Table 2. Shoreline Length by Major Water Body and Likelihood of Shore Protection in Pennsylvania (miles) Likelihood of Shore Protection County Delaware River Total

Source URL: risingsea.net

Selection of a suitable data set and model for the estimation of genetic parameters of the weaning weight in beef cattle*

Source URL: www.archanimbreed.com

• Genetics
• Heritability
• Genetic variance
• Genetic correlation
• Normal distribution
• Random effects model
• Restricted maximum likelihood
• Best linear unbiased prediction
• Variance
• Explained variation
• Genome-wide complex trait analysis

District of Columbia James G. Titus The Likelihood of Shore Protection along the Atlantic Coast of the United States, Volume 1 FebruaryThe following document can be cited as:

Source URL: risingsea.net

• Neighborhoods in Washington
• D.C.
• National Register of Historic Places in Washington
• D.C.
• Geography of Washington
• D.C.
• Wetland
• Anacostia
• Washington
• D.C.
• Potomac River
• James Creek
• Hains Point
• Maryland
• Georgetown
• East Potomac Park

Estimating population size using the network scale up method

Source URL: www.stat.washington.edu

• Statistical theory
• Estimation theory
• Statistical inference
• Summary statistics
• Probability distributions
• Bias of an estimator
• Standard deviation
• Normal distribution
• Maximum likelihood estimation
• Random walk
• Estimator
• Sampling

Data-Discriminants of Likelihood Equations Jose Israel Rodriguez1 and Xiaoxian Tang2 1 University 2 National of Notre Dame, United States of America

Source URL: www.issac-symposium.org

Depth Map and Normal Direction Fusion Depth Map Goal: Include surface normal direction likelihood

Source URL: www.cvg.ethz.ch

• 3D computer graphics
• Normal
• Voxel
• Conference on Computer Vision and Pattern Recognition
• 3D modeling
• Depth map
• Image segmentation
• Wavefront .obj file
• Computer representation of surfaces

This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOITKDE, IEEE Tr

Source URL: people.tubri.org

• Robust statistics
• Estimation theory
• Statistical theory
• Covariance and correlation
• M-estimators
• Outlier
• Maximum likelihood estimation
• Mixture model
• Expectationmaximization algorithm
• Sample mean and covariance
• Efficiency
• Normal distribution

Inference, Models and Simulation for Complex Systems Lecture 3 Prof. Aaron Clauset 1

Source URL: tuvalu.santafe.edu

• Probability distributions
• Exponentials
• Infinitely divisible probability distributions
• Statistical models
• Actuarial science
• Exponential distribution
• Power law
• Maximum likelihood estimation
• Cumulative distribution function
• KolmogorovSmirnov test
• Heavy-tailed distribution

Discrete mixtures of GEV models Stephane Hess, Imperial College London & RAND Europe Michel Bierlaire, EPFL John W. Polak, Imperial College London Conference paper STRC 2005

Source URL: www.idep.eco.usi.ch

• Statistical models
• Regression analysis
• Choice modelling
• Discrete choice
• Mode choice
• Mixed logit
• Probability distribution
• Multinomial logistic regression
• Logistic regression
• Likelihood function
• Mixture model
• Gibbs sampling

Learning stable, regularised latent models of neural population dynamics Lars Buesing, Jakob H. Macke and Maneesh Sahani Gatsby Computational Neuroscience Unit University College London, UK 17 Queen Square, London, WC1N

Source URL: www.mackelab.org

• Estimation theory
• Regression analysis
• Statistical models
• Bayesian statistics
• Econometrics
• Maximum likelihood estimation
• Expectationmaximization algorithm
• Variational Bayesian methods
• Linear regression
• Autoregressive model
• Variance function
• Mixture model