Puza, Borek; Roberts, Steven; Yang, Mo
This paper focuses on constrained confidence intervals in the context of environmental time series studies where one seeks to ascertain the effects of ambient air pollution on human mortality. If the regression parameter representing such effects is non-negative, corresponding to a belief that more pollution cannot be beneficial, a desirable goal is to produce a constrained confidence interval for the parameter which is entirely non-negative. We show how this goal can be achieved using the...[Show more]
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.