What does SIMCA mean?
SIMCA means Statistical Isolinear Multiple Component Analysis
This acronym/slang usually belongs to Medical & Science category.
What is the abbreviation for Statistical Isolinear Multiple Component Analysis?
Statistical Isolinear Multiple Component Analysis can be abbreviated as SIMCA
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Most popular questions people look for before coming to this page
Q: A: |
What does SIMCA stand for? SIMCA stands for "Statistical Isolinear Multiple Component Analysis". |
Q: A: |
How to abbreviate "Statistical Isolinear Multiple Component Analysis"? "Statistical Isolinear Multiple Component Analysis" can be abbreviated as SIMCA. |
Q: A: |
What is the meaning of SIMCA abbreviation? The meaning of SIMCA abbreviation is "Statistical Isolinear Multiple Component Analysis". |
Q: A: |
What is SIMCA abbreviation? One of the definitions of SIMCA is "Statistical Isolinear Multiple Component Analysis". |
Q: A: |
What does SIMCA mean? SIMCA as abbreviation means "Statistical Isolinear Multiple Component Analysis". |
Q: A: |
What is shorthand of Statistical Isolinear Multiple Component Analysis? The most common shorthand of "Statistical Isolinear Multiple Component Analysis" is SIMCA. |
Abbreviations or Slang with similar meaning
- MCA - Multiple Classification Analysis
- MCA - Multiple Correspondence Analysis
- MGA - Multiple Group Analysis
- MRA - Multiple Regression Analysis
- MRA - Multiple Relationship Analysis
- CAUSE - Component Analysis for Understanding the Sustainable Environment
- MAA - Multiple Accounts Analysis
- MCFE - Multiple Component Feature Extraction
- MCP - Multiple Component Pricing
- MDA - Multiple Discriminant Analysis
- MFA - Multiple Factor Analysis
- MIA - Multiple Indicator Analysis
- MUMC - Multiple User Multiple Component
- MVA - Multiple Variable Analysis
- SCAA - Statistical Catch at Age Analysis
- SIMA - Statistical Information Management and Analysis
- Melt - Multiple-Channel Analysis of Top Accidents
- MCF - Multiple Component Facilities
- MCA - Multiple-Criteria Analysis
- MFA - Multiple Filter Analysis