Confidence Intervals – Michael Smithson (Paperback / Soft Cover)

Using lots of easy to understand examples from different disciplines, Michael J Smithson 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. Confidence Intervals 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.

Author: Michael Smithson
Format: Paperback / Soft Cover
Pages: 104
Size: Not Specified
Weight: Not Specified