Confidence Intervals (Quantitative Applications in the Social Sciences)

By Michael Smithson

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.

• Format: Paperback
• Language: English
• ISBN: 076192499X
• ISBN13: 9780761924999
• Release Date: November 2002
• Publisher: Sage Publications, Inc
• Length: 104 Pages
• Weight: 0.31 lbs.
• Dimensions: 0.2" x 5.5" x 8.4"