Confidence intervals show the likelihood a data range contains the true mean, aiding investment decisions. A wider interval suggests lower estimate accuracy, influencing market and risk analysis ...

Observations of a stationary stochastic process can be transformed into a standardized time series. This paper presents a lemma giving the asymptotic properties of this standardized series under quite ...

The following example illustrates how you can construct a bootstrap confidence interval by using the multiple responses feature in PROC TPSPLINE. Numerous epidemiological observations have indicated ...

This example calculates confidence intervals based on the profile likelihood for the parameters estimated in the previous example. The following introduction on profile-likelihood methods is based on ...

This paper reviews methods of constructing confidence intervals for parameters or other characteristics of the Weibull or extreme value distribution. The conditional method of obtaining confidence ...

Geoff Cumming receives funding from the Australian Research Council. Such research findings sound exciting because the word significant suggests important and large. But researchers often use the word ...