Analysis of covariance

Results: 904



#Item
441Summary statistics / Statistical dependence / Algebra of random variables / Correlation and dependence / Standard deviation / Variance / Covariance matrix / Covariance / Deviation / Statistics / Covariance and correlation / Data analysis

ISSN[removed]amc technical briefs Editor: Michael Thompson Analytical Methods Committee

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Source URL: www.rsc.org

Language: English - Date: 2014-08-20 04:20:14
442Evaluation methods / Regression analysis / Statistical tests / Analysis of covariance / Factorial experiment / Statistical power / Restricted randomization / Randomized block design / F-test / Statistics / Design of experiments / Analysis of variance

PDF Document

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Source URL: media.wiley.com

Language: English - Date: 2013-08-25 10:14:00
443Mathematics / Neuroimaging / Regression analysis / Functional analysis / Radiobiology / Single-photon emission computed tomography / Iterative reconstruction / Diagonalizable matrix / Projection / Medicine / Matrices / Mathematical analysis

IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 23, NO. 12, DECEMBER[removed]Efficient Calculation of Resolution and Covariance for Penalized-Likelihood Reconstruction in Fully 3-D

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Source URL: deepblue.lib.umich.edu

Language: English - Date: 2013-09-17 13:43:08
444Information retrieval / Statistics / Correlation and dependence / Covariance and correlation / Statistical dependence / Normal distribution / Google Search / Search engine / URL normalization / Information science / Mathematical analysis / Internet search engines

On the Weakenesses of Correlation Measures used for Search Engines’ Results (Unsupervised Comparison of Search Engine Rankings) Paolo D’Alberto Ali Dasdan

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Source URL: arxiv.org

Language: English - Date: 2011-07-14 20:52:43
445Algebra of random variables / Regression analysis / Data analysis / Kriging / Covariance / Variance / Gaussian process / Propagation of uncertainty / Polynomial regression / Statistics / Covariance and correlation / Geostatistics

Preprint ANL/MCS-P1808[removed]Gradient-Enhanced Universal Kriging for Uncertainty Propagation Brian A. Lockwood ∗ and Mihai Anitescu †

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Source URL: www.mcs.anl.gov

Language: English - Date: 2011-11-17 16:22:30
446Statistical methods / Econometrics / Design of experiments / Analysis of covariance / Linear regression / F-test / Structural equation modeling / Restricted randomization / Statistical power / Statistics / Analysis of variance / Regression analysis

MA TE nature of, 215–216 prior presentation, 235

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Source URL: media.wiley.com

Language: English - Date: 2013-08-25 13:11:46
447General linear model / Generalized linear model / Analysis of variance / Linear regression / Multicollinearity / Data analysis / Coefficient of determination / Design matrix / Nonparametric regression / Statistics / Regression analysis / Analysis of covariance

Microsoft Word - 2e_c1.doc

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Source URL: media.wiley.com

Language: English - Date: 2013-08-25 16:11:14
448Matrices / Data analysis / Matrix / R / Biomass / Covariance matrix / Statistics / Regression analysis / Least squares

Stat 511 HW#4 Spring[removed]Consider the (non-full-rank) "effects model" for the 2 × 2 factorial (with 2 observations per cell) called "Example d)" in the first lecture. For each of the hypotheses below, identify a C a

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Source URL: www.public.iastate.edu

Language: English - Date: 2003-02-14 08:17:56
449Correlation and dependence / Regression analysis / Gene expression / Statistics / Covariance and correlation / Pearson product-moment correlation coefficient

Exploring Correlation The accompanying Excel spreadsheet (correl_explore_scenarios.xls) illustrates the concept of the Pearson correlation coefficient as a measurement of similarity between gene expression patterns. Ea

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Source URL: gcat.davidson.edu

Language: English - Date: 2009-08-12 23:24:31
450Time series analysis / Stochastic processes / Ergodic theory / Stationary process / Autocorrelation / Time series / Autocovariance / Ergodic process / Covariance / Statistics / Covariance and correlation / Signal processing

Chapter 26 Time Series So far, we have assumed that all data points are pretty much independent of each other. In the chapters on regression, we assumed that each Yi was independent of every other, given its Xi , and we

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Source URL: www.stat.cmu.edu

Language: English - Date: 2012-05-02 00:40:49
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