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Data analysis
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#	Item
731	Using the VARS button Plot variables When you find roots, intersections, extrema or signed areas in the PLOT view, the results are stored into variables for later use. Root to find the x For example, if we use Add to Reading List Source URL: www.hphomeview.com Language: English Descriptive statistics Statistics Data analysis Summary statistics Robust statistics Means Outlier Statistical analysis Standard deviation Mode
732	Proceedings of the 1stACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics (DMGoffered under the auspices of the Add to Reading List Source URL: cervone.psu.edu Language: English - Date: 2015-11-18 09:12:45 Cluster analysis Statistics Computational statistics Data analysis Data mining Geostatistics DBSCAN Correlation clustering Polygon Consensus clustering Hierarchical clustering
733	Environment and Planning B: Planning and Design 2009, volume 36, pages 769 ^ 771 doi:b3605ged Guest editorial Add to Reading List Source URL: fromto.hig.se Language: English - Date: 2009-10-29 06:26:11 Cartography Geographic data and information Data Academia Geography Systems theory Complex systems theory Simulation Spatial analysis Agent-based model Geospatial analysis Cellular automaton
734	“Further unleashing the potential of statistics” Generic Statistical Capability Framework – Draft 2 Page 1 of 13 Add to Reading List Source URL: www.unsiap.or.jp Language: English - Date: 2016-07-08 05:15:08 Knowledge Academia Information Data management Applied statistics Business intelligence Data Demography Official statistics Data analysis Statistics Data quality
735	Discovering Strong Skyline Points in High Dimensional Spaces Zhenjie Zhang Xinyu Guo Add to Reading List Source URL: people.cs.aau.dk Language: English - Date: 2006-04-01 02:18:52 Algebra Mathematics Linear algebra Operator theory Projective geometry Group theory Functional analysis Linear subspace Vector space Clustering high-dimensional data SUBCLU
736	Quantitative Finance, Vol. 5, No. 2, April 2005, 153–168 Surprise volume and heteroskedasticity in equity market returns NIKLAS WAGNERy and TERRY A. MARSHz§ yMunich University of Technology, Germany Add to Reading List Source URL: www.wiwi.uni-passau.de Language: English* - Date: 2010-04-05 09:26:52 Statistics Time series analysis Mathematical finance Analysis Technical analysis Data analysis Options Autoregressive conditional heteroskedasticity Stochastic volatility Regression analysis Volatility Quantitative analyst
737	technical reports A model-based approach for analysis of spatial structure in genetic data © 2012 Nature America, Inc. All rights reserved. Add to Reading List Source URL: www.cs.tau.ac.il Language: English - Date: 2012-08-10 05:58:08 Coffee preparation Dolce Gusto Module:Europe topic/data
738	Microsoft PowerPointRole of Communication and Advocacy Add to Reading List Source URL: www.unsiap.or.jp Language: English - Date: 2016-07-08 05:15:07 Food and drink Visual arts Communication design Censuses Microdata Sampling Big data Data analysis Food and Agriculture Organization Infographic
739	A Method for Making Group Inferences Using Independent Component Analysis of Functional MRI Data: Exploring the Visual System V Calhoun , T Adali , G Pearlson , J Pekar Division of Psychiatry Neuro-Imaging, Johns Hopkins Add to Reading List Source URL: mialab.mrn.org Language: English - Date: 2011-04-29 13:52:09 Statistics Multivariate statistics Neuroscience Magnetic resonance imaging Neuroimaging Cognitive neuroscience Analysis Independent component analysis Signal processing Functional magnetic resonance imaging Principal component analysis Dynamic functional connectivity

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