Overview
Smithson first introduces the basis of the confidence interval framework and then provides the criteria for "best" confidence intervals, along with the trade-offs between confidence and precision. Next, using a reader-friendly style with lots of worked out examples from various disciplines, he covers such pertinent topics as: the transformation principle whereby a confidence interval for a parameter may be used to construct an interval for any monotonic transformation of that parameter; confidence intervals on distributions whose shape changes with the value of the parameter being estimated; and, the relationship between confidence interval and significance testing frameworks, particularly regarding power.
- | Author: Michael Smithson
- | Publisher: Sage Publications, Inc
- | Publication Date: Nov 12, 2002
- | Number of Pages: 104 pages
- | Binding: Paperback or Softback
- | ISBN-10: 076192499X
- | ISBN-13: 9780761924999
