Formulation of the Problem

  • Hung T. Nguyen
  • Vladik Kreinovich
  • Berlin Wu
  • Gang Xiang
Part of the Studies in Computational Intelligence book series (SCI, volume 393)

Abstract

Need for statistical analysis. In many areas of science and engineering, we have a class (“population”) of objects, and we are interested in the values of one or several quantities characterizing objects from this population. For example, we are interested in the human population in a certain region, and we are interested in their heights, weights, etc.

Different objects from a population have, in general, different values of the desired characteristics. Measuring, storing, and processing all these values is often not practically feasible. Instead of measuring all these values, we therefore measure the values x1,..., x n corresponding to a sample from the population. Based on these sample values, we need to estimate statistical characteristics c – i.e., characteristics that describe the population as a whole, such as the mean and the variance of different quantities, the correlation between different quantities, etc.

Keywords

Measurement Error Measurement Uncertainty Interval Uncertainty Expert Estimate Privacy Violation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Hung T. Nguyen
    • Vladik Kreinovich
      • Berlin Wu
        • Gang Xiang

          There are no affiliations available

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