Skip to main navigation
Skip to search
Skip to main content
Experts@Syracuse Home
Help & FAQ
Home
Profiles
Research units
Research output
Equipment
Grants
Activities
Press and Media
Prizes
Search by expertise, name or affiliation
On interval estimation for the number of signals
Pinyuen Chen
Department of Mathematics
Research output
:
Contribution to journal
›
Conference Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'On interval estimation for the number of signals'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Parameter Space
100%
Eigenvalues
100%
Least Favorable Configuration
100%
Interval Estimation
100%
Number of Signals
100%
Sample Eigenvalues
100%
Tion
50%
Multistep Procedure
50%
Guaranteed Probability
50%
Lower Limit
50%
Minimum Sample Size
50%
Mathematics
Eigenvalue
100%
Interval Estimation
100%
Parameter Space
50%
Probability Theory
50%
Asymptotics
25%
Upper Limit
25%
Step Procedure
25%
Lower Limit
25%