Empirical Likelihood Test for High Dimensional Linear Models Liang Peng1 , Yongcheng Qi2 and Ruodu Wang3 January 7, 2014 Abstract We propose an empirical likelihood method to test whether the coefficients in a possibly h

Source URL: sas.uwaterloo.ca

• Statistics
• Statistical theory
• Estimation theory
• Regression analysis
• Probability distributions
• Parametric statistics
• Bayesian statistics
• Normal distribution
• Linear regression
• Likelihood function

The eos.reportsSuite eos.reports not only simplifies data archiving and their ideal use by transport companies. eos.reports statistical analysis, this flexible product also helps

Source URL: www.eos-uptrade.de

• Information science
• Information retrieval
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• Information technology
• Data publishing
• Digital preservation
• Knowledge representation
• Research data archiving
• Structured storage

Supervised classification with interdependent variables to support targeted energy efficiency measures in the residential sector

Source URL: www.bitstoenergy.ch

• Regression analysis
• Statistical classification
• Econometrics
• Independence
• Machine learning
• Linear discriminant analysis
• Feature selection
• Linear regression
• Correlation and dependence
• Coefficient of determination
• Pattern recognition
• Support vector machine

Estimating the Rivalness of State-Level Inward FDI⇤ Marius Br¨ ulhart‡ Kurt Schmidheiny§

Source URL: www.schmidheiny.name

• Statistics
• Regression analysis
• Statistical models
• Actuarial science
• Categorical data
• Logit
• Dummy variable
• Logistic regression
• Foreign direct investment
• Discrete choice
• Mixed logit

R Last Edited: Module name: R 2. Scope: a. This module covers use of the R language for performing the statistical analysis needed for

Source URL: curric.dlib.vt.edu

• Matrix theory
• Linear algebra
• Numerical linear algebra
• Natural language processing
• Singular value decomposition
• Latent semantic analysis
• Matrix
• Eigenvalues and eigenvectors
• Diagonal matrix
• Eigendecomposition of a matrix
• Document-term matrix
• Determinant

The Complete Mixability and Convex Minimization Problems with Monotone Marginal Densities Bin Wang∗ and Ruodu Wang† May 9, 2011 Abstract

Source URL: sas.uwaterloo.ca

• Mathematical analysis
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• Probability
• Probability distributions
• Statistical theory
• Binomial distribution
• Distribution
• Expected value
• Completeness

Support vector machines, data reduction, and approximate kernel matrices XuanLong Nguyen1 , Ling Huang2 , and Anthony D. Joseph3 1 SAMSI & Duke University,

Source URL: dept.stat.lsa.umich.edu

• Statistics
• Mathematical analysis
• Mathematics
• Statistical classification
• Functional analysis
• Linear algebra
• Numerical linear algebra
• Support vector machine
• Kernel method
• Kernel
• Normal distribution
• Matrix

StatisticsLecture 19 One Way Analysis of Variance ANOVA •A statistical method for comparing several population

Source URL: www-stat.wharton.upenn.edu

journalof Journal of Statistical Planning and InferenceELSEVIER

Source URL: www.ntu.edu.sg

• Fourier analysis
• Multiplier
• Difference set
• Divisor
• Sheaf theory
• Binary operations
• Sheaf of modules
• Convolution

Curriculum Vitae: Dianne Helen CookDepartment of Econometrics and Business Statistics, Monash University Office Address: E762A Menzies

Source URL: dicook.github.io

• Visualization
• Software
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• Computing
• Free statistical software
• GGobi
• Computational science
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• Parallel coordinates
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