Statisticians and other analysts use confidence intervals to understand whether their sample estimations, inferences, or predictions match the actual populations. If a confidence interval contains ...

Jean-Pierre Florens, Joël L. Horowitz, Ingrid Van Keilegom, Bias-Corrected Confidence Intervals in a Class of Linear Inverse Problems, Annals of Economics and Statistics, No. 128 (December 2017), pp.

Learn about the value at risk, how confidence intervals and confidence levels are used to interpret the value at risk and the difference between the two.

Although it is well known that modern methods of computing confidence intervals (CIs) based on likelihood or simulation have important advantages, normal approximation confidence interval procedures ...