Skip to main navigation
Skip to search
Skip to main content
Rutgers, The State University of New Jersey Home
Help & FAQ
Home
Profiles
Research units
Core Facilities
Federal Grants
Research output
Search by expertise, name or affiliation
Nonlinear Time Series Clustering Based on Kolmogorov-Smirnov 2D Statistic
Beibei Zhang,
Rong Chen
School of Arts and Sciences, Statistics
Research output
:
Contribution to journal
›
Article
›
peer-review
7
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Nonlinear Time Series Clustering Based on Kolmogorov-Smirnov 2D Statistic'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Cluster-based
100%
Nonlinear Time Series
100%
Kolmogorov-Smirnov Test
100%
Time Series Clustering
100%
Nonparametric
33%
Two Dimensional
33%
Analytic Tools
33%
Model Assumptions
33%
Parameter Estimation
33%
Simulation Study
33%
Common Model
33%
Panel Time Series
33%
Distance Measure
33%
Clustering Methods
33%
Dependence Structure
33%
Common Parameter
33%
Linearity Assumption
33%
Nonlinear Serial Dependence
33%
Mathematics
Kolmogorov-Smirnov Test
100%
Simulation Study
50%
Common Share
50%
Parameter Estimate
50%
Real Data
50%
Serial Dependence
50%
Clustering
50%
Dependence Structure
50%
Clustering Method
50%