<--- Back to Details
First PageDocument Content
Statistical inference / M-estimators / Maximum likelihood / Bias of an estimator / Estimator / Likelihood function / Extremum estimator / Bayes estimator / Statistics / Estimation theory / Statistical theory
Date: 2002-12-20 12:21:00
Statistical inference
M-estimators
Maximum likelihood
Bias of an estimator
Estimator
Likelihood function
Extremum estimator
Bayes estimator
Statistics
Estimation theory
Statistical theory

Add to Reading List

Source URL: courses.ncssm.edu

Download Document from Source Website

File Size: 148,86 KB

Share Document on Facebook

Similar Documents

Stat 928: Statistical Learning Theory Lecture: 4 The Central Limit Theorem; Large Deviations; and Rate Functions Instructor: Sham Kakade

DocID: 1vkcR - View Document

Stat 928: Statistical Learning Theory Lecture: 22 Exponentiated Gradient Descent Instructor: Sham Kakade

DocID: 1vbLp - View Document

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

DocID: 1vbHd - View Document

Statistical learning theory : a primer Louis Wehenkel University of Li`ege - Institut Montefiore Department of Electrical Engineering and Computer Science Email : February 1, 2018

DocID: 1v6Ai - View Document

Stat 928: Statistical Learning Theory Lecture: 19 Perceptron Lower Bound & The Winnow Algorithm Instructor: Sham Kakade

DocID: 1v3Qc - View Document