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Probability theory and mathematical statistics

  • I. N. Bronshtein
  • K. A. Semendyayev

Abstract

Many processes in nature, in engineering, in economy, and in other domains are subject to chance, that is, the outcome of the process cannot be predicted. However, it turns out that even for such processes quantitative statements can be made when sufficiently many of them have been observed under equal conditions. For instance, when a coin is tossed, one cannot predict whether heads or tails will appear on top. But if an unbiased coin is tossed a great number of times, one can observe that the ratio of the number of “head” tosses to the total number of tosses differs little from 1/2, and differs from it less and less as the number of tosses increases.

Keywords

Random Vector Elementary Event Central Moment Empirical Distribution Function Sample Function 
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 Fachmedien Wiesbaden 1979

Authors and Affiliations

  • I. N. Bronshtein
  • K. A. Semendyayev

There are no affiliations available

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