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Traditional Estimation Procedures

In: Binomial Distribution Handbook for Scientists and Engineers

Author

Listed:
  • Elart von Collani

    (University of Würzburg)

  • Klaus Dräger

    (University of Würzburg)

Abstract

Having defined the quantity of interest to be the probability p of a specified event E leads to the problem of measuring the actual value p of p. Traditionally, measurement of stochastical quantities is called estimation, which constitutes the core of statistical science. The most successful attempt to develop an estimation theory is due to Jerzy Neyman, who introduced the concept of confidence intervals with guaranteed reliability and thereby identified precision as the ultimate aim of an estimation method. Large parts of the traditional theory of estimation were developed and established by Jerzy Neyman. However, some of his proposals were not taken up by the statistical community. Therefore, a brief outline of Neyman’s approach is given here, particularly because the ideas and methodology developed in the next chapters are based essentially on Neyman’s results.

Suggested Citation

  • Elart von Collani & Klaus Dräger, 2001. "Traditional Estimation Procedures," Springer Books, in: Binomial Distribution Handbook for Scientists and Engineers, chapter 0, pages 32-56, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4612-0215-8_3
    DOI: 10.1007/978-1-4612-0215-8_3
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