Confidence Intervals

• Author(s): Michael Smithson,
• Publisher: SAGE
• Pages: 93
• ISBN_10: 076192499X
  ISBN_13: 9780761924999
  
• Language: en
• Categories: Mathematics / Probability & Statistics / General , Reference / Research , Social Science / Methodology , Social Science / Research , Social Science / Statistics , Technology & Engineering / Engineering (General) ,

Description:... 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.