Microsoft Word - JJMS_5_.doc

Source URL: journals.yu.edu.jo

• Efficient estimator
• Bayes estimator
• Maximum likelihood
• Mean squared error
• Loss function
• Estimator
• Errors and residuals in statistics
• Statistics
• Estimation theory
• Statistical theory

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

A Fast Parsimonious Maximum Likelihood Approach for Predicting Outcome Variables from a Large Number of Predictors Jay Magidson Statistical Innovations Inc. Belmont, Massachusetts, United States jay@statisticalinnovation

Source URL: www.statisticalinnovations.com

VARIABLE SELECTION IN LINEAR REGRESSION: SEVERAL APPROACHES BASED ON NORMALIZED MAXIMUM LIKELIHOOD Ciprian Doru Giurc˘aneanu, Seyed Alireza Razavi, Antti Liski Department of Signal Processing Tampere University of Techn

Source URL: www.helsinki.fi

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

Class 1 maximum likelihood classifier parallelepiped classifier

Source URL: www.ccpo.odu.edu

Normalising constants and maximum likelihood inference

Source URL: people.math.aau.dk