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Confidence Intervals

Confidence Intervals by Michael Smithson
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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.

SAGE Publications; November 2002
104 pages; ISBN 9781483389288
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Title: Confidence Intervals
Author: Michael Smithson
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Michael Smithson - The Conversation
Thu, 28 Mar 2013 00:18:45 -0700
The ConversationMichael SmithsonThe ConversationHe is the author of Confidence Intervals (2003), Statistics with Confidence ...