<--- Back to Details
First PageDocument Content
Statistics / Estimation theory / Statistical theory / Maximum likelihood estimation / Efficient estimator / Efficiency / Estimator / Asymptotic theory / Ole Barndorff-Nielsen / Likelihood function / Two-step M-estimators involving MLE / Generalized method of moments
Date: 2016-06-28 03:34:43
Statistics
Estimation theory
Statistical theory
Maximum likelihood estimation
Efficient estimator
Efficiency
Estimator
Asymptotic theory
Ole Barndorff-Nielsen
Likelihood function
Two-step M-estimators involving MLE
Generalized method of moments

Ann Inst Stat Math:469–490 DOIs10463Second-order asymptotic comparison of the MLE and MCLE of a natural parameter for a truncated exponential family of distributions

Add to Reading List

Source URL: www.ism.ac.jp

Download Document from Source Website

File Size: 279,32 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

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

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

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

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

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

DocID: 1v3Qc - View Document