<--- Back to Details
First PageDocument Content
Statistical theory / M-estimators / Statistical models / Restricted maximum likelihood / Maximum likelihood / Generalized linear model / Least squares / Mixed model / Estimating equations / Statistics / Regression analysis / Estimation theory
Date: 2006-01-11 15:50:57
Statistical theory
M-estimators
Statistical models
Restricted maximum likelihood
Maximum likelihood
Generalized linear model
Least squares
Mixed model
Estimating equations
Statistics
Regression analysis
Estimation theory

Add to Reading List

Source URL: imstat.org

Download Document from Source Website

File Size: 645,14 KB

Share Document on Facebook

Similar Documents

C ONTRIBUTED RESEARCH ARTICLE 105 CRTgeeDR: an R Package for Doubly Robust Generalized Estimating Equations

DocID: 1tLSo - View Document

2010 Paper 8 Question 4 Computer Vision (a) Explain how each of the following equations or expressions can be used for detecting and estimating visual motion in a spatio-temporal image sequence I(x, y, t). Include in ea

DocID: 1mgQc - View Document

Statistics / Estimation theory / Covariance matrix / Estimator / Maximum likelihood estimation / Variance / Covariance / Regression analysis / M-estimator / Normal distribution / Linear regression / Expected value

Ann Inst Stat Math:329–351 DOIs10463Expectation-robust algorithm and estimating equations for means and dispersion matrix with missing data Ke-Hai Yuan · Wai Chan · Yubin Tian

DocID: 1mfhz - View Document

Estimating Covariance Matrices WARNING: EQUATIONS INSIDE! Jon Sporring Department of Computer Science, University of Copenhagen Universitetsparken 1, DK-2100 Copenhagen, Denmark Ven — 2009

DocID: 1gyss - View Document

Fluid mechanics / Aerodynamics / Partial differential equations / Incompressible flow / Plasma / Magnetic field / Guiding center / Compressible flow / Hasegawa–Mima equation / Physics / Calculus / Plasma physics

Proceedings of ITC/ISHW2007 ICNTS - Impact of Incompressible E × B Flow in Estimating Mono-Energetic Transport Coefficients Craig D. BEIDLER1) , Maxim Yu. ISAEV1) , Sergei V. KASILOV3,4) , Winfried KERNBICHLER3) , Henn

DocID: 1b1Ag - View Document