A simulation study for count data models under varying degrees of outliers and zeros.
Fatih TüzenSemra ErbasHülya OlmusPublished in: Commun. Stat. Simul. Comput. (2020)
Keyphrases
- simulation study
- varying degrees
- data model
- databases
- outlier detection
- database systems
- query language
- monte carlo
- relational model
- database management systems
- missing data
- object oriented
- data modeling
- data points
- database design
- object model
- data types
- database
- data integration
- data sources
- noisy data
- robust statistics
- detecting outliers
- novelty detection
- intrusion detection
- database integration
- random sample consensus
- robust regression
- outlier removal