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Confidence intervals / Michael Smithson.

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Using lots of easy to understand examples from different disciplines, the author introduces the basis of the confidence interval framework and provides the criteria for `best′ confidence intervals, along with the trade-offs between confidence and precision. The book 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 - the relationship between confidence interval and significance testing frameworks, particularly regarding power.

資料來源: Google Book
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