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

858 Book Reviews ratio of two probability densities. Instead of using the log-likelihood ratio, one may use a power function or some convex function of the likelihood ratio, a generalization due to A. Renyi and I. Csisz

Source URL: www.math.ntnu.no

858 Book Reviews ratio of two probability densities. Instead of using the log-likelihood ratio, one may use a power function or some convex function of the likelihood ratio, a generalization due to A. Renyi and I. Csisz

Source URL: www.math.ntnu.no

Privacy-Preserving Reconstruction of Multidimensional Data Maps in Vehicular Participatory Sensing Nam Pham1 , Raghu K. Ganti1 , Yusuf S. Uddin1 , Suman Nath2 and Tarek Abdelzaher1 1

Source URL: research.microsoft.com

• Maximum likelihood
• Expectation–maximization algorithm
• Likelihood function
• Perturbation theory
• Statistics
• Estimation theory
• Mathematical analysis

Modelling Changes in the Unconditional Variance of Long Stock Return Series Cristina Amado∗ University of Minho and NIPE Campus de Gualtar, Braga, Portugal

Source URL: creates.au.dk

• Autoregressive conditional heteroskedasticity
• Maximum likelihood
• Estimator
• Entailment
• Likelihood function
• Estimation theory
• Statistics
• Logic

Computing Chernoff ’s distribution Piet Groeneboom1 and Jon A. Wellner2 November 3, 1999 Abstract A distribution which arises in problems of estimation of monotone functions is that of the

Source URL: dutiosb.twi.tudelft.nl

• Statistical theory
• M-estimators
• Probability and statistics
• Normal distribution
• Maximum likelihood
• Heat equation
• Beta function
• Mean difference
• Statistics
• Mathematical analysis
• Estimation theory

cc24j, CHAPTER 24 MODEL COMPARISON \Entities are not to be multiplied without necessity" - - - William of Ockham, ca 1330 We have seen in some detail how to conduct inferences { test hypotheses, estimate paramete

Source URL: www-biba.inrialpes.fr

• Estimation theory
• Statistical inference
• Model selection
• Maximum likelihood
• Likelihood function
• Bayesian inference
• Principle of maximum entropy
• Likelihood principle
• Prior probability
• Statistics
• Bayesian statistics
• Statistical theory

Efficiency analysis of the Portuguese beam trawl fleet that targets the common prawn Palaemon serratus (Pennant). Rui J. Lopes* CEFAGE-UE, Centro de Estudos e Formação Avançada em Gestão e Economia Universidade de É

Source URL: www.univ-brest.fr

• Technology
• Economic efficiency
• Stochastic frontier analysis
• Data envelopment analysis
• Cobb–Douglas production function
• Production function
• Total factor productivity
• Maximum likelihood
• Normal distribution
• Microeconomics
• Business
• Economics

Marginal set likelihood for semiparametric copula estimation Peter D. Hoff 1 Working Paper no. 65 Center for Statistics and the Social Sciences University of Washington Seattle, WA

Source URL: www.csss.washington.edu

• Multivariate statistics
• Regression analysis
• Copula
• Statistical dependence
• Multivariate normal distribution
• Normal distribution
• Conjugate prior
• Likelihood function
• Marginal likelihood
• Statistics
• Bayesian statistics
• Estimation theory