Confidence Intervals
| By: | Michael Smithson |
| Publisher: | SAGE Publications, Inc. (US) |
| Print ISBN: | 9780761924999 |
| eText ISBN: | 9781483389288 |
| Edition: | 1 |
| Copyright: | 2002 |
| Format: | Reflowable |
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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.