<--- Back to Details
First PageDocument Content
Estimation theory / Statistical theory / Maximum likelihood estimation / Bias of an estimator / Estimator / Parameter / Likelihood function / Standard deviation / Variance function
Date: 2011-04-15 15:33:05
Estimation theory
Statistical theory
Maximum likelihood estimation
Bias of an estimator
Estimator
Parameter
Likelihood function
Standard deviation
Variance function

Local likelihood estimation for nonstationary random fields

Add to Reading List

Source URL: www.stat.ucdavis.edu

Download Document from Source Website

File Size: 852,21 KB

Share Document on Facebook

Similar Documents

Maximum Likelihood Estimation for Allele Frequencies Biostatistics 666 Previous Series of Lectures: Introduction to Coalescent Models

DocID: 1vqGj - View Document

ECE 901 Lecture 14: Maximum Likelihood Estimation and Complexity Regularization R. Nowak

DocID: 1vgnM - View Document

ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 13: Maximum Likelihood Estimation

DocID: 1vbHd - View Document

ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 14: Maximum Likelihood and Complexity Regularization Review : Maximum Likelihood Estimation We have n i.i.d observations drawn from an unknown

DocID: 1v01G - View Document

Error model estimation by maximum-likelihood methods in the context of dynamic modeling Mirjam Fehling-Kaschek1 , Daniel Kaschek1 , Wolfgang Mader1 , Marcus Rosenblatt1 , Jens Timmer1,2,3 1 Institute of Physics, Freibur

DocID: 1uWYB - View Document