Computing population variance and entropy under interval uncertainty: Linear-time algorithms

DOI10.1007/s11155-007-9045-6zbMath1146.65014OpenAlexW2000292097MaRDI QIDQ2481140

Martine Ceberio, Gang Xiang, Vladik Ya. Kreinovich

Publication date: 14 April 2008

Published in: Reliable Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11155-007-9045-6

zbMATH Keywords

entropysample varianceinterval data

Mathematics Subject Classification ID

Related Items (4)

Estimating sample mean under interval uncertainty and constraint on sample variance ⋮ Estimating information amount under uncertainty: algorithmic solvability and computational complexity ⋮ Computing the variance of interval and fuzzy data ⋮ One-way ANOVA based on interval information

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• Outlier detection under interval uncertainty: algorithmic solvability and computational complexity
• Exact bounds on finite populations of interval data
• Population variance under interval uncertainty: a new algorithm
• Uncertainty and Information

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