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MS 26 Design of data and indicator robustness measures
Ward Langeraert
,
Toon Van Daele
Biometry, Methodology and Quality Assurance
Environment and Climate
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Dive into the research topics of 'MS 26 Design of data and indicator robustness measures'. Together they form a unique fingerprint.
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Keyphrases
Robustness Index
100%
Uncertainty Quantification
75%
Data Cube
50%
Bootstrap Distribution
50%
Skewness
50%
Taxonomical
25%
Single Species
25%
Biodiversity Assessment
25%
Confidence Interval
25%
Spatial-temporal
25%
Bootstrap
25%
Data Quality
25%
Early Warning System
25%
Informed Decision-making
25%
Confidence Limits
25%
Cross-validation Method
25%
Data Clustering
25%
Variability Measure
25%
Data Variability
25%
Uncertainty Effect
25%
Measuring Uncertainty
25%
Existing Techniques
25%
Bootstrap Resampling Method
25%
Interval Type
25%
Uncertainty Calculation
25%
Indicator Calculation
25%
Basic Centers
25%
Mathematics
Cube
100%
Bootstrapping
75%
Uncertainty Quantification
75%
Cross-Validation
50%
Data Exploration
50%
Skewness
50%
Reference Value
25%
Variability Measure
25%
Representativeness
25%
Gaussian Distribution
25%
Exploratory Data Analysis
25%
Confidence Limit
25%
Confidence Interval
25%
Clustered Data
25%
Computer Science
Robustness Measure
100%
Data Cube
66%
Data Exploration
66%
Cross-Validation
66%
Representativeness
33%
Decision-Making
33%
Best Practice
33%
Confidence Limit
33%
Reference Value
33%
Early Warning System
33%
Normal Distribution
33%
Validation Technique
33%
Clustered Data
33%