Multivariate statistics

Results: 3894



#Item
861Statistics / Maximum likelihood / Probability density function / Estimation theory / M-estimators / Statistical theory

Nonparametric estimation of multivariate scale mixtures of uniform densities

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Source URL: www.stat.washington.edu

Language: English - Date: 2012-02-04 01:30:41
862Cluster analysis / Multivariate statistics / K-means clustering / Outlier / Random forest / Anomaly detection / Medoid / K-medoids / Principal component analysis / Statistics / Data analysis / Data mining

R and Data Mining: Examples and Case Studies 1 Yanchang Zhao

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Source URL: ftp.eenet.ee

Language: English - Date: 2013-04-26 09:13:28
863Principal component analysis / Singular value decomposition / Matrix / Spreadsheet / Factor analysis / Test / Statistics / Multivariate statistics / Data analysis

R reference card, by Jonathan Baron Parentheses are for functions, brackets are for indicating the position of items in a vector or matrix. (Here, items with numbers like x1 are user-supplied variables.) Miscellaneous

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Source URL: cran.sciserv.eu

Language: English - Date: 2001-02-09 10:33:01
864Variables / Elementary mathematics / Multivariate statistics / Econometrics / SPSS / R / Object / Linear discriminant analysis / Function / Statistics / Mathematics / Data types

Statistics with R and S-Plus tutorial presented at the Third Workshop on Experimental Methods in Language Acquisition Research (EMLAR) Hugo Quen´ e

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Source URL: cran.ms.unimelb.edu.au

Language: English - Date: 2006-11-10 11:34:58
865Statistical inference / Statistical theory / Econometrics / Linear regression / Bootstrapping / Efficient estimator / Maximum likelihood / Multivariate normal distribution / Estimator / Statistics / Estimation theory / Regression analysis

distributions of the residuals only. I propose to incorporate the multivariate information from the residual distribution into the updating scheme. U. P¨ otter

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Source URL: www.stat.ruhr-uni-bochum.de

Language: English - Date: 2014-02-26 08:39:03
866Multiple correspondence analysis / Principal component analysis / Multivariate analysis / Data analysis / Singular value decomposition / Factor analysis / Linear discriminant analysis / Analysis / Biplot / Statistics / Multivariate statistics / Correspondence analysis

Dynamic transitions between multivariate methods Michael Greenacre1,∗ 1. Departament d’Economia i Empresa, Universitat Pompeu Fabra, Barcelona * Contact author: Keywords:

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Source URL: math.agrocampus-ouest.fr

Language: English - Date: 2011-12-19 09:53:09
867Data analysis / Consensus clustering / K-means clustering / Clustering high-dimensional data / Oracle Data Mining / DBSCAN / Hierarchical clustering / Data stream clustering / Fuzzy clustering / Statistics / Cluster analysis / Multivariate statistics

R Reference Card for Data Mining by Yanchang Zhao, , January 3, 2013 The latest version is available at http://www.RDataMining.com. Click the link also for document R and Data Mining: Examples and

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Source URL: cran.cc.uoc.gr

Language: English - Date: 2013-01-05 06:05:58
868XLSTAT / Microsoft Excel / Contingency table / Correspondence analysis / Plot / Chart / Table / Matrix / Statistics / Data analysis / Multivariate statistics

Running a Correspondence Analysis (CA) from a raw data table with XLSTAT and plot a 3D representation with XLSTAT-3D Plot demoCorrrespondenceAnalysis2.xls Dataset for running a Correspondence Analysis from a raw

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Source URL: www.statisticalinnovations.com

Language: English - Date: 2011-11-17 10:18:46
869Trigonometry / Multivariate statistics / Triangle geometry / Triangles / Data analysis / Principal component analysis / Trigonometric functions / Triangle / Euclidean vector / Mathematics / Geometry / Algebra

Customizing a PCA chart with XLSTAT to make it easier to interpret demoEasy.xls Dataset for customizing the plot An Excel sheet with both the data and results used in this tutorial can be downloaded by clicking

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Source URL: www.statisticalinnovations.com

Language: English - Date: 2011-11-21 13:33:28
870Network analysis / K-means clustering / Multivariate statistics / Data analysis / Consensus clustering / Statistics / Cluster analysis / Hierarchical clustering

Clustering big datasets with XLSTAT - Using k-means clustering followed by an AHC demoCluster3.xls Dataset to cluster An Excel sheet containing both the data and the results for use in this tutorial can be downloaded

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Source URL: www.statisticalinnovations.com

Language: English - Date: 2011-11-17 08:21:06
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