<--- Back to Details
First PageDocument Content
Estimation theory / Least squares / Maximum likelihood / Linear least squares / Linear regression / Eigenvalues and eigenvectors / Fisher information / Variance / Multiple signal classification / Statistics / Algebra / Regression analysis
Date: 2005-09-25 07:22:49
Estimation theory
Least squares
Maximum likelihood
Linear least squares
Linear regression
Eigenvalues and eigenvectors
Fisher information
Variance
Multiple signal classification
Statistics
Algebra
Regression analysis

Employing Symmetry Constraints for Improved Frequency Estimation by Eigenanalysis Methods∗ Gordon K. Smyth Department of Mathematics, University of Queensland Australia 4072

Add to Reading List

Source URL: www.statsci.org

Download Document from Source Website

File Size: 268,61 KB

Share Document on Facebook

Similar Documents

MathQuest: Linear Algebra  Eigenvalues and Eigenvectors 1. Compute the product  

MathQuest: Linear Algebra Eigenvalues and Eigenvectors 1. Compute the product 

DocID: 1v0yX - View Document

1. For vectors a = (3, 6, −4) and b = (−2, k, 1), determine the value of k such that the two vectors are perpendicular. 2. Determine Eigenvalues and Eigenvectors of the following matrices using R. Explain the results

DocID: 1tYwa - View Document

ES 111 Mathematical Methods in the Earth Sciences Problem Set 6 - Due Mon Nov 24th 2014 Warmup (NPC) 1 a) Find the eigenvectors and eigenvalues of the following matrix, and hence sketch the resulting strain ellipse [5]:

ES 111 Mathematical Methods in the Earth Sciences Problem Set 6 - Due Mon Nov 24th 2014 Warmup (NPC) 1 a) Find the eigenvectors and eigenvalues of the following matrix, and hence sketch the resulting strain ellipse [5]:

DocID: 1rS1k - View Document

Spectral Graph Theory and Applications  WSProblem Set 1 Due: Nov. 25

Spectral Graph Theory and Applications WSProblem Set 1 Due: Nov. 25

DocID: 1rsKM - View Document

103  Documenta Math. Dynamical Symmetries in Supersymmetric Matrix1

103 Documenta Math. Dynamical Symmetries in Supersymmetric Matrix1

DocID: 1roY8 - View Document