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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 tradeoffs 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;…
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1 edition- Other · English · 2003Sage Publications · 93 pages · 9780761924999
Confidence intervalsMathematicsSocial sciencesStatistical methodsSocial sciences, statistical methodsSocial sciences, mathematical modelsSociometric Techniques