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The Classical Data Situation

  • Hans-Hermann Bock
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

The classical methods of statistical data analysis were designed for a relatively simple situation. First, the data were obtained for single individuals (persons, objects, products,…) which were the basic entities of the data gathering process by using interviews, experiments, archives, etc. Second, the recorded data concerned a list of one or several well defined variables and, third, these variables were single-valued insofar as the observation of each variable for a given individual resulted in just one single ‘value’ or ‘category’ such as in the statements: ‘the height of a person is 170 cm’, ‘the colour of a car is red’ etc. Depending on the situation, these variables were classified into quantitative (continuous or discrete) and qualitative (ordinal or nominal) ones.

Keywords

Data Matrix Symbolic Data Logical Dependence Symbolic Variable Stochastic Independence 
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 2000

Authors and Affiliations

  • Hans-Hermann Bock
    • 1
  1. 1.Institut für StatistikRWTH AachenGermany

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