Package ‘vsn’ July 17, 2015 VersionTitle Variance stabilization and calibration for microarray data Author Wolfgang Huber, with contributions from Anja von Heydebreck. Many comments and suggestions by users a

Source URL: bioconductor.org

• Microarrays
• Gene expression
• Data analysis
• Data transformation
• Maximum likelihood
• DNA microarray
• R
• Likelihood function
• Likelihood-ratio test
• Statistics
• Estimation theory
• Statistical theory

Con…dence Sets for Continuous and Discontinuous Functions of Parameters Tiemen Woutersen and John C. Ham University of Arizona, and University of Maryland, IZA, IRP (Madison), IFAU, and IFS October 16, 2013 Abstract.

Source URL: econweb.umd.edu

• M-estimators
• Data analysis
• Computational statistics
• Bootstrapping
• Resampling
• Maximum likelihood
• Estimator
• Delta method
• Normal distribution
• Statistics
• Statistical inference
• Estimation theory

Derivation and Applicability of Asymptotic Results for Multiple-Subtest Person-Fit Statistics (RRPDF)

Source URL: www.lsac.org

• Normal distribution
• Statistical hypothesis testing
• Asymptotic theory
• Score
• T-statistic
• G factor
• Maximum likelihood
• Law School Admission Test
• Statistics
• Estimation theory
• Statistical theory

Evaluation of a New Variance Component Estimation Method Hierarchical GLM Approach with Application in QTL Analysis Author:

Source URL: www.statistics.du.se

• Data analysis
• Bayesian statistics
• Statistical theory
• Generalized linear model
• Maximum likelihood
• Expectation–maximization algorithm
• Normal distribution
• Mixed model
• Restricted maximum likelihood
• Statistics
• Estimation theory
• Regression analysis

Maximum Likelihood Estimation of Censored Stochastic Frontier Models: An Application to the Three-Stage DEA Method* Wen-Jen Tsay Institute of Economics Academia Sinica

Source URL: econ.ccu.edu.tw

Mutual Information Approximation via Maximum Likelihood Estimation of Density Ratio Taiji Suzuki Masashi Sugiyama

Source URL: www.ms.k.u-tokyo.ac.jp

MAXIMUM LIKELIHOOD ESTIMATION OF LINEAR EQUATION SYSTEMS WITH AUTO-REGRESSIVE RESIDUALS’ BY GKECORYC. CHOW ANU RAY C. FAIR

Source URL: fairmodel.econ.yale.edu

Least Squares Revisited • In slide set 4 we studied the Least Squares. • Together with the Maximum Likelihood, it is by far the most widely used estimation method.

Source URL: www.cs.tut.fi

Maximum likelihood estimation for Markov processes Jakob G. Rasmussen Department of Mathematics Aalborg University Denmark

Source URL: people.math.aau.dk

A Framework for Exploiting Local Information to Enhance Density Estimation of Data Streams

Source URL: europa.nvc.cs.vt.edu

• Estimation theory
• Kernel density estimation
• KDE
• Density estimation
• Maximum likelihood
• Estimator
• Multivariate kernel density estimation
• Statistics
• Non-parametric statistics
• Statistical inference