Confidence Intervals

David J. Olive
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David J. Olive: Southern Illinois University, Department of Mathematics

Chapter Chapter 9 in Statistical Theory and Inference, 2014, pp 257-290 from Springer

Abstract: Abstract Point estimators give a single reasonable (value) estimate of θ and were covered in Chaps. 5 and 6. Interval estimators, such as confidence intervals, give an interval of “reasonable” estimated values of the parameter. Large sample confidence intervals and tests are also discussed in this chapter. Section 9.3 suggests that bootstrap and randomization confidence intervals and tests should use m = max(B, [nlog(n)]) samples instead of a fixed number of samples such as B = 1, 000.

Keywords: Large Sample Confidence Interval; Nominal Coverage; Resampling Algorithm; Simulated Coverage; Conservative Interval (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-319-04972-4_9

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