a student project aimed at estimating Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2009-03-02 08:08:59 Coefficient of determination Logistic regression Simple linear regression Ordinary least squares Errors and residuals in statistics Body mass index Least squares Poisson regression Analysis of covariance Statistics Regression analysis Linear regression

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